Feature planning
built for agents
One command drives the entire feature lifecycle — discussion, research, planning, and execution — with parallel AI agents and full git tracking.
A Claude Code plugin. Works with any codebase, scales to monorepos.
Built for how agents actually work
Every design decision optimizes for agent context, not human convenience.
/specd.continue reads task state and always knows what comes next. Discussion, research, planning, execution — fully orchestrated without remembering which command to run.
Specialized agents run simultaneously with fresh 200k context each. Codebase mapping, research, and execution agents never share context — no token pollution, faster results.
Each PLAN.md is exactly what you would send to an implementing agent. Plans contain everything needed to implement without questions — requirements, context, and decisions.
Every state change commits automatically. Stop mid-feature, switch branches, hand off to a teammate — /specd.continue picks up exactly where things left off.
The full pipeline is defined in pipeline.json. Swap any workflow, add pre/post hooks, or replace the entire pipeline. Nothing is hardcoded.
Auto-detects sub-projects, maps each one in parallel, and produces system-level topology docs. Cross-project dependency tracking and contract validation built in.
Six commands. Full control.
Everything runs through slash commands in Claude Code. Simple to start, powerful when you need it.
Initialize a new task and start the AI-driven discussion
Continue the lifecycle — picks up exactly where you left off
Dashboard showing all tasks, stages, and progress
Spawn parallel agents to analyze and document your codebase
Direct access to any individual operation
Configure auto-commit, pipeline, and project settings
The lifecycle
One command drives every stage. You decide when to pause, when to continue, and when to hand off.
Creates the task folder and starts the first discussion. Claude probes requirements, follows threads, and captures technical decisions. Stop any time — state persists.
Claude probes gray areas, asks targeted questions, and records decisions with rationale in DECISIONS.md. Context accumulates across sessions.
Three agents spawn simultaneously — codebase integration, external patterns, and pitfalls. Each gets a fresh 200k context window. Output: RESEARCH.md.
Generates ROADMAP.md with phases derived from dependency analysis. Phase goals only — no detailed plans yet. Later phases adapt based on what earlier phases actually produce.
Each phase gets a detailed PLAN.md right before execution. Agents implement, commit per task, and track progress. A review agent compares output against plan intent after each phase.
All phases pass review. State is fully committed to git. Every decision, context file, and phase plan is preserved for future reference or handoff.
The Brain
A config-driven orchestrator reads your task state and drives the entire lifecycle. Every step is automatic, resumable, and git-tracked.
Built for teams
specdacular works with the codebases and workflows you already have. No new conventions to adopt, no lock-in.
Monorepo native
Auto-detects sub-projects via package.json, go.mod, Cargo.toml, and others. Maps each in parallel, then produces system-level topology: PROJECTS.md, TOPOLOGY.md, CONTRACTS.md. Cross-project dependency graphs with cycle validation.
Seamless handoff
Git-tracked state means any team member can pick up where another left off. All decisions, research, context, and progress persist across sessions and people — no verbal handoff required.
Persistent decision log
DECISIONS.md records every technical decision with date, context, rationale, and implications. Once recorded, decisions are not re-litigated. The full reasoning trail is always accessible.
Existing codebase integration
Start with /specd.codebase.map to generate AI-optimized context docs — MAP.md, PATTERNS.md, STRUCTURE.md, CONCERNS.md. Documents what Claude cannot get from reading code: tribal knowledge, gotchas, conventions.
We build with specdacular.
Our team uses specdacular on every project. If you want help integrating AI-driven development workflows — or want a team that already works this way — get in touch.
hello@specdacular.dev