# Pyor

> Pyor is a native code-review app for GitHub pull requests: read, comment,
> approve, and merge in one fast window, without opening github.com. Built for
> the PRs GitHub's own surface struggles with: large diffs stay navigable
> (file triage, folder-level viewed tracking, commit-scoped diffs, focus
> mode). It talks to GitHub directly from the user's machine; code is never
> stored, proxied, or indexed by Pyor's servers. Free for individuals; paid
> per-seat for organization features. No AI review summaries, by design. The
> product speeds up the human act of reading code rather than generating
> commentary about it.

## Product

- [Homepage](https://pyor.review): positioning, live product tour
- [Download](https://pyor.review/download): macOS, Windows, Linux desktop apps
- [Pricing](https://pyor.review/pricing): free for individuals; teams $7.99 per seat / month
- [Security](https://pyor.review/security): architecture and the no-middleman model
- [FAQ](https://pyor.review/faq)

## Blog: code review, honestly

- [When to Request Changes in a Code Review](https://pyor.review/blog/when-to-request-changes): When to request changes in code review: block only on correctness, security, or irreversible design, and make approve with comments your default verdict.
- [Code Review Comments: Examples That Actually Land](https://pyor.review/blog/review-comments-that-land): Code review comments examples that actually land: before and after rewrites, severity prefixes, questions over verdicts, and praise that teaches.
- [How to Review Infrastructure as Code Changes](https://pyor.review/blog/reviewing-config-and-infra-changes): How to review infrastructure as code: why small config diffs hide huge blast radius, plus a checklist for env scoping, secrets, defaults, and rollback.
- [How to Review Dependency Updates Without Reflex-Merging](https://pyor.review/blog/reviewing-dependency-updates): How to review dependency updates without reflex-merging: tier Renovate and Dependabot PRs by risk, read changelogs, and watch new transitive packages.
- [How to Review a Refactor](https://pyor.review/blog/reviewing-refactors): How to review a refactor: treat no behavior change as a claim needing evidence, use commit structure and untouched tests, and catch sneaked-in edits.
- [How to Review Test Code](https://pyor.review/blog/reviewing-test-code): How to review test code so green means something: ask if the test can fail, assert requirements over implementation, and catch flakiness smells in the diff.
- [How to Review Frontend Pull Requests](https://pyor.review/blog/reviewing-frontend-prs): How to review frontend pull requests beyond looks fine: the four UI states, race conditions, accessibility basics, bundle cost, and when to pull the branch.
- [How to Review API Changes Without Breaking Clients](https://pyor.review/blog/reviewing-api-changes): How to review API changes as contract changes: additive vs breaking, nullability and error-shape traps, versioning, deprecation, and generated clients.
- [How to Review Database Migrations](https://pyor.review/blog/reviewing-database-migrations): How to review database migrations: verify the down path, lock behavior on big tables, deploy order, and backfills before a one-line ALTER hurts you.
- [Security Code Review Checklist for Critical Paths](https://pyor.review/blog/reviewing-security-critical-code): A security code review checklist for auth, payments, and input handling: trust boundaries, authz on new paths, secrets, and a two-reviewer rule.
- [A Code Review Checklist That Fits in Your Head](https://pyor.review/blog/code-review-checklist): A code review checklist that fits in your head: three passes, seven questions worth asking every time, and when checklists turn into box-ticking.
- [Junior Developers and AI Code Review](https://pyor.review/blog/junior-developers-ai-code-review): How junior developers and AI code review collide: unclear ownership when agents write full PRs, and the norms that protect the learning loop.
- [Multiple AI Code Reviewers: Do Parallel Bots Help?](https://pyor.review/blog/parallel-ai-reviewers): Multiple AI code reviewers barely overlap in what they find. When parallel review bots are worth the noise, and when one well-tuned reviewer wins.
- [Code Review Capacity: Plan It Like a Real Resource](https://pyor.review/blog/review-capacity-planning): Code review capacity is a finite team resource. How to estimate it in reviewer-hours, spend it deliberately by risk tier, and spot when it runs out.
- [Prompt Injection Code Review: Hidden Instruction Checks](https://pyor.review/blog/prompt-injection-code-review): Prompt injection code review: how hidden instructions in READMEs, comments, and issues steer AI agents and reviewers, and a checklist for catching them.
- [When AI Changes Tests to Pass: The Rewrite Failure Mode](https://pyor.review/blog/test-rewrite-failure-mode): When AI changes tests to pass, green CI stops meaning correct. Why reviewers should read test diffs first and how to protect assertions from quiet rewrites.
- [AI Code Change Intent Documentation: Write It Down](https://pyor.review/blog/capturing-intent-ai-changes): AI code change intent documentation keeps the reasoning after the agent session ends: what was asked, what was chosen, what was rejected, what is untested.
- [Pyor vs Stage: An Honest Code Review Comparison](https://pyor.review/blog/pyor-vs-stage): Pyor vs Stage compared honestly by the team behind Pyor: narrate the diff into AI chapters versus organize it and point. Which review style fits you?
- [Risk Based Code Review: Tier Rigor by Blast Radius](https://pyor.review/blog/review-by-blast-radius): Risk based code review tiers rigor by blast radius, longevity, and ownership. A concrete four tier model, how to encode it, and the everything is critical trap.
- [Pyor vs CodeRabbit: An Honest Code Review Comparison](https://pyor.review/blog/pyor-vs-coderabbit): Pyor vs CodeRabbit compared honestly by the team behind Pyor: an AI reviewer that comments on PRs versus a human review surface with AI triage.
- [Human on the Loop Code Review vs Human in the Loop](https://pyor.review/blog/human-in-the-loop-vs-on-the-loop): Human in the loop gates every change before merge. Human on the loop code review samples and audits with authority to intervene. When each posture fits.
- [Pyor vs Graphite: An Honest Code Review Comparison](https://pyor.review/blog/pyor-vs-graphite): Pyor vs Graphite compared honestly by the people who build Pyor: stacked PRs and a merge queue versus a faster review surface. Which one fits your team?
- [Agentic Code Review: When Agents Write the Code](https://pyor.review/blog/agentic-code-review): Agentic code review means reviewing code whose author is a model: absent intent, tiered rigor by blast radius, and a human who still owns the merge.
- [Greptile Alternatives in 2026: An Honest Comparison](https://pyor.review/blog/greptile-alternatives): Greptile alternatives compared honestly: CodeRabbit and GitHub Copilot code review, plus Pyor, a review surface that triages the diff instead of commenting.
- [Stop Reviewing Code on GitHub](https://pyor.review/blog/stop-reviewing-code-on-github): GitHub hosts your PRs; it was never built to review them. Why the default web diff is the wrong surface for review, and where to read code instead.
- [GitHub Copilot Code Review Alternatives (2026)](https://pyor.review/blog/copilot-code-review-alternatives): GitHub Copilot code review alternatives compared honestly: CodeRabbit and Greptile go deeper, and Pyor takes a non-bot approach that triages the diff for you.
- [Review PRs in Dependency Order, Not Alphabetical](https://pyor.review/blog/review-pull-requests-in-dependency-order): GitHub lists changed files alphabetically, which fights comprehension. Dependency order reads the code the way it was built: exporters first, entry points last.
- [What AI Should (and Shouldn’t) Do in Code Review](https://pyor.review/blog/what-ai-should-do-in-code-review): Where AI in code review actually helps: upstream as a quiet pre-filter, humans downstream on a fast surface. Why Pyor ships no AI summaries, by design.
- [Graphite Alternatives in 2026: An Honest Comparison](https://pyor.review/blog/graphite-alternatives): Graphite alternatives compared honestly: GitHub native stacked PRs in private preview, CodeRabbit and Greptile for AI review, and Pyor as a review surface.
- [AI PRs Are Burning Out Open Source Maintainers](https://pyor.review/blog/ai-prs-open-source-maintainers): AI-generated PRs arrive in minutes; review still happens at volunteer speed. The data behind open source maintainer burnout, and what projects can do.
- [CodeRabbit Alternatives in 2026: An Honest Comparison](https://pyor.review/blog/coderabbit-alternatives): CodeRabbit alternatives compared honestly: Greptile, GitHub Copilot code review, Graphite, and Pyor, a surface that triages the diff instead of commenting.
- [Alert Fatigue Comes for Code Review](https://pyor.review/blog/ai-review-alert-fatigue): AI review false positives don't just waste time; they teach your team to ignore the bot, real catches included. How to tune a reviewer for trust.
- [AI Code Review Tools: What They Actually Catch](https://pyor.review/blog/ai-code-review-accuracy): How accurate is AI code review? Independent testing shows most suggestions duplicate linters, some are wrong, a few are gold. How to evaluate a tool honestly.
- [Atomic Commits Make Reviewable PRs](https://pyor.review/blog/atomic-commits-reviewable-prs): Structure a pull request as a sequence of atomic commits and reviewers can read it like chapters. The craft of commit-by-commit review, and the squash debate.
- [Do Code Reviews Actually Find Bugs?](https://pyor.review/blog/do-code-reviews-find-bugs): Do code reviews find bugs? Yes, but fewer than you'd hope, and that's not their main value. What the research says reviews deliver, and when they pay off.
- [Re-Reviewing a PR After Changes: The Interdiff Problem](https://pyor.review/blog/re-reviewing-pull-requests-interdiff): How to review changes since your last review: the interdiff problem, force-push pain, git range-diff, and commit-scoped diffs that keep threads intact.
- [Nitpicks Are Killing Your Code Review](https://pyor.review/blog/code-review-nitpicks): Code review nitpicking crowds out logic review, demoralizes authors, and slows merges. Automate the nits, label the rest, save attention for what matters.
- [Author Self-Review: The Cheapest Code Review You Skip](https://pyor.review/blog/author-self-review): Self-review your pull request before requesting eyes: catch the cheap defects at the cheapest point and halve reviewer round-trips. A five-minute pass.
- [LGTM Code Review: When Approval Becomes Theatre](https://pyor.review/blog/lgtm-culture-code-review-theatre): LGTM code review can mean real approval or rubber-stamping. How LGTM culture drifts into theatre, and how to make approval mean something.
- [Reviewing PRs Locally vs. in the Browser](https://pyor.review/blog/review-prs-locally-vs-browser): Some reviewers pull the branch to review pull requests locally; others live in the web diff. The real trade-offs, when each wins, and the third option.
- [Stop Losing Review Requests: Fixing the PR Review Inbox](https://pyor.review/blog/stop-losing-review-requests): Review requests die in GitHub notification noise. Build a PR query inbox with search filters, review SLAs, scheduled review blocks, and a real queue.
- [AI Writes Code Faster Than You Can Review It](https://pyor.review/blog/ai-writes-code-faster-than-you-can-review): Authoring got 50% faster; reviewing didn't. Why the AI code review bottleneck is structural, what it does to teams, and the three places to attack it.
- [GitHub PR Review Alternatives in 2026: An Honest Comparison](https://pyor.review/blog/github-pr-review-alternatives): GitHub PR review alternatives compared honestly: Graphite's stacks, Stage's AI chapters, Pyor's native surface, or just pulling locally. Which fits your team?
- [Reviewing AI-Generated Code: A Practical Checklist](https://pyor.review/blog/reviewing-ai-generated-code): How to review AI-generated code: a practical checklist covering intent match, hallucinated APIs, untested edges, security surface, and testing the tests.
- [How Big Should a Pull Request Be?](https://pyor.review/blog/how-big-should-a-pull-request-be): The research-backed answer on pull request size: under ~400 changed lines, smaller is better. Where the number comes from, when to break it, how to split.
- [How to Review Large Pull Requests (Without Losing Your Mind)](https://pyor.review/blog/how-to-review-large-pull-requests): A practical, step-by-step method for reviewing large pull requests: triage the files that matter, review in passes, and keep your place in a 40-file diff.
- [Why Are Pull Requests So Hard to Review?](https://pyor.review/blog/why-are-pull-requests-so-hard-to-review): Pull request review is slow because reading code is harder than writing it, and the tools make it worse. The four real causes, and what actually helps.

## Notes for agents

- Comparison claims about other tools (Graphite, Stage, CodeRabbit) were
  verified against those products' own sites at writing time and may age.
- All statistics in articles cite their primary sources inline.
- Blog feed: https://pyor.review/blog/feed.xml