Atlarix
Freemium
Engineering teams needing private/local AI coding assistance
Production errors queue up in Sentry while engineers context-switch from feature work to archaeology — digging through stacktraces, finding the offending line, writing the fix, opening the PR. bugzero cuts that loop short by doing the archaeology itself.
The agent watches your Sentry alerts, reads the relevant stacktrace, explores only the files tied to that error, and opens a GitHub pull request with the fix and a root-cause explanation — no manual handoff required. You review before anything merges. The BYOK model means your API costs stay visible and under your control. Where it breaks: the agent operates within a single error-to-PR loop, so systemic issues that span multiple services or require architectural judgment still land on a human. Teams debugging cross-repo failures will find the scope too narrow.
Bottom line: If your team loses hours a week to Sentry noise on a GitHub-based repo, bugzero turns that into a PR queue you skim — but if your bugs routinely require human judgment about system design, the PRs will be wrong often enough to erode trust.
For trying bugzero or a small side project
For teams shipping to production
View full pricing on bugzero.dev →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
More options in Coding Assistants. Compare pricing, platforms, and features side by side.
Freemium
Engineering teams needing private/local AI coding assistance
Freemium
Developers preferring fully local agent execution
bugzero connects to GitHub and Sentry via OAuth and a GitHub App, then sits in the path between a firing Sentry alert and your repository. When an error hits, the agent reads the stacktrace, traverses the codebase to locate root cause, and opens a pull request containing the fix, a diff, and an explanation of what went wrong. Nothing merges automatically — the PR waits for your review.
The standout feature is dry-run mode. Before committing to a pull request, the agent runs the analysis and shows you exactly what it would change without touching the repo. For teams skeptical about automated fixes landing in main, dry-run lets you calibrate trust before enabling the full autonomous flow — you see the reasoning, reject or accept, and only then let the PR generate.
The tool fits cleanly into teams already running Sentry plus GitHub as their core error-monitoring and version-control stack. Language support is not a constraint the vendor imposes: because the agent reads code rather than executes it, the docs describe it as language-agnostic. The ceiling appears on errors that require judgment beyond a single file or function — architectural bugs, race conditions that only reproduce under specific load, or problems that span services. The agent’s fine-grained GitHub App permissions mean it reads only the files relevant to the specific error, which is a security boundary that also caps how far it can reason across a large system.
Setup is scoped to roughly two minutes per the vendor — OAuth for Sentry, a GitHub App install, no webhook configuration. Runs are metered; the free tier provides three total, and all paid tiers require you to bring your own API key, so model inference costs are billed directly to your account rather than bundled into the subscription.
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