RepoWise Product - Agentic Context Engineering for AI Coding Tools
Agentic Context Engineering
RAG retrieves. ACE understands.
Reads
Your entire codebase, not just chunks. Structure, patterns, dependencies, test coverage, API surface.
Interviews
Maintainers share architecture decisions, business rules, and conventions that code alone cannot reveal.
Synthesizes
Structured, validated context files covering architecture, data models, API contracts, coding patterns, and more.
The result: continuously updated, validated context that feeds every AI tool your team uses.
What ACE captures
Architecture
System design, component relationships, technology choices
Data Models
Schemas, entity relationships, validation rules
API Contracts
Endpoints, request/response formats, authentication
Coding Patterns
Conventions, naming, file organization, error handling
Domain Knowledge
Business rules from maintainer interviews
Integration Patterns
External services, API clients, webhooks
Security Practices
Auth flows, encryption, access control
Testing Strategy
Test organization, patterns, coverage approach
What makes RepoWise different
Understands your codebase, not just your code
- Discovers structure, frameworks, and patterns
- Interviews maintainers for tribal knowledge
- Generates structured context files automatically
- Validates through multi-persona AI review
Stays fresh on every merge
- Webhooks trigger incremental scans automatically
- Only changed files get re-analyzed
- Self-healing pipeline with checkpoint recovery
- Context updates in seconds, not hours
Works with every AI tool
- One scan generates context for all tools
- Switch tools without rewriting context
- New team members get context instantly
- Future tools work automatically
Four steps to context that never goes stale.
Run `npx repowise create` in your project directory. Authenticate with GitHub, GitLab, or Bitbucket. Select your repo. That is the entire setup.
RepoWise asks the repo owner about architecture decisions, business rules, naming conventions, and patterns that code alone cannot reveal. Optional but significantly improves quality.
The pipeline scans your codebase, generates structured context files, and validates them through multi-persona AI review before delivery.
A background listener watches your main branch. Every merge triggers an automatic update. You never touch it again.
Where RepoWise sits as infrastructure
The context layer between your codebase and every AI tool.
Agents, Skills, Rules
What developers configure and customize
AI Tools
Cursor, Copilot, Claude Code, Windsurf, Cline...
RepoWise — Context Layer
Portable, always-on, agent-agnostic context
Codebase
Your repo, docs, architecture, business rules
Works with your stack
We work with every AI tool.
Git Platforms
AI Coding Tools