FixBugs

FixBugs is an AI debugging agent built for the moment an alert fires. It triages what came in, works out the root cause, reproduces the problem, and hands back a code change with a test attached. The company frames the whole arc as going from alert to validated fix, and calls the ambition continuous bugfixing. The target user is stated plainly, SREs and oncall engineers rather than developers writing new features.

The argument underneath the product is that coding and debugging are different jobs. Coding agents are optimized for writing new code from nearby context, which works when you already know what you want. Production failures are the opposite situation, where information is incomplete and scattered across traces, spans, logs, metrics, and a half-written issue comment. FixBugs is built for that case, using what the site calls stateful, auditable, collaborative multi-agent workflows. The three pillars it leads with are huge context reasoning, validation-first fixes, and being developer-native rather than another dashboard to check.

In practice it runs four steps. It processes alerts, issues, and logs and organizes them with clear context and priority. It connects signals across systems to pinpoint where and why the failure happened. It recreates the problem in a controlled environment so the diagnosis is accurate rather than plausible. Then it delivers a ready-to-review code change with validation that the issue is genuinely resolved. That last step is the one the team keeps pointing at, and validation-first is their term for it, meaning a diff counts as incomplete until it's tied to a reproduced issue, a written rationale, and test or verification output a reviewer can actually inspect.

Two surfaces exist today. There's a VS Code extension for local work, and a GitHub App that takes over automatically. Install the app and every issue gets analyzed on its own, with a bug summary, severity, and actionable insights posted straight into the thread. Validated code changes with full diffs are shared in that same thread before any code is modified, so nothing lands behind your back. Every fix ships with a clear reasoning chain, which matters when you're approving a change to production at two in the morning and want to know why the agent believes what it believes. GitLab, Jira, and Atlassian have native integrations, and Prometheus support is marked beta.

The comparison the site draws against generic coding agents is concrete rather than hand-wavy. Where a coding agent tops out around a 200K token context and needs you to paste the bug context in yourself, FixBugs ingests logs, traces, metrics, comments, images, and videos automatically and claims no hard upper limit. Where a chat session is local and unshareable and the conversation eventually moves on, FixBugs versions every object so it can be rewound, and a triage session can be posted to a bug and loaded by another engineer picking up the pager. Fixes get pushed as pull requests with state persisted and updates posted back to the issue tracker, instead of copy-pasted out of a chat window and lost when the tab closes.

Data handling gets real attention in the FAQ, which is sensible for a tool pointed at production. In the local VS Code and CLI workflows, repository files are read from your machine or a team-controlled environment, and selected context goes only to configured Zero Data Retention model endpoints that contractually don't keep prompts or outputs for training or later inspection. The local workflow doesn't send any code to FixBugs itself. The GitHub App is a different trade, since it accesses the git repository directly. Self-hosted deployment is available for teams that need infrastructure control. FixBugs is built by Modulo AI and founded by Kirti Vardhan Rathore, who was oncall at Google and VMware, holds an MS in computer science from Dartmouth, and has spent more than a decade building distributed systems. His stated reason for building it is that human bandwidth at scale is the scarce resource, and agent architectures are a plausible way to turbocharge alert investigations.

Pricing is freemium and easy to read. A free trial covers three end-to-end bug fixes a month with no credit card required, backed by Discord support. Pro is $33 a month for 15 monthly bug fixes plus pay-as-you-go credits for overages and email support. Super User is $60 a month for 30 fixes with email and priority support and dedicated onboarding. Annual billing knocks 25 percent off the self-serve paid plans, bringing Pro to $24.75 and Super User to $45 a month, and there's a 14-day money-back guarantee with the option to change plans anytime. Enterprise is custom and adds a designated success manager, advanced access controls, multiple environments, enterprise security reviews, live onboarding, support SLAs, and a 99.99 percent uptime commitment.