Atlarix
Freemium
Engineering teams needing private/local AI coding assistance
CI failure logs are mostly noise — stack traces, retry attempts, environment dumps — and finding the one line that actually broke the build costs real time on every red pipeline.
ci-medic is an open-source CLI and CI integration that runs automatically on pipeline failure, strips that noise down to the root cause, classifies it into one of five categories (code, flake, infra, dependency, or config), and posts the verdict where your team already looks — a sticky PR comment on GitHub Actions or a build description update on Jenkins. Secrets are redacted before any model sees the log. You can point it at a local model and logs never leave your network. The tool does one thing on one trigger: failure fires, logs go in, structured verdict comes out. There is no dashboard, no retention, no analytics — just the signal.
Bottom line: Pick this if your team wastes time hunting root causes in noisy GitHub Actions or Jenkins logs and needs a privacy-safe, zero-cost way to surface them automatically — but don't expect it to cover pipelines beyond those two platforms without dropping to the CLI.
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Freemium
Engineering teams needing private/local AI coding assistance
Freemium
Developers preferring fully local agent execution
Most CI failure triage happens the same way: someone clicks into a 4,000-line log, scrolls past the noise, and eventually finds the line that actually broke the build. ci-medic automates that step. When a pipeline fails, ci-medic reads the full log, identifies the real error, redacts any secrets it finds, and classifies the failure into one of five categories — code, flake, infra, dependency, or config — then posts a structured verdict directly into the PR comment thread on GitHub Actions or the build description field on Jenkins. No manual trigger, no separate dashboard to check.
The privacy-first architecture is the distinguishing design choice. The vendor states that secrets are redacted before any model sees the log, and the docs describe a self-hosted path where you point ci-medic at a local LLM, which means log contents never leave your network. For teams in regulated environments where shipping raw CI logs to a third-party API is a non-starter, that is the feature that makes this usable at all.
ci-medic fits tightly into two scenarios: GitHub Actions pipelines where you want a verdict in the PR comment without building a custom action, and Jenkins environments where manual log review is the current process. The CLI mode extends it to any local log file on any platform. Where it breaks: there is no native integration for CircleCI, GitLab CI, Bitbucket Pipelines, or other platforms — teams on those pipelines use the CLI manually or write their own wrapper, which means the automated-on-failure trigger disappears. There is also no aggregation layer, so spotting a pattern of flake failures across dozens of PRs over time requires a separate tool.
Installation is via pip, Docker support is included, and the project is licensed under Apache-2.0. An AI verdict requires an API key for a hosted model, but the vendor states local model routing is supported, making the hosted key optional. The GitHub Actions integration is defined in action.yml and described as zero-setup for that platform; Jenkins requires a one-time configuration step to enable build description updates.
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