CodingIntermediate

Spec-first AI feature delivery

Turn one approved product requirement into a small, tested AI-assisted feature with a human-owned release decision.

Setup time

2 hours

Time saved

4-10 hours

Best for

Product engineers, Technical founders, Startup teams

Tools

Kiro, Claude Code, Warp, Linear, PostHog

Quick answer

How does the “Spec-first AI feature delivery” workflow work?

A specification keeps coding agents useful. It makes the desired behavior, boundaries, test cases, and release owner clear before implementation starts. It takes about 2 hours, uses Kiro, Claude Code, Warp, Linear, PostHog, and follows 5 documented steps.

Published by GPTNavi Editorial TeamLast materially updated 2026-08-19

Built from public product information and practical workflow-design patterns. Verify current pricing, features, and policies with each provider.

Overview

A specification keeps coding agents useful. It makes the desired behavior, boundaries, test cases, and release owner clear before implementation starts.

When to use this workflow

Small customer-facing feature

Bug fix

Internal workflow

Prototype hardening

Tools you need

Kiro

AI coding

Freemium

Spec-driven AI development environment for turning requirements into implementation plans, code, tests, and repeatable engineering artifacts.

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Claude Code

AI coding

Paid

Agentic coding tool for understanding repositories, implementing scoped changes, running tests, and preparing reviewable engineering work.

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Warp

AI coding

Freemium

AI-native terminal and developer workspace for executing, documenting, and sharing repeatable engineering tasks.

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Linear

Product management

Freemium

Issue tracking and product planning tool for engineering, product, and growth teams.

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PostHog

Analytics

Freemium

Product analytics platform for events, funnels, session replay, feature flags, and experiments.

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Step-by-step workflow

Write the behavior contract

Define the user job, success state, acceptance criteria, non-goals, permissions, edge cases, and measurable release signal.

Tool used

Linear

Expected output

A bounded implementation ticket.

Generate an implementation spec

Turn the ticket into a file-level implementation plan, task list, risks, and test cases; correct it before code changes begin.

Tool used

Kiro

Expected output

An approved engineering spec.

Implement in a reviewable branch

Ask the coding agent to make only the approved changes, explain decisions, and run the relevant tests.

Tool used

Claude Code

Expected output

A focused pull request or branch.

Reproduce and inspect

Run the feature through its normal and failure paths from the terminal, then attach the test evidence to the ticket.

Tool used

Warp

Expected output

Reproducible test evidence.

Release with one metric

Deploy through the normal review path and watch the single customer outcome, error signal, or drop-off point that justified the work.

Tool used

PostHog

Expected output

A human-approved release decision.

Prompt templates

Feature spec

Turn this product request into a compact engineering spec. Include user outcome, acceptance criteria, non-goals, affected surfaces, permissions, edge cases, test cases, rollout metric, and rollback condition. Request: [paste]

Change review

Review this implementation against the approved spec. Find missing acceptance criteria, regressions, unsafe assumptions, confusing UX, and missing tests. Give evidence and the smallest corrective action. Spec and diff: [paste]