Fixbugs
Reproduce production bugs and verify fixes
Last verified:
What is Fixbugs?
FixBugs is an AI debugging agent that automates the entire bug-fixing workflow for SREs and oncall engineers—from ingesting alerts and analyzing logs to performing root cause analysis and generating validated fixes with reproduction tests. Available as a VSCode extension and GitHub App with integrations for GitHub, GitLab, Prometheus, and Jira.
Fixbugs pricing
Pricing model: Freemium
Free trial covers 3 end-to-end bug triages; full pricing available at /pricing page (details not shown in content)
Fixbugs pros
- End-to-end automation from alert triage to validated fix generation and deployment
- Unlimited context reasoning capability (no hard token limits like general coding agents)
- Automated bug context ingestion from diverse sources: logs, traces, metrics, images, videos, comments
- Validation-first approach with reproduction test cases and regression verification built-in
- Transparent reasoning chains and auditable decision-making (not black-box)
- Collaborative triage sessions that can be shared and loaded by other engineers
Fixbugs cons
- Prometheus integration is still in beta, limiting monitoring stack support
- Limited free tier (only 3 end-to-end bug triages) suggests high resource requirements
- Self-hosted and local deployment options not yet available (early access phase)
Frequently asked questions about Fixbugs
How is FixBugs different from coding agents?
Coding agents are built for writing code, not fixing it. FixBugs is purpose-built for debugging distributed systems with stateful, auditable multi-agent workflows, unlimited context, automated bug ingestion, fix validation, collaboration features, and artifact versioning—capabilities general coding agents lack.
What does validation-first mean?
Every fix generated by FixBugs includes a reproduction test case and regression verification to ensure the issue is fully resolved before being proposed.
Which integrations are supported?
GitHub, VS Code, GitLab, Prometheus (beta), Jira, and Atlassian.
Does source code leave the machine?
The FAQ is listed but answer not provided in content; privacy policy suggests selective cloud processing with zero data retention for LLM APIs.