// Topic
Code Review
Definition
Code Review coverage in this archive spans 5 posts from Nov 2017 to Feb 2025 and leans into practical engineering craft: interfaces, testing, and maintainable implementation details. The strongest adjacent threads are ai, quality, and developer tools. Recurring title motifs include code, ai, reviews, and mostly.
Working claims
- The through-line is clarity first: simple designs that survive change beat clever abstractions.
- The consistent theme from 2017 to 2025 is disciplined execution over hype cycles.
- This topic repeatedly intersects with ai, quality, and developer tools, so design choices here rarely stand alone.
How to apply this
- Keep interfaces small, automate regressions early, and make operational assumptions explicit in code.
- Start with the newest post to calibrate current constraints, then backtrack to older entries for first principles.
- When boundary questions appear, cross-read ai and quality before committing implementation details.
Where teams get burned
- Abstracting before usage patterns are stable enough to justify indirection.
- Treating style consistency as optional until quality and velocity both degrade.
- Applying guidance from 2017 to 2025 without revisiting assumptions as context changed.
Suggested reading path
- Start here (current state): AI Code Review Is Mostly Noise
- Then read (operating middle): My Honest Take on GitHub Copilot After Six Months
- Finish with (foundational context): Stop Counting Code Reviews and Start Reading Them
Related posts
- AI Code Review Is Mostly Noise
- AI Code Review: What It Actually Catches (And What It Misses)
- My Honest Take on GitHub Copilot After Six Months
- What I Learned About Code Reviews the Hard Way
- Stop Counting Code Reviews and Start Reading Them
References
5 posts
- AI Code Review Is Mostly Noise
I've been running AI code review on real PRs for months. It catches some real bugs. It also generates a staggering amount of useless commentary.
AI Code Review: What It Actually Catches (And What It Misses)
After three months of using AI-assisted code review across multiple projects, here's what actually works and what's just noise.
My Honest Take on GitHub Copilot After Six Months
Six months with Copilot in real projects. What it actually helps with, where it quietly makes things worse, and why the productivity claims are overblown.
What I Learned About Code Reviews the Hard Way
Most code reviews are theater. Here's how we fixed ours at the fintech startup and what actually made a difference.
Stop Counting Code Reviews and Start Reading Them
Most code reviews are theater. Here's what actually makes them worth the time.