SPEC_DRIVEN_DEV.v1.0

What comes BEFORE the prompt?

Spec-Driven Development methodology for teams using AI tools. Write detailed specifications first, then let AI build exactly what you need—no bloat, no surprises.

SECTION_01

The AI Code Quality Crisis

Your developers are using Copilot, Cursor, and Claude Code. But are they shipping better code?

STAT_01
1.7×
FACTOR

More Issues in AI Code

AI-generated code has 1.7x more issues than human-written code, according to GitClear research.

STAT_02
38%
INCREASE

Say Reviews Take MORE Time

38% of developers report AI code review takes MORE effort than reviewing human code.

TAC_01
Tactical (What most teams do)

"Prompt Engineering"

  • Vague requirements lead to over-engineered solutions
  • AI guesses at edge cases and security needs
  • Code reviews become debugging sessions
STRAT_01
Strategic (The DownCold Way)

Spec-First Development

  • Detailed specs define EXACTLY what to build
  • AI generates focused, testable code
  • Code reviews validate against specs, not guesswork
SECTION_02

The Spec-Driven Development Process

Three steps to transform how your team works with AI tools

1
STEP_01

Write the Spec

Define goals, boundaries, interfaces, and expected behavior. Make requirements testable and unambiguous.

spec.md
2
STEP_02

Generate Tests

Give the spec to AI. Let it generate comprehensive test cases that validate the requirements.

spec.test.ts
3
STEP_03

Build the Code

AI writes implementation to pass the tests. Code review focuses on spec compliance, not guessing intent.

implementation.ts
OUTPUT_METRICS

The Results

40%
METRIC_01

Less code review time

60%
METRIC_02

Fewer security issues

Zero
METRIC_03

Feature bloat surprises

100%
METRIC_04

Testable requirements

SECTION_03

Common Questions

FAQ_01

Does this slow down development?

No—it speeds it up. Writing specs takes 15-30 minutes. Debugging vague AI output takes hours. Teams report 40% faster delivery once they adopt spec-first workflows.

FAQ_02

We already write tickets. Isn't that enough?

User stories and tickets are for planning. Specs are for implementation. A spec defines boundaries, edge cases, error handling, and testable acceptance criteria—level of detail AI needs to build correctly.

FAQ_03

What if requirements change mid-sprint?

Update the spec, regenerate tests, let AI adjust the code. Because everything flows from the spec, changes are systematic—not ad-hoc prompt tweaks across multiple files.

FAQ_04

How is this different from TDD?

Spec-Driven Development includes TDD but starts earlier. Specs come BEFORE tests (which come before code). It's the missing methodology for "what comes BEFORE the prompt."

FINAL_CTA

Stop Guessing. Start Specifying.

Get the free SDD Starter Kit and learn the methodology that reduces AI code review burden by 40%.