The engineering planning layer for AI-assisted software development
Structured checklists, definitions, and templates that give your AI agents — and your team — the context they need to plan, build, and ship software that actually meets its requirements.
Your AI tools are only as good as the context you give them
Teams adopting AI-assisted development face a structural problem: AI agents are powerful but context-blind. Without clearly defined requirements, architecture decisions, security constraints, and acceptance criteria, even the best AI models generate code that misses edge cases, skips critical concerns, and drifts from what was actually needed.
Engineering Framework solves this by giving your team — and your AI agents — a shared, structured source of truth. Browse a curated checklist of planning artifacts, read definitions that explain what each one means, fill in templates tailored to your project, and invoke planning workflows directly from Claude Code via a native MCP server integration.
Four capabilities that set your AI up to succeed
Built from the ground up for engineering teams that use AI coding agents
Structured checklists, definitions & templates
Browse a curated library of engineering planning artifacts — security requirements, SLOs, ADRs, rollback plans, threat models, user stories, and more. Every item ships with a definition that explains its purpose and a fill-in template ready for AI generation.
Native Claude Code & MCP server integration
An always-on MCP server exposes planning tools directly to Claude Code. Generate and review artifacts from your terminal, check planning health across phases, and get auto-generated CLAUDE.md and MCP config snippets scoped to each project.
Git repository linking
Connect projects to your Git repositories so planning artifacts travel with your code. Link and publish documentation directly to your repo, keeping engineering context in sync with the codebase throughout the development lifecycle.
Fine-grained permissions
Role-based access control at the organization, department, and project level — enforced consistently on the UI and on every MCP tool call via OpenFGA. Admins, tech leads, members, and guests each get exactly the access they need.
Everything you need to plan with AI
A complete platform for structured, AI-native engineering planning
Checklist library with definitions & fill-in templates
Every planning artifact — SLOs, rollback plans, threat models, success criteria, vendor requirements, ADRs, and more — ships with a definition and a markdown template optimized for AI generation.
Claude Code MCP server with planning prompts
Invoke start_planning_session, generate_artifact, and review_artifact directly from your Claude Code terminal session. No copy-paste, no context switching.
Auto-generated CLAUDE.md & MCP config snippets
Each project generates a ready-to-use CLAUDE.md and .claude/settings.json snippet that scopes your AI agent to the correct organization, project, and MCP server endpoint.
Git repository integration
Link projects to Git repositories and publish generated planning artifacts alongside your code. Engineering context lives where developers work.
Planning health & phase tracking
Track artifact completion across configurable project phases. Know exactly what is done, what is in progress, and what is still missing before development begins.
Fine-grained authorization — UI and MCP enforced
Every permission check runs through relationship-based access control. Roles, organizations, departments, and project memberships are enforced uniformly across the web UI and all MCP tool calls.
Multi-tenant organization & department management
Support multiple organizations, nested departments, and distinct project teams — each with their own members, roles, and permission boundaries.
Configurable project phases
Define the planning phases that match your engineering process. From discovery through architecture, implementation, and launch readiness — track progress at each stage.
Built for AI-assisted engineering teams
Whether you're an individual contributor or running a multi-team organization
Engineers using Claude Code
Give your AI assistant the structured context it needs — requirements, constraints, acceptance criteria — before generating a single line of code. Invoke planning tools directly from your terminal session.
Tech Leads
Ensure your team works from a consistent set of architecture decisions, security requirements, and success criteria before AI-assisted sprints begin. Catch planning gaps early, not in code review.
Engineering Managers
Gain visibility into planning completeness across all projects, departments, and teams. Set organization-wide standards once and enforce them through role-based access control.
AI-first engineering teams
Purpose-built for teams that rely on AI agents for day-to-day development. Structured planning artifacts become the shared context that keeps humans and AI aligned on what needs to be built.
Start planning with AI at your side
Give your team and your AI agents the structured context they need. Curated planning artifacts, native Claude Code integration, and fine-grained permissions — all in one place.