AI Technical Spec Generator

The spec includes a problem statement and goals, non-goals to scope the work, proposed solution with architecture overview, detailed design with API contracts and data models, implementation phases with milestones, testing strategy, monitoring and success metrics, and rollout plan. The Comprehensive level adds alternative approaches considered, risk analysis, and security review.

Detail should match scope. Small features need a focused one-pager covering the approach and key decisions. Medium features need API contracts, data models, and implementation phases. Large systems need comprehensive specs with alternatives analysis, migration plans, and cross-team dependencies. Our generator scales detail to your selected scope level.

Write a spec before starting any work that involves architectural decisions, cross-team dependencies, new system components, or changes that affect multiple services. Specs are valuable when the implementation approach is not obvious, when multiple engineers will work on the feature, or when stakeholders need visibility into the technical approach.

The Comprehensive level includes an Alternatives Considered section that documents other approaches you evaluated and why you chose the proposed solution. This is valuable because it prevents teammates from suggesting approaches you already ruled out, documents trade-offs for future reference, and shows leadership that the team evaluated options thoroughly.

Yes, breaking the work into milestones with clear deliverables helps with planning, tracking, and communication. Each milestone should deliver a functional increment — not just a percentage complete. Our generator creates milestones that build incrementally, with each one providing value and a natural checkpoint for feedback and adjustment.