
10 Popular API Practices That Do More Harm Than Good
A lot of best practices are just common mistakes that look good. Here’s how to spot them early.
158 stories · Latest Oct 4, 2026
I'm Vinod, a senior developer writing about APIs, databases, architecture and clean code, and the popular practices that quietly do more harm than good.

A lot of best practices are just common mistakes that look good. Here’s how to spot them early.

If you blindly follow any of them, your system might struggle later

Practical tips for designing a database schema without painful rewrites

These were good security practices 10 years ago. Attackers evolved. Our code did not.

The decisions I make before writing a single line of API code

Write fewer unit tests. Just make sure the ones you keep mean something.

Why AI-written features become tech debt faster than the code you write yourself

What I stopped doing after years of cleaning up production databases

Your code reviewers are not lazy. You are handing them more than anyone can hold in their head.

The rules that survived ten years of reviews, rewrites, and code I had to fix myself

A new AI feature lands on your roadmap. Someone asks the obvious question. Build it or buy it? The answer feels simple.

What I learned after building many AI agents that confidently gave wrong answers

From someone who has taken more than a hundred technical interviews, here’s what I found

The exact system I use to start pushing and releasing code in 2 weeks, while most new hires take 2 months.

The habits that keep your code alive and your weekends free.

You have heard these concepts a hundred times. Here is what they actually mean.

You don’t need AI agents for everything. Stop wasting your time and money on them.

The argument sounds strong. It falls apart the moment you ship to production.

You hire a senior developer. The offer letter shows a salary. Add benefits, and you feel like you know the cost. You don't.

40-60% of enterprise RAG implementations fail to reach production.

The code was never the hard part. The judgment around it is.

We told 10 developers to ship a real client project with AI only. Here is what broke, what held up, and what we kept.

Perfect code from a confused brain still ships a broken system.

Spot them early. Fix them now. Save yourself a rewrite later.

Eight years of microservices changed my default. Here’s what I learned.

Your engineering team is twice the size it was two years ago. The roadmap is longer. The planning is more structured. And yet features take longer to ship than they did when the team was smaller.

Nobody cared about his side project either. He built it in 2 months, got calls from Sam Altman and Zuckerberg, and the offers hit billions.

How I catch real bugs before code review, without fancy tools or extra time.

The patterns I keep catching in AI-generated code, how to spot them, and how to stop them

The hidden talent network strategy most developers overlook

A plain-English guide to the concepts behind every AI agent

Turns out, replacing developers is harder than tweeting about it.

Most engineering leaders face the same pressure: the C-suite wants AI. Developers want AI. But nobody can agree on what success looks like when using AI tools.

These mistakes cost me painful lessons. But they built my judgment and changed how I think, design, and ship

Some bugs only exist when no one is watching. Here is how to catch them.

A simple checklist I use before accepting the code written by AI

My exact step-by-step process that creates prototypes in days, not months.

What decades of maintaining real systems taught me about clean code
Your database was fine yesterday. Today, page loads crawl, alerts are firing, and someone says, “Should we scale the database?” That question usually comes months too late.

What I have learnt after reviewing more than 100+ architectures.

Timeless skills for developers who refuse to become obsolete

14 tested ways to cut AI costs by 80% without losing quality

Instead, design systems that fit your team, your scale, and your constraints.

Remembering the platform that raised a generation of engineers
In real projects, some features don’t stay within a single part of the code. They appear in many places across the system.

Tips for designing simpler yet effective architectures

How I replaced $2,000–$5,000/month SaaS bills with self-hosted open source tools

Why AI agents were hard to build, and how MCP changed that
The promise of serverless computing is compelling: write code, deploy it, and pay only for what you use. No servers to manage, automatic scaling, and theoretically lower costs.

Are you ready for the challenge?

Learn the painful Git lessons I wish someone had warned me about

The gap between juniors and seniors is often just one well-shaped question

Prompt coding is taking over fast, and it’s just as dangerous as vibe coding, maybe worse.

What 8 months, 40+ job boards, and 400+ applications taught me about finding real remote work.
When your company buys another business, you also take over their code. That code usually comes with years of quick fixes and hidden problems.

The hard lessons I learned after chasing every “productivity hack” in tech.

What I learned about trust while building software in a remote setup

Why every great system design is a set of smart compromises and how to make them wisely.

How I cut down my onboarding time from days to hours with a repeatable way to understand any codebase

Because not every bug breaks production, some silently break your architecture.

Stop blindly approving senior PRs. Here’s how to review with confidence and zero imposter syndrome.
Every tech lead eventually faces the same question: Should you build this yourself, or should you buy it?

Tips for better project estimation

Spoiler: It’s reading error messages…slowly.

What I keep seeing in audits, code reviews, and real-world breaches

The uncomfortable truth about developers who never level up.

The engineering challenges we faced and lessons learned along the way.

Tips to have better communication with non-tech folks

The microservice migration guide I wish I had before starting.
Choosing between the new tech stack and sticking to the old one is one of the most challenging situations in software development.

These mistakes cost me time, trust, and tech debt. Let me help you dodge them.

It looks like coding. It feels like progress. It’s neither.

Real signs I’ve seen, mistakes I’ve made, and what I do differently now

Tips to drive impactful technical conversations

The shortcut I use to learn new tech before everyone else
You just shipped a big feature. Marketing's thrilled. Users love it. But under the hood, your team hacked together three workarounds, skipped writing tests, and swore to "clean it up later."

Spot the red flags, fix what you can, and know when to walk away

How I stay ahead as a developer — without coding extra hours
Scrum is just corporate micromanagement dressed up as agile.

You’re not lazy. You’re exhausted. There’s a difference.

Clarity > Cleverness — Always.
You can’t fake experience with a certificate, no matter how shiny it looks on LinkedIn.

How I turned remote work from a struggle into a superpower as a developer

How Losing Sight of the Bigger Picture Helped Me See What Really Matters

Mentorship Is Not As Easy As It Sounds — Here’s How I Make It Work

Here’s How I Fixed Them and Boosted My Career

The unspoken truths about leading engineers, juggling expectations, and finding your voice

The Surprising Benefits of Doing Less to Achieve More in Programming

The 3x Faster Learning Strategy That Saved Me Hundreds of Hours (No Genius Required)
Tips to make better architectural decisions

How a 19th-century poet, a moth in a relay, and the Space Race created the apps you use today.
Tips for improving as a developer
My strategies & tips for better pair programming
Tips to conduct better technical interviews
Tips to write meaningful unit tests
Tips to deal with tech debt
Learn these before your next interview
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