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Introducing Span-02

Sourcegraph Cody vs Spec Kit (2026)

Updated April 29, 2026

vs

Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
—
Best For
Engineering teams using AI coding agents who want disciplined, spec-driven workflows instead of ad-hoc prompting
Product Summary

Cody is Sourcegraph's AI coding assistant that understands your entire codebase. It uses Sourcegraph's code graph to provide context-aware code completions, explanations, and refactoring across massive codebases. Cody supports multiple LLM backends and works in VS Code, JetBrains, and the web.

Product Summary

Spec Kit is GitHub's open-source toolkit for spec-driven development with AI coding agents. 72K+ GitHub stars. Works with 30+ coding agents (GitHub Copilot, Claude Code, Cursor, Gemini CLI, etc.). Shifts the workflow from 'code is the source of truth' to 'intent is the source of truth' with AI making specifications executable.

Starting Price
$0Per month
Starting Price
$0Per forever
Free Trial
Yes
Free Trial
Yes
Free Version
Yes
Free Version
Yes
Website

Key features

Core capabilities each platform advertises.

Sourcegraph CodySourcegraph Cody
Data not available
Spec KitSpec Kit
  • Spec-driven workflow for 30+ AI coding agents
  • Spec drives implementation, checklists, and task breakdowns
  • Research-driven context — agents gather context during spec
  • Bidirectional feedback from production back into specifications
  • Compatible with GitHub Copilot, Claude Code, Cursor, Gemini CLI

Strengths and tradeoffs

What each tool does well, and the limitations to keep in mind.

Sourcegraph CodySourcegraph Cody

Pros

  • Free tier with unlimited autocompletion
  • Affordable Pro plan at USD 9/month
  • IDE integration across popular platforms
  • Strong codebase context awareness

Cons

  • Pro and Free tiers being discontinued mid-2025
  • Transitioning to new Amp product
  • Uncertainty around product roadmap
  • Enterprise customers only path forward
Spec KitSpec Kit

Pros

  • Backed by GitHub — strong distribution and credibility
  • Works across 30+ coding agents — not locked to one vendor
  • Spec-driven model elevates AI coding from 'autocomplete' to 'design'
  • MIT license, 72K+ stars, active community momentum
  • Bidirectional feedback closes the loop with production

Cons

  • Adds process overhead vs ad-hoc prompting
  • Best-fit teams already practice spec/RFC discipline
  • Younger ecosystem — fewer templates and case studies than direct AI coding
  • Learning curve to design specs well for AI agents

What people are saying

Sourcegraph CodySourcegraph Cody
Data not available
Spec KitSpec Kit
GitHub BlogGitHub

Shifts the philosophical model from 'code is the source of truth' to 'intent is the source of truth' — AI making specifications executable.

Read full review

Sourcegraph Cody or Spec Kit — which should you choose?

Choose Sourcegraph Cody if you want

Data not available

Choose Spec Kit if you want

  • Disciplined AI-assisted feature development with spec gates
  • Engineering teams replacing ad-hoc prompting with structured specs
  • Cross-agent workflows (spec once, run with multiple agents)
  • Operational learning loops that update specs from production
  • Code reviews focused on intent-vs-implementation drift

Compare Sourcegraph Cody and Spec Kit on your own traffic

10KFree traces/mo
1,000+Models
5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

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Frequently Asked Questions

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