# Revelara

> Revelara catches reliability risks in your coding agent before they become outages.

Revelara is a reliability risk platform for engineering teams. It analyzes codebases against patterns from a corpus of public production incidents, maintains an organization's risk register and controls catalog, and connects to coding agents via MCP, a CLI, and editor plugins.

## Docs

- [MCP server](https://revelara.ai/docs/mcp/): Endpoint, authentication, and tool reference for connecting Claude Code, claude.ai, or any MCP client to Revelara.

## Site

- [Home](https://revelara.ai/): Product overview and how it works.
- [About](https://revelara.ai/about/): Company, what we build, and team.
- [Blog](https://revelara.ai/blog/): Findings and field guides from the incident corpus.

## Blog posts

- [GitHub's February 9 Incidents: What 'Mitigation' Leaves Out](https://revelara.ai/blog/mitigation-theater-github-february-9/): Two GitHub incidents 74 minutes apart, same underlying cause, read through a heuristic lens and a systems-theoretic one.
- [The Medium-Severity Paradox: Where Engineering Time Actually Goes](https://revelara.ai/blog/medium-severity-paradox-corpus-analysis/): Across nearly 3,000 public postmortems, medium-severity incidents consume roughly thirteen times more engineering time than critical ones.
- [What the DORA 2026 J-Curve Actually Says About Reliability and Vibe Coding](https://revelara.ai/blog/dora-2026-j-curve-reliability-vibe-coding/): The verification tax the DORA 2026 ROI report names is the same cost vibe coding pushes onto a tired reviewer.
- [The Observability System I Almost Shipped](https://revelara.ai/blog/the-observability-system-i-almost-shipped/): Running an STPA review on a PRD surfaced seven findings about interactions between components that individually worked fine.