#Code Review

Articles about Code Review — exploring patterns, best practices, and real-world implementations in production systems.

8 posts tagged with code review. ← All posts

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Pratik Dhanave · ·14 min read

AI-Assisted Code Review

The series finale — where LLM reviewers genuinely help on every pull request, where they quietly fail, and how to build a human-plus-AI workflow that speeds review up without letting judgment or accountability leak away.

The capstone: using AI/LLM reviewers well and where humans stay essential — AI as a tireless first pass that clears the noise, its limits (design judgment, contextual security, accountability, hallucinations), and a healthy human+AI division of labor.

Pratik Dhanave · ·14 min read

Code Review at Scale

How to run code review across a whole team or organization without turning it into a bottleneck: treat review latency as a first-class metric, distribute the load, let automation handle the toil, and measure the things that actually predict quality.

Making review work across a team without becoming a bottleneck: review velocity as a first-class metric, ownership and routing (CODEOWNERS), automating toil so humans do judgment, healthy SLAs, and measuring the right things.

Pratik Dhanave · ·17 min read

Security and Performance Review

The two specialist lenses a reviewer switches on for a diff — thinking like an attacker to catch the injection and the missing authorization check, and thinking like production to catch the N+1 query — while knowing exactly where the human eye stops and a scanner, profiler, or load test has to take over.

The specialist lenses: security review (untrusted input to a sink, missing authz/BOLA, secrets, SSRF, new dependencies) and performance review (N+1 queries, unbounded queries, missing indexes) — flag the smells, defer depth to scanners and profilers.

Pratik Dhanave · ·13 min read

The Author's Craft: Making Code Easy to Review

Half of review quality is decided before the reviewer ever opens the diff — by the author. Small focused PRs, a description that states what and why, a self-review pass, and clean commits are how you optimize the one resource a review really spends: the reviewer's attention.

Half of review quality is set before the reviewer arrives: small focused PRs, splitting big changes, great descriptions (what/why/how-to-test), self-review first, and keeping refactor noise out of behavior changes.

Pratik Dhanave · ·11 min read

Receiving Feedback Well

The author's side of code review — turning a pull request from an ego threat into a growth loop by separating your identity from your code, responding to every comment, and pushing back with reasoning instead of feelings.

The author's side: separating your identity from your code, assuming good intent, responding to every comment, pushing back with reasoning (not ego), and turning review into a growth loop instead of an ego threat.

Pratik Dhanave · ·13 min read

Giving Feedback That Lands

How to write code-review comments that improve the code and the relationship at the same time — commenting on the code not the coder, labeling severity so the author knows what blocks, asking instead of decreeing, teaching the why, and knowing when a thread belongs on a call.

Writing review comments that improve the code and the relationship: comment on the code not the coder, be specific and actionable, label severity (nit/suggestion/blocking), ask questions when you lack context, and pick your battles.

Pratik Dhanave · ·14 min read

What to Look For in a Code Review

A reviewer's mental checklist ordered by leverage — design first, then correctness, then tests, then readability, with style and formatting handed off to the tools that were built for it.

A reviewer's checklist ordered by leverage: design first, then correctness and edge cases, then tests, then readability — and what to leave entirely to tools (formatting, lint) so human attention goes where it matters.

Pratik Dhanave · ·11 min read

Why Code Review

The first post in a practical series on code review — what the practice is actually for, what it is not, and why treating it as a collaboration rather than a gate is what makes it worth the time it costs.

The opener to a code-review series: what review is actually for — catching defects early, better design, knowledge sharing, collective ownership — and what it isn't (gatekeeping, style bikeshedding), plus the healthy team norms that make it work.

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.