AI Agents Are the Most Expensive Junior Devs You'll Ever Hire
The same over-engineering reflex that costs a team two days of junior time now costs you an hour of agent output, multiplied across every PR. The tax rate did not change. The volume did.
Boring Over Clever: Why Simple Code Wins at 3am
Clever code impresses in code review. Boring code survives production. Here's why the most experienced developers write the most unexciting code, and why you should too.
Stop Building What Already Exists: The Lazy Dev Mindset
Every junior dev I've met tries to build what already exists. Here's how the "laziest solution that works" mindset, backed by real code, makes you a better developer, faster.
Git Hotfix in Production: The GitHub Flow Emergency Playbook
It's Friday 5pm. Production is broken. Your feature branch is half done. Here's exactly what to do, and what NOT to do, using GitHub Flow.
Git PR Workflow & Code Review: How to Get Your PRs Reviewed Fast
A PR titled 'changes' gets ignored. Learn how to write pull requests that get reviewed fast and how to respond to feedback like a professional.
Why Your Multi-Agent Workflow Keeps Colliding
Two agents in two threads share the filesystem but not context. They make decisions based on stale state. The fix is one fresh agent per task with isolated context.
The Discipline Stack That Makes Agent Output Trustworthy
The reliability problem is not the model. It is the missing disciplines around the model. Brainstorm before code. Plan before implement. Test before pass. Verify before claim. Review before merge.
Why Your Agent Forgets Step 5 by Step 12
A ten-task plan drifts by task four. The model is not forgetful. The plan is too coarse. Tasks that look discrete to you blur together in execution. Smaller tasks with sharper edges fix it.
The One Rule That Stops Agents from Inventing Tests
An agent writes code, then writes a test for it. The test passes immediately. It proves nothing. The fix is one iron law: no production code without a failing test first.
Why Your Agent's First Fix Attempt Is Usually Wrong
An agent hits a bug, guesses a fix, reports done. Two hours later the same bug reappears because the first fix treated a symptom. Random fixes add bugs. The fix is the iron law: no fixes without root cause.
Why Your AI Agent Says "Done" When the Work Isn't
The most expensive bug in AI-assisted engineering is not the agent writing bad code. It is the agent writing code, claiming it works, and you trusting the claim without checking.
