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Spec-Driven vs Prompt-Driven Development: Quick Summary

Spec-Driven vs Prompt-Driven Development: Quick Summary

Date: 2025-12-18 Model: Claude Opus 4.5 for both approaches Projects: 6 small-to-medium Go CLI tools (1-5k LOC each) Full Report: spec-comparison-projects.md


What is Spec-Driven Development?

Instead of going directly from prompt to code (prompt-driven), spec-driven follows a structured workflow:

Prompt → Specification → Plan → Tasks → Implementation

The autospec CLI orchestrates this using Claude Code, generating YAML artifacts (spec.yaml, plan.yaml, tasks.yaml) before writing any code.


Results at a Glance

Metric Spec-Driven Prompt-Driven Difference
Avg Time 27.9 min 8.4 min 3.3x slower
Avg Quality 87% 71% +16% better
Avg Go LOC 4,078 1,932 2.1x more code
Avg Test LOC 2,312 1,009 2.3x more tests
Build Success 6/6 6/6 Both work

Quality Breakdown (Average Score by Criterion)

Criterion Spec Prompt Δ
Architecture 9.5 6.3 +3.2
Documentation 7.3 5.7 +1.6
Test Quality 8.5 7.0 +1.5
Error Handling 8.7 7.3 +1.4
CLI Experience 8.6 7.2 +1.4
Edge Cases 9.0 8.0 +1.0
Feature Completeness 9.3 8.3 +1.0

The Tradeoff

Spec-driven: Better architecture, modularity, tests, and edge case handling—at 3.3x the time cost.

Prompt-driven: 2.7x more efficient (quality points per minute), but 16% lower quality on average.

Break-Even Analysis

If you value 1% quality improvement at ~1.2 minutes of dev time, the approaches are equivalent.

  • Production code where quality matters → Use spec-driven
  • Prototypes/POCs where speed matters → Use prompt-driven

When to Use Each

Use Spec-Driven When:

  • Building production/enterprise code
  • Complex features with many edge cases
  • Team projects requiring consistent patterns
  • Multiple output formats or integrations needed
  • Quality > speed

Use Prompt-Driven When:

  • Building prototypes or POCs
  • Simple utilities with clear requirements
  • Time-constrained situations
  • Exploring feasibility before spec-driven commitment

Key Findings

Where spec-driven excelled:

  • Architecture (+3.2 pts): Consistent package organization, separation of concerns
  • Documentation (+1.6 pts): Detailed READMEs with examples
  • Test Quality (+1.5 pts): More test files, benchmarks, integration tests

Where prompt-driven was competitive:

  • All 6 projects build and pass tests
  • 3.3x faster delivery
  • Simpler, easier to understand initially

Biggest spec advantage: Linkcheck project (+26% quality) due to concurrent HTTP handling, multiple output formats, and complex edge cases.


Study Limitations

All projects were greenfield implementations (starting from scratch). Spec-driven advantages likely compound further for:

  • Enterprise/large codebases (50k+ LOC)
  • Team development (specs as living docs)
  • Incremental features (adding to existing systems)
  • Regulatory/compliance requirements
  • Long-term maintenance needs

Projects Evaluated

  1. URL Shortener - CLI for URL shortening with local JSON storage
  2. Linkcheck - Markdown link validator with concurrent HTTP checking
  3. Git Hooks Manager - Config-based git hooks installer
  4. Env Validator - Environment variable schema validator
  5. API Mock Server - OpenAPI-based mock HTTP server
  6. Cron Parser - Cron expression parser library

See full report for detailed per-project breakdowns, code samples, and raw metrics.


Links

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