Code review that reads your system.
AI agents now ship more pull requests than your team can read. Today Spinal is available to every team — production-aware code review that checks each change against the system it is about to touch, not just the lines in the diff.
Spinal reviews every enabled pull request — human-written, AI-generated, or somewhere in between — against your schemas, dashboards, and architecture decisions. It runs above the tools your developers already use: Claude Code, Cursor, Codex.
And it does not stop at an opinion. When a change is risky, Spinal writes focused tests, runs them, and reports findings as evidence you can act on before merge.
Ship software with evidence, not vibes.
Review fires the moment a PR opens.
Install the GitHub or GitLab App, pick which repositories Spinal reviews, and set the mode per repo — auto-review, auto-review with tests, or on-mention. Reviews are webhook-triggered the moment a pull request opens. There is no CI step to add and no bot to invite.
From there Spinal walks the diff, gathers context, and decides which changes warrant verification — instead of leaving the same generic comment on every file.
Findings cite production, not guesses.
Connect observability (Grafana, Datadog, Sentry), notifications (Slack, Microsoft Teams), and any MCP servers your team already runs. With those wired in, a finding can point at a real error rate, a real alert, or a real trace on the path the change touches — not a plausible-sounding hypothesis.
That is the difference between a reviewer that reads your diff and one that reads your system.
Risky changes are validated, not flagged.
For the changes that matter, Spinal understands your CI and writes focused tests — a webhook idempotency check, a migration backfill assertion — then runs them against your suite. A finding arrives with the test that reproduces it, or it does not arrive at all.
The result is a review developers trust: complete, specific, and backed by something that ran.
The bottleneck moved from writing code to trusting it.
Coding agents do not just write faster. They open more diffs in a day than a senior engineer can read with judgment. The math of "review every change carefully" stops working when one human is meant to grade ten or twenty PRs from tools that never get tired.
AI-generated code is also persuasive in a way bad human code rarely is. It compiles, passes lint, often passes CI. What it does not do reliably is fit — the unspoken architecture, the boundaries that exist for reasons not written in the file. A diff can read fine line by line and be wrong at the system level.
Catching that is not a style check. It is a system check — and that is what we built Spinal to be.
Self-hosted, EU-resident, audited.
Spinal runs in your VPC or on-prem, authenticates through SAML or OIDC SSO, and keeps a full audit trail of every review. EU data residency is available out of the box — not gated behind an enterprise plan.
Your code stays where your compliance team needs it to. Read the security overview.
See it on your next pull request.
Connect a repo. Open a PR. Spinal reviews it against your system and shows you the evidence. Every review feeds the next one — evidence compounds, vibes do not.