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Evidence, not vibes.
Writing on production-aware code review, the AI-era review bottleneck, and shipping software you can actually trust.
Code review that reads your system
Production-aware code review that checks each change against the system it is about to touch — not just the lines in the diff.
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Your backend and frontend shouldn't share one code reviewer
Every repository gets its own configured reviewer: its own instructions, tools, validation, and rules about what it is allowed to see.
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Why not just use an LLM to review your pull requests?
An LLM reviews a diff. A team needs a review system — and most of that system is the harness around the model, not the model itself.
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Your CI runs the tests you wrote. Spinal writes the one you didn't.
CI asks “did this break a known test?” Spinal asks “is this suspected bug real?” — and runs inside your CI to answer it.
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Production-aware code review: the discipline AI-era teams are missing
Review the change against the system, not against the text. Three properties separate production-aware review from a faster diff reader.
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AI code review tools compared: how to choose in the agent era
Every tool reads your diff and leaves comments. The useful question is what backs a finding before you trust it enough to merge.
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Self-hosted, EU-resident AI code review for regulated teams
The problem isn't the reviews. It's the data path. Keep your code in the EU — and ideally inside your own perimeter.
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What is Spinal? The agent-first engineering harness for enterprise teams
Spinal is not where developers write code. It is the harness that checks whether the change should ship.
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