Spec-first agentic development · spec-first.dev

Spec-first agentic development offers a new workflow for building software using AI coding agents. Instead of the traditional approach of writing and debugging code directly, it invites you to begin with detailed specifications written in plain language. You describe what you want to build—a feature, a component, or an app—in your own words.

The system guides you through steps to formalize your requirements, generate a specification, and isolate the feature build in its own branch or worktree. Automated checks ensure that every part of the spec references real code, and a review process—potentially via a separate agent—validates your intentions against the actual implementation before code is generated or changed.

When the coding agent acts, it creates tests and logs decision points as it works, adding transparency and traceability to each commit. Only after passing builds and defined tests does the new code proceed to pull request stage, embedding the spec with the code for easy review. The tool is built to fit modern repositories—especially for teams using TypeScript, Vitest, and similar stacks—but its principles can generalize to many codebases. Everything operates from the CLI and integrates into your Git workflow, aiming to bring higher quality, clarity, and confidence to automated code generation with AI agents.

This approach is particularly suited for those experimenting with or adopting AI for meaningful contribution to source code, especially where reliability and reviewability matter.

Software developers and technical leads at startups and small teams who want to integrate AI agents into their development workflow will benefit most from this tool. It is also relevant for CTOs interested in increasing code reliability and transparency when leveraging automated coding solutions.

Teams that seek to manage feature delivery with strong process controls—like specification review, isolated testing, and gated merges—will find its workflow especially appealing. The product is particularly useful in TypeScript and modern JavaScript projects where Git-based branching and rigorous testing are already part of the culture.