AI Code Review and CI Repair: Problems Kramlipi Solves

Who this is for

  • Who this is for
  • Engineers whose GitHub Actions (or GitLab / Azure) stay red after the “simple” fix
  • Teams drowning in PR comments that miss the bug and nitpick style
  • Platform leads watching CI minutes climb because every PR runs everything
  • Security-minded orgs that will not upload the monorepo to a multi-tenant review cloud

Who this is for

  • Engineers whose GitHub Actions (or GitLab / Azure) stay red after the “simple” fix
  • Teams drowning in PR comments that miss the bug and nitpick style
  • Platform leads watching CI minutes climb because every PR runs everything
  • Security-minded orgs that will not upload the monorepo to a multi-tenant review cloud

If you want an autonomous software engineer that replaces seniors, this is the wrong page. If you want red → verified green → draft PR, keep reading.

Problems Kramlipi solves

Failed CI builds that steal the night

Problem: The pipeline fails at 11pm. The log is four thousand lines. You grep, guess, push, wait, fail again.

What Kramlipi does: The bug-fix expert parses the log (pytest, tsc, mypy, Go, Rust, and others), edits code inside a workspace jail, and reruns your --verify-cmd. It stops when that command exits 0 — then can open a draft PR with RCA, not a paste of the raw log.

Fixed when: The same verify command CI trusts is green, and a human still reviews the diff.

code-agent experts run bug-fix --log ci.log --verify-cmd "pytest -q" --publish

We do not rewrite .github/workflows/** to make the badge green. We fix the app code that broke the build. That is a product rule, not a missing feature.

Pull requests that wait for a human to catch the obvious

Pull requests that wait for a human to catch the obvious

Problem: Review queues grow because AI-written code ships faster than seniors can read it. Linters miss product bugs. Chat-only bots say “LGTM” or dump twenty vague comments.

What Kramlipi does: First-pass line comments on the diff: scanners + repo context + an AI critic, filtered back to changed lines. Humans still own design, architecture, and risk acceptance.

Fixed when: The obvious credential, eval(), or assignment-instead-of-compare is on the PR before standup — without replacing a senior design review.

The same PR fails again after every push

The same PR fails again after every push

Problem: Fix, push, new failure, context switch all day.

What Kramlipi does: experts watch --pr N babysits checks and re-runs the fix loop until green or it hits a cap — without a pile of duplicate spam MRs.

The same PR fails again after every push

Problem: Fix, push, new failure, context switch all day.

What Kramlipi does: experts watch --pr N babysits checks and re-runs the fix loop until green or it hits a cap — without a pile of duplicate spam MRs.

code-agent experts watch --pr 42 --verify-cmd "pytest -q"

Full test suite on every tiny change

Problem: One helper file changes. CI runs thousands of tests. Merge queue stalls. Finance asks why Actions minutes doubled.

What Kramlipi does: test-intel maps the git diff to impacted tests and prints a narrower verify_cmd. Python/pytest selection is live (beta). Other languages are on a collector roadmap — measure wall-clock on your repo before you promise finance a percentage.

Fixed when: PRs run the tests that match the change, with a fallback when the graph is empty or risky.

Problem: One helper file changes. CI runs thousands of tests. Merge queue stalls. Finance asks why Actions minutes doubled.

What Kramlipi does: test-intel maps the git diff to impacted tests and prints a narrower verify_cmd. Python/pytest selection is live (beta). Other languages are on a collector roadmap — measure wall-clock on your repo before you promise finance a percentage.

Fixed when: PRs run the tests that match the change, with a fallback when the graph is empty or risky.

code-agent experts run test-intel --base-branch main

Coverage gates that block the merge

Problem: Coverage is under the threshold. The temptation is to weaken the gate or delete code.

What Kramlipi does: The agent adds tests against your coverage command (--cov-fail-under=N or equivalent). It does not “fix” coverage by deleting product code.

Fixed when: The same coverage command exits 0 and a human reviews the new tests.

Flaky tests that burn reruns

Problem: The suite fails, you rerun, it passes. Teams normalize retries and hide instability.

What Kramlipi does: Fail/pass history per test node, plus skip-known-flakes on a PR with a logged reason — not silent sabotage. This is heuristic memory (~partial classification), not “100% flaky test detection.”

Fixed when: Known flakes are skipped on MR with an audit trail, and real regressions still fail the gate.

It passes locally, fails in CI

Problem: Path, Python version, missing service — local green, pipeline red.

What Kramlipi does: You give it the exact pipeline verify command (binary, Docker, or Action). It proves the fix under that command. It does not yet recreate a full CI compose stack for you — you still supply the real command and a workspace that matches CI as closely as you can.


Uploading source to someone else’s cloud

8. Uploading source to someone else’s cloud

Problem: Review SaaS wants the monorepo. Procurement and security stall.

What Kramlipi does: Customer-hosted binary / Action / VS Code. BYO LLM (Gemini, Claude, OpenAI, local). We do not train on your codebase in our cloud. Keys stay in environment variables, not committed config.

Features (what you can run today)

FeatureSurfaceWhat “done” means
Verify-gated repairbug-fix, runYour verify_cmd exits 0 or the run fails closed
Draft PR / MR--publishHuman reviews a diff, not a chat transcript
First-pass PR reviewcode-reviewInline comments with evidence on changed lines
PR babysitexperts watchRe-fix until green or max attempts
Diff-aware teststest-intelImpacted pytest (beta); other languages collecting
Coverage growthrun + cov verifyTests added; gate not lowered
Flake memorymemory + skip-on-MRHistory + optional skip, with a reason
Forbidden workflowspolicy.github/workflows/** not auto-edited
Local / CI / editorbinary, Action, VS Code, web chatSame loop, your runner
Economy modedefault capsFewer empty LLM loops; subprocess is the grade

Where it runs: local binary, code-agent web serve, CLI run, GitHub Action, VS Code extension, Docker. Bring Gemini, Claude, OpenAI, or a local model.

Features (what you can run today)

FeatureSurfaceWhat “done” means
Verify-gated repairbug-fix, runYour verify_cmd exits 0 or the run fails closed
Draft PR / MR--publishHuman reviews a diff, not a chat transcript
First-pass PR reviewcode-reviewInline comments with evidence on changed lines
PR babysitexperts watchRe-fix until green or max attempts
Diff-aware teststest-intelImpacted pytest (beta); other languages collecting
Coverage growthrun + cov verifyTests added; gate not lowered
Flake memorymemory + skip-on-MRHistory + optional skip, with a reason
Forbidden workflowspolicy.github/workflows/** not auto-edited
Local / CI / editorbinary, Action, VS Code, web chatSame loop, your runner
Economy modedefault capsFewer empty LLM loops; subprocess is the grade

Where it runs: local binary, code-agent web serve, CLI run, GitHub Action, VS Code extension, Docker. Bring Gemini, Claude, OpenAI, or a local model.


How the loop works (mechanism, not magic)

  1. Read the failure log or the PR diff — parsers first, not a model guessing from a screenshot.
  2. Edit only under a workspace jail (path allowlist, file caps).
  3. Verify with your command. The model does not mark its own homework.
  4. Publish a draft PR or line comments when the gate is green (or review-only when you asked for comments).
  5. Stop honestly if verify stays red. No silent pass.

That is why we say verify-gated. It is also why we refuse to “repair CI” by rewriting pipeline YAML.


What Kramlipi is not

Be precise so searchers who need a different product leave before they bounce:

  • Not a full senior design-review SaaS (CodeRabbit-class breadth of comments is not the job)
  • Not a CircleCI replacement and not a Chunk lock-in — we sit on GitHub Actions and your runner
  • Not a guaranteed-fix SLA — we promise the gate, not a percentage
  • Not SOC 2 / HIPAA certified (do not claim it)
  • Not an agent that edits GitHub Actions YAML to fake green

Honest stack: many teams keep a comment bot and Kramlipi. One talks about the diff. The other will not ship until your tests pass.


FAQ

Is Kramlipi an AI code review tool?
Yes — first-pass, diff-aware line comments with scanners and a critic. It is also CI repair. Review without a verify gate is only half the job.

Can it fix a failing GitHub Actions build?
It can parse the failed log, change application code, and rerun your test/build command. It will not edit workflow YAML to force a green check.

Does it detect flaky tests?
It keeps fail/pass history per test node and can skip known flakes on a PR. Treat that as evidence-backed memory, not a perfect classifier.

Do you host our source?
No. Binary, Action, or editor on your side. You bring the LLM key.

Is there a free tier?
Yes — local free tier with caps, no credit card required. Production CI at team pricing is on kramlipi.com.

CodeRabbit alternative?
If you only want more review comments, stay with a review bot. If you want failed build → your tests green → draft PR, Kramlipi is the other job.


Get started

  1. Download the binary: code-agent-binaries
  2. code-agent setup then code-agent doctor --provider-test
  3. Repair: code-agent experts run bug-fix --log ci.log --verify-cmd "pytest -q"
  4. Review in CI: pin the Marketplace Action

Docs: Get started · Positioning: verify-cmd · draft PR · customer-hosted · BYO key · forbidden workflows · receipt

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