Articles
Insights on AI QA
Making AI code review, test generation, and bug triage actually work — without the noise.
QualityGraph — cross-repository QA intelligence for engineering teams
QualityGraph is a QA intelligence platform that sits on top of GitHub and Codecov to answer one question — how healthy is testing across all your projects, and where should QA focus next?
2026-08-31
AI test generation that doesn't break the build — where generated tests help and where they hurt
AI can generate tests, but pointed at the wrong place it floods your suite with brittle, low-value tests that break CI and erode trust. Here's where AI-generated tests actually help, where they hurt, and how to adopt them without the mess.
2026-08-25
Code review is the new bottleneck — when AI writes the code, who reviews it?
AI coding assistants raised how fast code gets written, but review didn't scale with it. Review is now the constraint on shipping quality — here's why the bottleneck moved, and what to do about it.
2026-08-25
CodeRabbit vs Qodo — an integrator's honest comparison (2026)
A vendor-neutral look at CodeRabbit and Qodo for AI code review on a small team — how they differ in approach, where each fits, and the criteria that actually decide which one sticks. From an integrator with no stake in either.
2026-08-25
How our reviewer caught two real regressions, blind — a transparent case study
A blind test on the open-source project excalidraw: we ran our AI reviewer on three real pull requests that were human-reviewed and merged, then judged it against what actually happened. Here's exactly what it caught, what it stayed quiet on, and the honest limits.
2026-08-25
How to integrate AI code review into GitHub Actions without flooding your team
A practical guide to wiring AI code review into GitHub Actions the right way — the four moving parts, where the human-approval gate goes, how to cap cost, and how to tune for signal so the team doesn't mute it.
2026-08-25
The best AI QA strategy for software teams — a practical playbook
Most teams buy an AI QA tool and call it a strategy. Here's the layered, assistive-first approach that actually raises quality on a 10–50 dev team — what to automate, in what order, and where to keep humans in the loop.
2026-06-29
Why teams mute their AI code review tool (and how to fix the false-positive problem)
Most AI code review tools get muted within weeks because they cry wolf. Here's why the false-positive problem happens and how to make AI review trustworthy on your codebase.
2026-06-25
AI code review for small teams — integrate it without creating chaos
A practical guide to adopting AI QA on a 10–50 dev team — what to wire up, what guardrails you need, and how to avoid faster, more scalable chaos.
2026-06-24
How to evaluate AI QA tools — a practical selection framework
A vendor-neutral framework for choosing between Qodo, CodeRabbit, SonarQube, TestSprite and others — the criteria that actually predict whether a tool will stick.
2026-06-23