Architecture Agent

Teams are using more coding agents and producing code at a volume that's hard to keep up with. When that much code is moving, it gets a lot harder to make sure the output stays high quality and consistent with how your system is actually meant to work. Architecture Decision Records (ADRs) are the guardrails for that. They capture the decisions your team has made about how your codebase should be built, so every change, whether it's written by a person or an agent, can be held to the same standard.

ADRs turn your team's architectural decisions into something every contributor and every coding agent can follow. Instead of relying on tribal knowledge or hoping an agent guesses your conventions, you give it an explicit standard to build against. That keeps quality high even as the volume of AI-generated code grows, and it stops your architecture from drifting over time.

The Architecture Agent is your guardrails for agentic coding. It analyzes your codebase, captures your architectural decisions as ADRs, and keeps every AI coding agent in sync with your standards. It automatically generates and maintains ADRs from your codebase patterns, manages the context files your agents read (like claude.md and agents.md), and runs architectural code reviews on your pull requests to catch violations early.

Most AI code review tools check your code against generic best practices. The Architecture Agent checks it against your team's own architectural decisions. It reads the ADRs for your codebase and flags pull requests that drift from them, so a change that looks fine on its own still gets caught if it breaks a pattern your team agreed on. Tools like CodeRabbit and Greptile review the diff. The Architecture Agent reviews the diff against your architecture.

AI coding agents are fast, but they don't know your team's conventions, so they reintroduce patterns you've already decided against. The Architecture Agent gives every agent the same source of truth. It syncs your ADRs into the context files your agents read, and it reviews their output on each pull request. Whether code is written by a person, Cursor, Claude Code, or Copilot, it gets checked against the same architectural standards.

Actual AI works with the AI coding tools your team already uses, including Cursor, Claude Code, GitHub Copilot, Windsurf, Cline, Codex, and Aider. It fits into your existing GitHub workflow without changing how you write or ship code.