Tanagram offers a self‑updating knowledge base that turns an organization’s coding conventions and incident fixes into enforceable rules. Its CLI and GitHub bot automatically check code generated by AI assistants and pull requests against these rules, providing real‑time feedback and inline PR comments to keep code quality consistent across the team.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering teams often rely on undocumented tribal knowledge and inconsistent coding conventions, leading to errors, duplicated effort, and costly incidents when code is generated by AI agents or reviewed manually. Without enforceable guardrails, mistakes can propagate across the codebase and onboarding new engineers becomes time‑consuming.
Solution
Tanagram provides a self‑updating knowledge base that captures an organization’s coding conventions, best practices, and incident remediations as enforceable rules. The platform operates at three points in the development workflow: Lore surfaces tribal knowledge through thread sharing, the CLI acts as a real‑time guardrail for AI coding agents (e.g., Claude Code, Cursor, Copilot), and Canon automatically reviews every pull request against the defined rules. Rules are generated from existing repository analysis and can be suggested, updated, and refined continuously, ensuring that the same mistake is caught at generation time and never ships again. Integration with GitHub delivers inline PR comments and CI checks, while the CLI provides instant feedback within the editor, creating a feedback loop that reinforces code quality across the team.
Target Audience
Primary customers are engineering teams that use AI coding assistants and need to enforce consistent coding standards, including tech leads, staff engineers, and DevOps groups in mid‑size to large software companies.
Features
- Lore thread‑sharing platform that captures and surfaces coding agent transcripts to encode tribal knowledge before errors occur
- CLI installed as a stop‑hook/skill for AI agents, evaluating code in real time and prompting the agent to fix violations instantly
- Canon GitHub bot that reviews every pull request against team‑specific rules, posting inline comments and CI status checks
- Automatic rule generation from existing repositories with suggested updates as the codebase evolves
- Support for up to 20–50 active rules per developer tier, with unlimited rules available for enterprise customers
- Integration with popular AI agents (Claude Code, Cursor, Copilot, Amp) and GitHub workflows
- Audit logs, SOC 2 compliance, and optional on‑premise deployment for enterprise security requirements