Hotfix
Hotfix provides an autonomous production error response system that automatically detects, traces, and repairs failures in software stacks without downtime. Its agentic engine monitors GitHub, Vercel, and CI/CD pipelines in real time, generates code fixes, creates pull requests, and deploys them while reporting status to Slack or Teams. This all‑in‑one AI‑driven CTO layer gives developers continuous, hands‑free bug remediation across their entire infrastructure.
- Artificial Intelligence
- AI Agents
- Developer Tools
Funding
Founders
Product
Problem
Software teams often experience production failures such as build errors, console exceptions, and deployment crashes that require manual debugging, root‑cause analysis, and patch creation, leading to downtime and wasted engineering effort.
Solution
Hotfix offers an autonomous execution layer that continuously monitors GitHub repositories, Vercel deployments, and CI/CD pipelines for failures. When an error is detected, the system traces the root cause across the entire stack, generates a code fix, opens a pull request, and oversees the deployment rollout. Throughout the process, Hotfix reports status and outcomes to team collaboration tools like Slack and Microsoft Teams, providing a complete end‑to‑end remediation workflow without human intervention.
Target Audience
Hotfix is aimed at development and DevOps teams that manage web applications and microservice architectures, particularly those using GitHub, Vercel, and automated CI/CD pipelines.
Features
- Real‑time scanning of GitHub, Vercel, and CI/CD pipelines for build, console, and deployment failures
- Automated root‑cause tracing across services and commits with explanatory diagnostics
- AI‑driven code generation that creates and submits a pull request to resolve the issue
- Continuous monitoring of the fix’s deployment and automatic rollback handling if needed
- Integrated notifications and status updates delivered to Slack and Microsoft Teams
- Agentic “CTO‑like” access to backend resources, enabling full‑stack remediation without manual steps