Wednesday, December 31, 2025

Git Good Commits vs. Git Bad Commits: A Practical Git Guide for Developers

 

Git Good Commits vs. Git Bad Commits: A Practical Git Guide for Developers

https://www.nilebits.com/blog/2025/12/good-commits-bad-commits-git/

Git is the backbone of modern software development, enabling teams to collaborate on codebases reliably, track changes over time, and roll back mistakes when they occur. But while most teams use Git, not all commits, the basic unit of change, are created equal. A commit can be “good” or “bad,” dramatically affecting team productivity, code quality, and long-term maintainability.

This guide explains what makes a good commit versus a bad commit, illustrated with real Git examples, best practices, tools, and workflows. We’ll also cover how to audit commit quality and build healthy commit discipline in your team.


Why Commit Quality Matters

Quality Git commits matter for developers, teams, and organizations because commits are:

  • The official history of your codebase,
  • A source of truth for debugging and auditing changes,
  • A baseline for automated tools (CI/CD, linters, deploys),
  • The unit of teamwork for merges and pull requests.

Poor commit practices lead to long code reviews, brittle releases, merge conflicts, technical debt, and wasted time.


What Is a Commit in Git?

A commit in Git represents a snapshot of your project at a point in time. It includes:

  • A unique ID (SHA),
  • Author and timestamp,
  • A commit message,
  • A tree of file changes.

When done right, each commit explains why a change was made, not just what was changed.

From the official Git documentation:

“The commit command creates a new commit containing the current contents of the index and a message from the user describing the changes.”
Source: Git Book , https://git-scm.com/book/en/v2


Good Commit Characteristics

A “good commit” has:

  1. Logical scope: Each commit changes only one thing (one feature, one bug fix).
  2. Clean diffs: Code changes are readable, minimal, and relevant.
  3. Clear messages: The commit message explains why, not just what.
  4. Test coverage: The commit includes added or updated tests where applicable.
  5. Reversibility: Each commit stands alone and can be rolled back safely.

Let’s look at each in more detail.


1. Logical Scope

Commits should be small and focused.

Example of a Good Logical Scope

Instead of:

commit 3f9a7b
- Added full user management feature
- Updated CI config
- Changed CSS framework

Split into multiple commits:

commit f41a2c3
feat: Add user registration API

commit a93c8d2
ci: Update CI pipeline to include integration tests

commit c3d1e4f
style: Replace Bootstrap with Tailwind CSS

This practice makes it easier to review, revert, and understand context.


2. Clean Diffs

"Clean diffs" means that changed lines reflect intent, not noise like formatting changes, debug statements, or unrelated edits.

Example of Clean vs. Messy Diff

Messy commit:

- console.log("debug user id", userId)
+ // Removed debug code

Cleaner alternative:

Keep debug logs out of commits entirely. If needed, use conditional debug flags or logging frameworks.


3. Clear Messages

Commit messages should follow a consistent style. A popular approach is the Conventional Commits standard:

Format: <type>(<scope>): <short summary>

Examples:

feat(auth): add JWT token refresh endpoint
fix(ui): correct button alignment in settings page
refactor(utils): simplify date parsing logic

Use imperative voice like a command:

Fix typo
Add tests
Remove redundant code

Useful references:


4. Test Coverage

A good commit should include or update tests that validate changes:

# Example of adding a unit test
git add tests/userService.test.js
git commit -m "test(user): add tests for user login failure states"

If you change behavior without tests, future changes may regress functionality.


5. Reversibility

Each commit should be able to stand alone , meaning that if you revert it, the system still builds and runs.

Bad Practice:

Committing half of a feature across multiple unrelated commits:

commit a1 Add half of new API
commit b2 Break tests by updating config

This makes it hard to revert without affecting other parts.


Bad Commit Characteristics

A “bad commit” typically has:

  • Unrelated changes bundled together,
  • Non-descriptive messages like “fix” or “update”,
  • Large size with hundreds of changed lines,
  • No tests,
  • WIP (Work In Progress) commits merged into main branches.

Let’s explore examples.


1. Large, Unfocused Commits

Bad commit example:

commit e8b99a
- Updated login API
- Refactored UI components
- Fixed typo in README

This mixes multiple logical concerns, a major anti-pattern.

Why it’s bad:

  • Hard to review,
  • Hard to revert,
  • Muddies history.

2. Poor Messages

Examples of insufficient commit messages:

commit 91a3f4
"fix stuff"
commit 4b2d1c
"changes"

These messages don’t provide context.

Better:

fix(auth): handle missing JWT token scenario

3. Including Temporary Debug Code

Example of a bad diff:

+ console.log("check user id:", userId)

Debug code should be removed before commit.


4. Committing Generated Files

Avoid committing files that are:

  • Machine generated (e.g., build output),
  • IDE specific (e.g., .vscode/ folders),
  • Binary libraries you don’t own.

Use .gitignore:

# Node
node_modules/

# Build output
dist/

Commit Message Templates

Using a commit message template ensures consistent structure:

<type>(<scope>): <subject>

<body>

<footer>

Example:

feat(auth): add OAuth support

Added support for Google and GitHub OAuth flows.
Updated documentation in /docs/auth.md

Closes #321

Git Workflow Best Practices

Feature Branches

Use feature branches:

git checkout -b feature/user-profiles

This isolates work until ready to merge.

Pull Requests (PRs) and Reviews

Never push directly to main or production branches. Always require reviews.

Example PR title:

[FEATURE] Add cascading dropdown for countries -> cities

CI/CD Integration

Build tools (GitHub Actions, GitLab CI, Jenkins) can run tests on each commit.

Sample GitHub Actions step:

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v2
    - name: Run tests
      run: npm test

Tools to Improve Commit Quality

Linters

  • ESLint for JavaScript
  • RuboCop for Ruby
  • Pylint for Python

These help avoid commit noise (formatting, syntax errors).

Pre-commit Hooks

Use Husky or Git hooks to enforce standards:

npx husky add .husky/pre-commit "npm test"

This prevents commits that break tests.


Rewriting History, When Is It Okay?

Interactive rebase (git rebase -i) can clean up messy local commits before pushing:

git rebase -i HEAD~4

Be cautious: never rebase public history others depend on.


Real-World Commit Examples (Good vs. Bad)

Bad Commit (Dumping Work)

commit 2bf3a4
misc changes

The title is vague, and commit contains unrelated content:

+ fixed button
+ added navbar
+ updated CSS framework

Analysis: Too many independent changes.


Good Commit (Focused)

feat(ui): improve navbar responsiveness

Updated navbar layout and CSS to support mobile widths
down to 320px. Added toggle button for small screens.

Closes #242

Automating Quality

Tools like GitCop, Commitlint, and Semantic Release enforce rules.

Example Commitlint rule:

{
  "rules": {
    "header-max-length": [2, "always", 72],
    "type-enum": [2, "always", ["feat", "fix", "docs", "style", "refactor", "test"]]
  }
}

This ensures commit headers are descriptive and limited to 72 characters.


How to Audit Commits

Run the following to see commit history:

git log --oneline --graph --decorate

Use visual tools like GitKraken, SourceTree, or GitHub insights to inspect patterns.


Commit Metrics Teams Should Track

  • Average commit size (lines changed),
  • Number of PRs per week,
  • Lead time from commit to merge,
  • Percentage of commits with tests.

High quality usually correlates with lower bug rates.


Integrating with Jira, Trello, or GitHub Projects

Include issue IDs in commits:

feat(profile): add upload avatar (JIRA-123)

This links commit to project tickets and improves traceability.


Common Mistakes and How to Avoid Them

MistakeHow to Fix
Vague commit messagesUse Conventional Commits
Big commitsCommit smaller, focused changes
No testsAdd tests before commit
Including debug codeClean code before staging
Committing build filesUse .gitignore

Frequently Asked Questions (FAQ)

Q: Should I amend commits?
A: Only on local branches before pushing.

Q: What size should a commit be?
A: As small as possible while still meaningful.

Q: How often should I commit?
A: Commit after each logical unit of work, not necessarily after every line.


Conclusion

Good commit practices are a foundational competency in software development, and going from a bad commit culture to a good one yields measurable gains in quality, velocity, and team morale.

Key Takeaways:

  • Write focused commits,
  • Use clear, structured messages,
  • Include tests and meaningful diffs,
  • Automate where possible.

If you invest in commit quality, your codebase becomes easier to maintain, review, and extend.


External References

Below are recommended authoritative resources to learn more about Git best practices:


How Nile Bits Can Help

At Nile Bits, we specialize in helping teams build high-quality software with professional Git workflows, CI/CD integration, and team training:

Our Services Include:

  • Git Workflow Design and Audit: We help you establish and enforce enterprise-grade Git commit standards.
  • DevOps & CI/CD Setup: From GitHub Actions to Jenkins pipelines, we automate your testing and deployments.
  • Team Training and Onboarding: Workshops on Git best practices, branching strategies, and collaboration.

If your team struggles with commit discipline, long code reviews, or chaotic releases, Nile Bits can help you stabilize and scale your development processes.

Contact us today to learn how we can elevate your software engineering practices.

https://www.nilebits.com/blog/2025/12/good-commits-bad-commits-git/

Tuesday, December 30, 2025

How to Become a Prompt Engineer: A Skeptical, Practical, and Evidence-Based Guide

 

How to Become a Prompt Engineer: A Skeptical, Practical, and Evidence-Based Guide

https://www.nilebits.com/blog/2025/12/how-to-become-a-prompt-engineer/

Introduction: Prompt Engineering Is Real But Not the Way Social Media Sells It

Let’s start with a reality check.

Prompt engineering is neither a magic shortcut into six-figure tech jobs nor a meaningless buzzword invented by marketing teams. Like many new roles in technology, it sits in an uncomfortable middle ground: overhyped, misunderstood, yet undeniably useful when applied correctly.

At Nile Bits, we spend a lot of time validating technical trends before we advise clients or build teams around them. We’re skeptical by default. We double-check claims. We look for patterns in real production systems, not just demos or viral threads.

Prompt engineering passes that test, but only when you define it properly.

This article is not a “get rich quick” guide. It’s a long-form exploration of what it actually means to become a prompt engineer, how the role fits into real software teams, and what skills truly matter if you want this to be more than a temporary trend.


What Is Prompt Engineering, Really?

Prompt engineering is the practice of designing, testing, refining, and operationalizing inputs to large language models (LLMs) in order to produce reliable, useful, safe, and repeatable outputs.

That definition matters.

It immediately removes a few misconceptions:

  • It’s not just “asking better questions”
  • It’s not copywriting with fancy wording
  • It’s not something you do once and forget

In production environments, prompts behave more like configuration, logic, and interface design than casual text.


Why Prompt Engineering Emerged as a Role

To understand prompt engineering, you have to understand the gap it fills.

The Gap Between Models and Products

Modern AI models are powerful, but they are:

  • Probabilistic, not deterministic
  • Sensitive to phrasing, structure, and context
  • Capable of hallucination

Engineering teams quickly discovered that model quality alone was not enough. The same model could behave wildly differently depending on:

  • Instruction hierarchy
  • Context length
  • Formatting
  • Constraints
  • Examples

Someone had to own that layer.

That “someone” became the prompt engineer.


The First Myth to Kill: Prompt Engineering Is Not a Standalone Career (Usually)

Here’s where skepticism matters.

In most real organizations, prompt engineering is not an isolated job. It is a skill set embedded inside other roles:

  • Software engineers
  • Machine learning engineers
  • Product engineers
  • Data scientists
  • Technical product managers

The companies hiring full-time “Prompt Engineer” titles are usually:

  • Research-heavy
  • Early adopters
  • AI-first startups

For everyone else, prompt engineering is a leverage skill, not a replacement for engineering fundamentals.


Core Skills You Actually Need (Beyond Writing Prompts)

1. Strong Technical Literacy

You don’t need a PhD, but you do need to understand:

  • APIs
  • Tokens and context windows
  • Latency and cost trade-offs
  • Versioning
  • Failure modes

Prompt engineers who can’t reason about systems rarely last.


2. Understanding How LLMs Behave

You should know:

  • Why models hallucinate
  • What temperature and top-p actually do
  • How instruction hierarchy works
  • Why examples matter

This is not theory for theory’s sake. It directly affects output reliability.


3. Structured Thinking and Decomposition

Good prompts are structured.

They:

  • Break tasks into steps
  • Define constraints explicitly
  • Separate instructions from data

This is closer to programming than prose.


4. Evaluation and Testing Mindset

Prompt engineering without evaluation is guesswork.

Serious practitioners:

  • Define success criteria
  • Test prompts across edge cases
  • Compare outputs over time

If you don’t measure, you don’t engineer.


Prompt Engineering Patterns That Actually Work

Let’s move from theory to practice.

Instruction Hierarchy

Clear separation between:

  • System instructions
  • Developer instructions
  • User input

This reduces ambiguity and improves consistency.


Few-Shot Examples

Examples outperform clever wording almost every time.

But only when they are:

  • Relevant
  • Diverse
  • Representative of real inputs

Constrained Output Formats

Production systems don’t want essays.

They want:

  • JSON
  • Structured text
  • Validated schemas

Prompt engineers who ignore this create downstream chaos.


The Uncomfortable Truth: Prompt Engineering Alone Doesn’t Scale

Here’s where hype meets reality.

At scale, prompt engineering must be combined with:

  • Guardrails
  • Post-processing
  • Validation layers
  • Human-in-the-loop workflows

Anyone claiming prompts alone can replace engineering is either inexperienced or selling something.


How Prompt Engineering Fits Into Real Software Teams

In real teams, prompt engineering work often includes:

  • Designing prompt templates
  • Versioning prompts
  • Monitoring failures
  • Collaborating with backend engineers
  • Working closely with product managers

It’s collaborative by nature.


Career Path: How People Actually Become Prompt Engineers

Most prompt engineers don’t start there.

Common paths include:

  • Software engineers moving into AI-heavy products
  • Data professionals expanding into LLM systems
  • Product engineers owning AI features end-to-end

The transition is gradual, not abrupt.


What Makes a Senior Prompt Engineer

Seniority here is not about vocabulary.

It’s about:

  • Reliability
  • Predictability
  • Risk reduction
  • System-level thinking

Senior prompt engineers worry less about phrasing and more about failure modes.


Ethics, Safety, and Responsibility

Prompt engineers influence outputs that affect users.

That comes with responsibility:

  • Reducing bias
  • Preventing harmful outputs
  • Respecting privacy

This is not optional in mature organizations.


Tools Commonly Used by Prompt Engineers

In practice, prompt engineers work with:

  • LLM APIs
  • Logging and observability tools
  • Evaluation frameworks
  • Version control systems

This is engineering work, not experimentation theater.


Prompt Engineering and the Future of Work

Will prompt engineering exist in five years?

ProbablyÙˆ but not as a standalone buzzword.

It will be absorbed into:

  • Software engineering
  • AI engineering
  • Product development

Skills survive longer than titles.


How Companies Can Build Prompt Engineering Capability

Smart companies:

  • Upskill existing engineers
  • Embed prompt work into product teams
  • Treat prompts as production assets

This reduces risk and increases leverage.


How Nile Bits Helps Companies Build AI-Ready Teams

At Nile Bits, we approach AI the same way we approach all engineering problems: with skepticism, structure, and accountability.

Software Outsourcing

We help companies design and build AI-enabled products without cutting corners, combining backend engineering, AI integration, and prompt design into coherent systems.

Staff Augmentation

Our engineers join your team with real production experience, not just theoretical AI knowledge. They contribute immediately and responsibly.

Dedicated Teams

For companies investing long-term in AI capabilities, we build dedicated teams aligned with your architecture, processes, and business goals.


Final Thought

Prompt engineering is not magic.

It’s not easy.

And it’s not for everyone.

But when practiced seriously, grounded in engineering discipline, skepticism, and continuous validation, it becomes a powerful tool.

At Nile Bits, we believe accuracy beats hype, systems beat shortcuts, and long-term thinking always wins.

https://www.nilebits.com/blog/2025/12/how-to-become-a-prompt-engineer/

Monday, December 22, 2025

How Nile Bits Delivers Scalable Software Teams for NA and EU Businesses

 

How Nile Bits Delivers Scalable Software Teams for NA and EU Businesses

https://www.nilebits.com/blog/2025/12/software-teams-for-na-eu-businesses/

In today's fast-paced digital economy, leaders in North America and the European Union continue to struggle with finding the proper software teams, delivering products faster than rivals, and controlling rising development costs. Conventional recruiting and internal development approaches are frequently too expensive, too sluggish, or not sufficiently scalable. Here, strategic software outsourcing and contemporary talent engagement tactics become essential business facilitators.

Nile Bits is a proven software engineering partner that enables organizations to accelerate digital transformation, access top technical talent, and scale development operations with flexibility and control. With service offerings including software outsourcing, IT staff augmentation, and dedicated remote teams, Nile Bits empowers companies of all sizes to achieve their project goals without compromise.

This blog post unpacks how Nile Bits serves North American and European decision makers, the value behind each engagement model, and how to choose the right path for your organization.


1. The Shifting Dynamics of Software Delivery

Decision makers across North America and Europe increasingly recognize that traditional, fully in-house development is no longer the most competitive or efficient model for delivering high-value software.

Labor markets for software developers are tight, with senior engineers commanding premium salaries and long hiring cycles. According to industry data, hiring a mid-to-senior technical role in the United States typically ranges between $60–$150 per hour when calculated into total cost of ownership. Comparable rates in Western Europe similarly reflect high demand and cost pressures.

Additionally, localized hiring models can lead to resource bottlenecks and slower time-to-market, precisely when agility and rapid iteration define winning businesses. These dynamics have driven a shift toward outsourcing and alternative engagement models that expand access to global talent without sacrificing quality or control.


2. Why Outsourcing Software Development Matters in 2026

Software outsourcing is no longer about cost arbitrage alone. Today’s outsourcing partnerships are strategic extensions of internal teams, bringing:

  • Specialized technical expertise
  • Scalable delivery capacity
  • Reduced hiring lead times
  • Access to diverse skill sets across modern stacks
  • Enhanced operational flexibility

Nile Bits supports this broader value proposition. Their outsourcing services include end-to-end software development that can range from UX/UI design and custom engineering to DevOps and quality assurance.

For decision makers, outsourcing represents an opportunity to free internal staff to focus on core business strategy, reduce risk exposure in development, and consistently deliver strong product outcomes.


3. What Is Software Outsourcing and Why Nile Bits?

Software outsourcing means engaging an external partner to build, manage, or maintain software systems on your behalf. At its best, it allows you to:

  • Delegate technical complexity
  • Leverage external engineering expertise
  • Speed up product launch timelines
  • Lower operational risk

At Nile Bits, software outsourcing is delivered by a world-class team of technology professionals, offering custom development aligned to each client’s unique business objectives. Their approach combines methodological rigor with a collaborative mindset that mirrors in-house workflows.

Key Benefits of Outsourcing with Nile Bits:

  • Expert technical talent
  • Faster project delivery
  • Improved risk mitigation
  • Transparent workflows and reporting
  • Enhanced focus on core business priorities

For a deeper dive into common questions around outsourcing and client expectations, Nile Bits also maintains an informative resource on frequently asked outsourcing questions.


4. Staff Augmentation for Software Teams: Flexibility Without Compromise

One of the most powerful models for enterprise leaders today is IT staff augmentation. Unlike full outsourcing, staff augmentation allows you to bring external developers directly into your existing teams. These engineers work within your internal processes, participate in stand-ups, and report to your leadership, but they’re sourced and managed by Nile Bits.

According to Nile Bits’ service outline, this approach:

  • Helps quickly fill skill gaps
  • Allows teams to scale up or down as needed
  • Improves project resilience and team velocity

External research also reinforces that flexible staff augmentation can dramatically shorten hiring cycles, sometimes by as much as three-fold compared to traditional recruitment, and bring specialized skills on short notice.

For North American and EU companies, where hiring pools can be constrained and cost structures challenging, staff augmentation can deliver immediate productivity without the long lead times of permanent hires.

How Staff Augmentation Works in Practice:

  1. You identify required roles or skills.
  2. Nile Bits proposes vetted engineers.
  3. You interview and integrate selected talents into your teams.
  4. They work within your tools, process, and reporting rhythm.

This model is ideal for businesses needing short-term expansions, peak workload management, or niche technical expertise.


5. Dedicated Teams: Your Agile Remote Development Engine

For larger or ongoing initiatives, the dedicated team model offers a compelling alternative. With a dedicated team, Nile Bits provides a group of engineers and technical specialists who work exclusively on your projects long term.

Key characteristics of this model include:

  • Full team alignment with your roadmap
  • Continuous knowledge retention
  • Predictable delivery cadence
  • Deep project and domain expertise

Dedicated teams are best suited for companies with evolving products, long-term digital transformation agendas, or multiple interrelated software initiatives requiring stability and continuity.

Nile Bits builds dedicated teams that operate like an extension of your organization, with full participation in daily planning, sprint reviews, and communication channels.

Most importantly, the dedicated team model preserves oversight and control, with Nile Bits engineers reporting directly to your internal management, rather than siloed external units.


6. Choosing Between Outsourcing Models

Selecting the right engagement model depends on:

  • Project duration
  • Internal technical capability
  • Budget and cost flexibility
  • Need for speed versus control

Here’s a quick, high-level decision guide:

Business NeedBest Model
Rapid, flexible scalingStaff Augmentation
Long-term product developmentDedicated Teams
Full project ownership with expert deliverySoftware Outsourcing

Many enterprises find hybrid strategies most effective, beginning with augmentation to accelerate timelines and transitioning to dedicated teams for sustained delivery.


7. Cultural and Operational Fit for North America and EU Markets

One of the common concerns decision makers have about offshore partners is cultural alignment and effective communication. Nile Bits addresses these concerns directly:

  • English-proficient engineering teams
  • Overlapping time zones compatible with NA and EU work hours
  • Daily interactions and collaborative tools integrated with clients’ workflows

For technology leaders in North America and Europe, these factors remove barriers that often plague global teams, ensuring clear expectations, timely updates, and seamless participation in decision cycles.

This near-synchronous collaboration often yields outcomes indistinguishable from local teams in terms of responsiveness and execution speed.


8. Nile Bits’ Process and Standards

To deliver high-quality results consistently, Nile Bits follows a structured delivery process anchored in industry best practices:

  • Agile and Scrum development methodologies
  • Continuous quality assurance and testing
  • Secure development practices and data protection
  • Transparent reporting with milestone tracking
  • Routine performance reviews

These processes ensure that Nile Bits’ teams deliver value with predictability and confidence, reducing operational risk while driving strategic outcomes. (Nile Bits)


9. Case Examples: Real Outcomes, Real Growth

Across sectors from fintech to healthcare and e-commerce, Nile Bits has partnered with clients to drive measurable results.

Examples of impact include:

  • Accelerated MVP launch for a fintech platform
  • Telemedicine solution delivery with stringent compliance
  • Recommendation engine development for global e-commerce
  • Seamless integration with enterprise systems to modernize legacy architecture

Each case reflects how the right engagement model, whether augmentation, dedicated teams, or full outsourcing, can move business metrics forward.


10. How to Get Started with Nile Bits

Initiating a partnership with Nile Bits is straightforward:

  1. Discovery Call – Share your vision and challenges.
  2. Needs Assessment – Clarify the scope, skills required, and preferred engagement model.
  3. Proposal and Plan – Receive a tailored engagement strategy and cost estimate.
  4. Team Onboarding – Engineers integrate into your team, tooling, and process.
  5. Delivery and Growth – Ongoing development, feedback, and iteration.

Getting started with a partner should feel like adding strategic capacity, not overhead.


11. Conclusion: Choose Strategic Technology Partnership

For decision makers in North America and the EU, the imperative is clear: leverage global engineering teams to stay competitive, innovative, and responsive in a world where technology delivery pace determines market leadership.

Nile Bits has proven expertise in:

  • Software outsourcing at scale
  • Flexible staff augmentation
  • Dedicated remote engineering teams

Each of these models is designed not merely to extend development capacity, but to accelerate business outcomes with measurable impact.

If your organization is ready to unlock scalable tech talent and deliver resilient software solutions faster and more cost-effectively, it’s time to consider Nile Bits as your trusted partner.

Learn more about Nile Bits’ services on the official website: https://www.nilebits.com/ and explore related insights on their blog.

https://www.nilebits.com/blog/2025/12/software-teams-for-na-eu-businesses/

Thursday, December 11, 2025

Understanding JSON Web Tokens (JWT) for Secure Information Sharing

 

Understanding JSON Web Tokens (JWT) for Secure Information Sharing

https://www.nilebits.com/blog/2025/12/json-tokens-jwt/

Many businesses have used JSON Web Tokens (JWT) as their standard for authorization and authentication in order to overcome these constraints. JWTs provide a sophisticated, lightweight, and stateless method for securely exchanging data between trusted parties and verifying user identification.

This article offers a thorough and useful summary of how JWTs operate, the reasons why contemporary applications accept them, typical problems, and best practices. Both developers and architects will get a strong basis for incorporating JWTs into their own systems.

In modern distributed architectures, especially those built on microservices, serverless functions, and cloud-native platforms, one of the biggest challenges development teams face is how to authenticate and securely share information across systems without sacrificing performance or scalability. Traditional session-based authentication models often fall short, particularly when applications run across multiple servers or require stateless communication.


What Is a JSON Web Token (JWT)?

A JSON Web Token (JWT) is an open standard (RFC 7519) that defines a secure way to transmit information as a JSON object, digitally signed to verify integrity and sometimes encrypted for confidentiality.

A typical JWT is structured like this:

xxxxx.yyyyy.zzzzz

It contains three components:

  1. Header – identifies the algorithm and token type
  2. Payload – carries claims such as user ID or permissions
  3. Signature – validates that the token has not been tampered with

Because JWTs are stateless and self-contained, they are ideal for microservices and distributed systems where storing user session data on the server is inefficient.

Key JWT Advantages

  • Stateless (no server-side sessions needed)
  • Lightweight and fast
  • Works across domains and platforms
  • Used widely in OAuth2 and OpenID Connect
  • Easily transmitted through HTTP headers, cookies, or query parameters

JWT Structure Explained

1. Header

Example:

{
  "alg": "HS256",
  "typ": "JWT"
}

2. Payload (Claims)

The payload contains claims, which are statements about the user or system. These include:

  • Registered claims: iss, exp, sub
  • Public claims: custom shared claims
  • Private claims: app-specific claims

Example:

{
  "sub": "1234567890",
  "name": "John Doe",
  "role": "admin",
  "iat": 1712426734,
  "exp": 1712430334
}

3. Signature

The signature is generated using:

HMACSHA256(
    base64UrlEncode(header) + "." + base64UrlEncode(payload),
    secret
)

This ensures that if the token is modified in any way, verification fails.


How JWT Authentication Works

Here is a simplified lifecycle for JWT-based authentication:

  1. User logs in using their credentials.
  2. Server verifies the credentials.
  3. Server generates a JWT containing user claims.
  4. The client stores the JWT (commonly in localStorage or a secure HTTP-only cookie).
  5. For each request, the client sends the JWT in the Authorization header: Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6...
  6. Server verifies the signature and validates the token.
  7. Access is granted accordingly.

Because the server does not store any session data, this system easily scales horizontally.


Example: Generating JWT in Node.js

Below is a simple example using the jsonwebtoken library:

const jwt = require('jsonwebtoken');

const user = {
  id: "123",
  email: "john@example.com"
};

const secretKey = "MY_SUPER_SECRET_KEY";

const token = jwt.sign(
  { userId: user.id, email: user.email },
  secretKey,
  { expiresIn: "1h" }
);

console.log("Generated Token:", token);

Verifying the Token

try {
  const decoded = jwt.verify(token, secretKey);
  console.log("Decoded Token:", decoded);
} catch (err) {
  console.error("Invalid Token:", err.message);
}

Example: Using JWT in ASP.NET Core

Adding JWT Authentication

builder.Services
    .AddAuthentication("Bearer")
    .AddJwtBearer(options =>
    {
        options.TokenValidationParameters = new TokenValidationParameters
        {
            ValidateIssuer = false,
            ValidateAudience = false,
            ValidateLifetime = true,
            ValidateIssuerSigningKey = true,
            IssuerSigningKey = new SymmetricSecurityKey(
                Encoding.UTF8.GetBytes("MY_SUPER_SECRET_KEY"))
        };
    });

Generating a Token

var claims = new[]
{
    new Claim(JwtRegisteredClaimNames.Sub, user.Id),
    new Claim(JwtRegisteredClaimNames.Email, user.Email),
    new Claim("role", user.Role)
};

var key = new SymmetricSecurityKey(Encoding.UTF8.GetBytes("MY_SUPER_SECRET_KEY"));
var creds = new SigningCredentials(key, SecurityAlgorithms.HmacSha256);

var token = new JwtSecurityToken(
    issuer: "nilebits.com",
    audience: "nilebits.com",
    claims: claims,
    expires: DateTime.Now.AddHours(1),
    signingCredentials: creds);

return new JwtSecurityTokenHandler().WriteToken(token);

JWT vs. OAuth2 vs. Sessions

FeatureJWTOAuth2Server Sessions
StatelessYesYesNo
ScalabilityHighHighLow
Use casesAPIs, microservicesAuthorization delegationSimple web apps
Backend storage requiredNoMinimalYes

OAuth2 often uses JWTs internally, but they serve different purposes. JWT is a token format, while OAuth2 is an authorization protocol.


Common Security Risks and How to Prevent Them

While JWTs are powerful, they require correct implementation. Here are frequent pitfalls and solutions:

1. Using Weak Secrets

Always use strong keys when signing tokens.

Bad:

secret

Good:

fj39!3jf9203_jdf9-23Nd!jf93Fjei230f#df90df3

2. No Token Expiration

Tokens must expire.

{ "exp": 1712430334 }

3. Storing JWT in localStorage

This exposes the token to XSS attacks.

Best practice: Store JWT in secure, HTTP-only cookies.

4. Accepting “none” Algorithm

Never allow the token to specify alg: none. Most libraries now block this by default.

5. Not Validating Audience/Issuer

Always check the token’s intended scope.


Best Practices for Production

To securely deploy JWT-based authentication in production:

  1. Always use HTTPS
  2. Use strong signing keys or asymmetric RSA keys
  3. Implement short expiration times
  4. Use refresh tokens for long-term sessions
  5. Apply role-based access control (RBAC)
  6. Avoid storing sensitive data in the token
  7. Frequently rotate signing keys
  8. Use trusted libraries for token verification

External Resources and Further Reading


Final Thoughts

In distributed, cloud-native, and API-driven applications, JWTs are now essential for safe information exchange. They enable contemporary apps to function safely across platforms and settings by offering a scalable and effective substitute for conventional session-based authentication.

JWTs must be used carefully, though. Your system is readily vulnerable to attacks due to weak secrets, bad storage choices, or missing validation processes. JWTs are dependable and secure when used appropriately, with appropriate signature, validation, and rotation.


Elevate Your Security with Nile Bits

At Nile Bits, we architect and build secure, scalable, and high-performance software solutions for enterprises and startups around the world. Our engineering teams specialize in:

  • Authentication and identity management
  • API security and microservices
  • Cloud-native architecture
  • Custom web and mobile development
  • Staff augmentation and dedicated engineering teams

If you need expert support implementing JWT-based authentication, modernizing your application, or improving overall security posture, our engineers are ready to help.

Contact us today and let’s build something secure and exceptional together.

https://www.nilebits.com/blog/2025/12/json-tokens-jwt/

Monday, December 1, 2025

Webhooks vs. Polling

 

Webhooks vs. Polling


In today’s world of highly connected software, applications rarely operate in isolation. They constantly exchange data, react to events, and automate entire workflows without any manual input. Whether you are developing a SaaS platform, integrating with payment gateways, monitoring orders, syncing data across services, or building DevOps automation pipelines, you will inevitably encounter a major architectural question: should you use Webhooks or Polling?

Should you use polling or should you use webhooks?

This question is more than a mere preference. Scalability, cost, performance, dependability, and user experience are all impacted. Developers typically assume they have the answer until they come into production challenges. What appeared basic becomes a complicated conversation concerning rate restrictions, server load, real time behavior, latency tolerance, and architectural flexibility.

In this detailed, highly practical guide, we will take a deep look at:

  • What polling is
  • What webhooks are
  • When each technique is suitable
  • How different industries use them
  • Performance considerations
  • Security risks and protection strategies
  • Architectural tradeoffs
  • Cost implications
  • Real code examples in Node.js, Python, and C Sharp
  • How companies like GitHub, Stripe, Twilio and Slack handle them

By the end of this guide, you will not only understand the technical differences, but you will also be ready to design scalable systems using the right technique for your workload.

Let us start with the basics.


What is Polling?

Polling is one of the simplest patterns in software engineering. The idea is straightforward:
Your system repeatedly asks another system if something new has happened.

Think of polling as someone repeatedly calling a friend and asking:
"Is the package delivered yet?"

You call again.
No new update.
You call again in five minutes.
Still nothing.

This keep checking pattern is exactly how polling works in distributed systems.

How Polling Works

  1. Your application sends a request to a remote API.
  2. The API checks if something new has occurred.
  3. It returns the latest data or an empty response.
  4. Your app waits a few seconds.
  5. Repeat.

Example Scenarios

  • A mobile app checks for new messages every 10 seconds.
  • A cron job hits an API every minute looking for completed tasks.
  • A frontend continuously calls a backend endpoint to check a long running job.
  • An IoT device sends sensor data and also checks for configuration updates by polling the cloud.

Advantages of Polling

Polling is simple. Many junior developers start with polling because:

  • It is easy to implement.
  • It does not require special networking configurations.
  • It works even when external systems do not support callbacks.
  • It can be used in internal networks or tightly controlled systems.
  • It is predictable because you control the schedule.

Disadvantages of Polling

However, simplicity comes with costs:

  • Polling wastes bandwidth.
  • It increases API usage.
  • It increases cloud costs because the system keeps checking even when nothing changed.
  • It creates higher latency since you must wait for the next cycle.
  • It can overload your backend and cause throttling.
  • It does not scale well for real time experiences.

You will often hear developers say that polling is good for small systems but becomes expensive and slow at scale. This is mostly accurate, but not always. There are scenarios where polling is still the right choice, as we will see later.

Before that, let us look at real code.


Polling Code Examples

Polling Example in Node.js

const axios = require("axios");

async function pollStatus() {
  try {
    const response = await axios.get("https://api.example.com/status");
    console.log("Current status:", response.data);
  } catch (error) {
    console.error("Polling error:", error.message);
  }
}

setInterval(pollStatus, 5000);  // Poll every 5 seconds

This example hits the API every 5 seconds to fetch updates.


Polling Example in Python

import time
import requests

def poll_status():
    url = "https://api.example.com/status"
    try:
        response = requests.get(url)
        print("Status:", response.json())
    except Exception as e:
        print("Error:", e)

while True:
    poll_status()
    time.sleep(5)

Polling Example in C Sharp

using System;
using System.Net.Http;
using System.Threading.Tasks;

class Program
{
    static async Task PollAsync()
    {
        using var client = new HttpClient();
        while (true)
        {
            try
            {
                var response = await client.GetStringAsync("https://api.example.com/status");
                Console.WriteLine("Status: " + response);
            }
            catch (Exception ex)
            {
                Console.WriteLine("Polling error: " + ex.Message);
            }

            await Task.Delay(5000);
        }
    }

    static async Task Main()
    {
        await PollAsync();
    }
}

What Are Webhooks?

Webhooks are the complete opposite of polling. Instead of your system asking constantly for new information, the remote system notifies you automatically when something happens.

Think of webhooks as someone calling you when the package is delivered instead of you calling every few minutes.

How Webhooks Work

  1. Your application exposes an endpoint that accepts POST requests.
  2. You register this endpoint with an external service.
  3. When something happens, the external service sends a payload to your webhook URL.
  4. Your app processes the data and responds with a simple success message.

Webhook behavior is event driven. Instead of checking, the system pushes updates to you in real time.

Example Scenarios

  • Stripe notifies you when a payment is successful.
  • GitHub sends a push event when code is committed.
  • Slack notifies your bot when the user sends a message.
  • Twilio sends an incoming SMS event to your server.
  • A webhook triggers CI/CD pipelines based on repository changes.

Advantages of Webhooks

Webhooks offer several major benefits:

  • Real time updates.
  • Lower server load.
  • Lower cost because no repetitive API calls.
  • Better scalability.
  • Systems communicate only when necessary.
  • Works extremely well with event driven platforms.

Disadvantages of Webhooks

However, webhooks have their own challenges:

  • You need a publicly accessible endpoint to receive events.
  • Firewalls and corporate networks can block webhook calls.
  • If your server is down, you miss events unless retries are handled.
  • You must verify signatures to prevent unauthorized calls.
  • You need proper logging and monitoring.

Webhook Code Examples

Webhook Example in Node.js (Express)

const express = require("express");
const app = express();

app.use(express.json());

app.post("/webhook", (req, res) => {
  console.log("Webhook received:", req.body);
  res.status(200).send("OK");
});

app.listen(3000, () => console.log("Webhook server running"));

Run this with node app.js and expose it with a tool like Ngrok for testing:

ngrok http 3000

Webhook Example in Python (Flask)

from flask import Flask, request

app = Flask(__name__)

@app.route("/webhook", methods=["POST"])
def webhook():
    data = request.json
    print("Received data:", data)
    return "OK", 200

if __name__ == "__main__":
    app.run(port=3000)

Webhook Example in C Sharp (.NET)

using Microsoft.AspNetCore.Mvc;

[ApiController]
[Route("webhook")]
public class WebhookController : ControllerBase
{
    [HttpPost]
    public IActionResult Receive([FromBody] object payload)
    {
        Console.WriteLine("Webhook received: " + payload);
        return Ok("OK");
    }
}

Polling vs Webhooks: A Detailed Comparison

1. Real Time Behavior

Polling is not real time. You always have a delay based on your polling interval.

Webhooks are real time. The moment something happens, you receive a notification.

2. Server Load

Polling generates extra requests even when there is no new data.

Webhooks generate zero unnecessary traffic.

3. Scalability

Polling becomes expensive as your user base grows. Imagine checking 1 million accounts every 5 seconds.

Webhooks scale naturally because events are triggered only when needed.

4. Error Handling

Polling has predictable retry cycles.

Webhooks require more careful retry handling but most SaaS platforms already include intelligent retry logic.

5. Network Requirements

Polling works in most environments.

Webhooks require publicly accessible endpoints unless you use tunneling or queueing systems.


When to Choose Polling

Polling is a better fit in scenarios like:

  • Systems without webhook support.
  • Environments where inbound public traffic is not allowed.
  • Highly predictable controlled environments.
  • Quick prototypes where speed matters more than efficiency.
  • Low frequency processes like checking once per hour.

Example Industries Using Polling

  • Banking systems with tight firewall controls.
  • Internal corporate networks.
  • Legacy systems that cannot push events.
  • IoT devices using scheduled reporting.

When to Choose Webhooks

Use webhooks when:

  • You want real time behavior.
  • You want to reduce API calls.
  • You want efficient, scalable event delivery.
  • You integrate with modern SaaS platforms.
  • Your platform handles large numbers of independent events.

Industries Using Webhooks

  • Fintech (Stripe, PayPal, Wise).
  • Communication platforms (Twilio, Slack, Zoom).
  • Cloud DevOps (GitHub, GitLab, Bitbucket).
  • E commerce and logistics systems.

Security for Webhooks and Polling

Polling Security

  • Use API keys or OAuth tokens.
  • Use request signing if supported.
  • Implement rate limiting.
  • Use SSL only.

Webhook Security

Security is more critical for webhooks because your endpoint is public.

  • Validate signatures.
  • Validate source IP.
  • Use SSL certificates.
  • Store logs of all events.
  • Retry processing safely with idempotent logic.
  • Implement authentication tokens in headers.

Webhook signature validation example (Node.js):

const crypto = require("crypto");

function verifySignature(payload, headerSignature, secret) {
  const expected = crypto
    .createHmac("sha256", secret)
    .update(payload)
    .digest("hex");

  return expected === headerSignature;
}

Performance and Cost Comparison

Polling Cost Example

Imagine polling every 10 seconds:

  • 6 calls per minute
  • 360 calls per hour
  • 8640 calls per day
  • 259200 calls per month per user

If you have 10000 users, that becomes 2.5 billion API calls per month.

Cloud APIs are not free. That becomes incredibly expensive.

Webhook Cost Example

Webhook sends events only when needed.

If a typical user triggers 100 events per month, that is only 100 webhook calls per user.

10 thousand users = 1 million requests per month.

Massive cost savings.


Real Production Examples

Stripe Webhooks

Stripe uses webhooks heavily for:

  • Payment succeeded
  • Subscription renewed
  • Fraud alerts
  • Charging disputes

Documentation:
https://stripe.com/docs/webhooks

GitHub Webhooks

GitHub sends events for:

  • Push
  • Pull requests
  • Releases
  • Issues

Documentation:
https://docs.github.com/en/webhooks

Slack Webhooks

Slack provides incoming and outgoing webhook architecture.
Documentation:
https://api.slack.com/messaging/webhooks


Hybrid Approach: Polling With Webhooks

Engineering is not always binary. Many systems combine both techniques.

Example Hybrid Architecture

  • Use webhooks for real time events.
  • Use periodic polling as a backup to detect missed events.
  • Use a queue like RabbitMQ or Kafka to process events reliably.

This hybrid approach gives you:

  • Real time performance.
  • Guaranteed consistency.
  • Resilience against webhook failures.

When Polling is Better Than Webhooks

There are cases where polling is genuinely better:

  • When you want to control when you hit the API.
  • When you run heavy data synchronization.
  • When events are rare and not worth maintaining a webhook endpoint.
  • When working with air gapped or offline systems.
  • When the server cannot accept incoming connections.

When Webhooks Are Better Than Polling

  • When you need instant notifications.
  • When API call costs matter.
  • When workloads scale significantly.
  • When integrating with modern SaaS ecosystems.
  • When mobile apps need up to date information quickly.

Building a Webhook System: Step By Step

Let us walk through how you would build a webhook system in your own application.

Step 1: Create a Webhook Subscription Page

Your users enter the callback URL.

Step 2: Store the callback securely.

Database record example:

id | user_id | callback_url | secret_key | created_at

Step 3: Fire events on trigger.

Step 4: Send a POST request with retry logic.

Step 5: Validate response codes.

Step 6: Log all webhook deliveries for monitoring.

Step 7: Build a dashboard showing success and failures.


Common Mistakes Developers Make

Polling Mistakes

  • Polling too frequently.
  • Not respecting rate limits.
  • Saving API responses without deduplication.
  • Blocking requests on slow polling cycles.

Webhook Mistakes

  • Not verifying signatures.
  • Not implementing retry logic.
  • Not building idempotent endpoints.
  • Not logging payloads.
  • Not monitoring webhook failures.

Conclusion: Polling vs Webhooks

There is no universally perfect option. The right solution depends on:

  • Real time needs
  • Scalability
  • Security requirements
  • Infrastructure complexity
  • Cost constraints

As a rule of thumb:

  • If you need real time updates, use webhooks.
  • If you need simplicity, use polling.
  • If you need reliability at large scale, combine both.

Need Help Implementing Polling or Webhooks? Nile Bits Can Help

At Nile Bits, we build modern, scalable, reliable backend systems for companies around the world. Whether you need a simple polling integration or a complete enterprise grade webhook architecture, our engineering team can help you with:

  • Designing secure webhook endpoints
  • Implementing event driven architectures
  • Integrating with Stripe, GitHub, Slack, Twilio and many other APIs
  • Building reliable retry systems and message queues
  • Reducing API costs and optimizing performance
  • Developing Python, Node.js, Go, .NET or Java backend services
  • Full stack development
  • DevOps automation
  • Cloud infrastructure engineering

We support businesses with dedicated senior engineers, long term development partnerships, and full custom software solutions.

If you want professional help with your product, API integrations, or backend system design, reach out to Nile Bits and let our experts build something stable and production ready for you.