Short, specific posts — not thought-leadership filler. If a post makes a claim about a competitor, it's dated and sourced the same way our own comparison table is.
bugweg scans each PR it reviews for hardcoded credentials, including docs-only diffs that skip AI review. See what the scan matches, what a finding shows, and what to do when a key leaks.
Read the post →Repo-wide coverage percentages don't tell you if the risky line you just changed is exercised. bugweg flags the changed functions whose added lines never run and runs a suggested test.
Read the post →When a PR changes a function's signature, bugweg finds its call sites and marks each one safe, at-risk or breaking before merge. Here is how it works.
Read the post →How bugweg's Recurrence Firewall and Production Lock keep fixed bugs from coming back, and why a human still merges every fix.
Read the post →bugweg checks whether an implementation actually does what its own docstrings and type signatures claim — not just whether it matches known bug patterns.
Read the post →User Impact Score is bugweg's triage signal for which PRs to read first. Here's what it does today, and what it doesn't yet.
Read the post →Developer Bug DNA tracks a developer's recurring mistake patterns so review comments get more specific over time. Here's what that means in practice.
Read the post →Most reviewers forget a bug the moment its PR merges. Bug genealogy tracks it as one record: introduced, fixed, reintroduced, locked.
Read the post →CodeRabbit is the most-installed AI code review app on GitHub, with broad multi-platform coverage and one-click setup. Bugweg takes a narrower path: remember every bug this repo has ever had, and lock the fixed ones out for good. Here's where that difference actually shows up.
Read the comparison →Greptile builds a full graph index of your repo and reviews every PR with a swarm of agents. Bugweg takes a narrower, cheaper path: read only the diff, and remember every bug that path has ever produced. Here's where that difference actually shows up — and where it doesn't.
Read the comparison →Your team already fixed this bug. Probably twice. The reason it keeps coming back isn't carelessness — it's that nothing in your review process remembers the first fix long enough to stop the third one.
Read the post →Change velocity, complexity delta, and defect density, combined into one per-file score that updates after every commit. Not "is this diff okay" — "which part of this repo is about to break, and why."
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