No timeout and no status check on the charge call. A hung upstream holds the request until the gateway kills it.
Precedent INC-2231 Checkout 5xx spike, 14 Mar, 41 minutes to resolve. Same failure class: an unbounded fetch in the payment path.
Every pull request, checked against your codebase, your standards, and the incidents you already had.
No timeout and no status check on the charge call. A hung upstream holds the request until the gateway kills it.
Precedent INC-2231 Checkout 5xx spike, 14 Mar, 41 minutes to resolve. Same failure class: an unbounded fetch in the payment path.
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Where reviews fall short
Every incident records what broke, where, and why. That record rarely reaches the next review.
A correct change in one file can still break a caller in a file or repository the PR never touched.
Rules your team already agreed on get skipped in review. Entelligence checks every pull request against them.
A change can look safe in isolation and still repeat a past incident. Incident history shows the pattern.
How Entelligence Reviews
Callers, dependencies, Guidelines, Learnings, linked repositories, and production incidents.
100 findings considered
Set the bar per repository: critical only, medium and above, or everything. Cap inline comments or post one summary instead.
payments/ guidelines
4 rules
PR 5103 · createCharge.ts:26
Rules that always apply. Write them, link docs you already keep, or generate them from review history. Assign per repository.
Finds every caller of a changed function, including callers in linked repositories the PR didn’t touch.
checked before firing
Each finding names the file, the line and the call sites it checked, so you can verify it before you act.
re-review until it clears
Set the conditions a PR must meet before Entelligence approves it. It never merges on its own.
your engineers, on your pull requests
wrap this in a retry
use the shared client
retry, like last time
said 11 times, now checked every time
Generate Guidelines from the comments your engineers already leave. Findings they mark unhelpful become Learnings and come up less.
World model
Code, Guidelines, Learnings from past reviews, linked repositories, and production incidents, connected in one graph. One finding can cite the caller, the rule, and the incident together.
CRITICALcreateCharge.ts:26posted on PR 5103
From Engineering Teams
Two teams, measured by what their engineers did with the review: findings fixed at Clodo, comments acted on at Hobbes.
Findings fixed
77%
Entelligence fits seamlessly into our workflow. We were already using AI coding tools like Claude and Cursor, but Entelligence fills the gap they leave behind. It catches missed issues and tightens our feedback loop, which has made a real difference to how confidently we ship.
Comment action rate
59%
We were using Claude for code review, and while the comments weren't wrong, they were just noise. Switching to Entelligence was a completely different experience. The comments are specific, tied to real patterns in our codebase, and engineers actually listen to them.
67 production bugs 8 review tools 5 repositories
See what each reviewer caught, what it missed, and the findings behind the numbers.
Read the full reportWorkflow
The review starts when the PR opens and runs again on every push. Findings land on the lines they are about, in the PR your team already reads.
Nothing is configured at this point and nobody has been assigned. The review is queued because the repository is connected.
Your stack
Findings follow the code into your editor, your terminal and your coding agent, and every new commit gets a fresh review.
Four review surfaces
Each finding carries a ready prompt for Claude Code or Cursor.
Connect Cursor, Claude Code, Codex, or VS Code over MCP.
Run entelligence review on your local diff, in the terminal.
The score updates with each fix. Approval at 5/5 is optional.
Beyond the Review
Benchmarks, cost analysis, and guides on reducing review noise and catching bugs before production.
Other questions: book a call with the team.
The code around the change: callers, dependencies and repository structure. It also reads the guidelines you assign, repository Markdown such as AGENTS.md, accepted Learnings, linked repositories and, where connected, your production incidents. That is how a finding can point at a call site in another repo, or at the incident the change would repeat.
GitHub, GitLab and Bitbucket, including supported self-hosted GitHub and GitLab. Language-aware checks cover Python, JavaScript and TypeScript (JSX and TSX too), Java, Go, C, C++, C#, Ruby, Rust and Dart, and cross-language checks apply beyond that list.
Each repository sets its own bar: critical only, medium and above, or everything. You can cap the number of inline comments, switch to a single summary comment, and choose short or detailed explanations. Most teams start at medium and above and adjust after a week of real pull requests.
Guidelines hold the rules that should always apply. Write them, point at the docs you already keep, or generate them from your review history, then assign them per repository. Learnings handle exceptions: when an engineer marks a finding unhelpful and says why, it becomes a Learning and the same false positive comes up less in later reviews.
It never merges. If you turn on approval at 5/5, it submits an approval through your Git provider once the confidence score reaches 5 out of 5. Branch protection, required checks and required reviewers still decide the merge, and the setting is off until you turn it on for a repository.
Yes. Run entelligence review in your terminal to check local changes, or add --prompt-only to hand the findings to Claude Code, Cursor or Codex as the next task. It is the same review engine that comments on your pull requests.
Review local changesYour code is used only for your organization and never to train models. Secrets are encrypted at rest, and you can deploy in your own cloud with your own model provider keys.
How we handle your codeConnect one repository, open a pull request and comment @entelligence review. The first review arrives in minutes and there is no credit card to start. Plans are priced by team size and review volume.
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