Spec-Driven Development Workflow for Claude Code

Multi-step spec generation and task decomposition to reduce costs and improve agent performance

Updated: 5/22/2026
Difficulty
medium
Time
varies by task
Use Case
Structuring complex coding tasks for AI agents to improve accuracy and reduce token costs
Popularity
0 views

About this automation

A structured approach to coding agent workflows that decomposes tasks across two dimensions: (1) spec generation in multiple steps (requirements, code analysis, design), and (2) task splitting into subtasks implemented sequentially. Context is cleared between steps, specs are persisted to disk, and specs are delivered layer-by-layer to catch agent errors early.

How to implement

1

Generate requirements specification

2

Perform code analysis and document findings

3

Create detailed design specification

4

Clear context and split into subtasks

5

Implement each subtask sequentially

6

Clear context between subtask implementations

7

Persist specs and results to disk for information continuity

8

Verify agent output against specs layer-by-layer