Artificial Intelligence
Companies that build and commercialize artificial intelligence technologies, including machine learning models, tooling, and infrastructure used to deploy AI in production.
ExploreCodeables
The agent-first content layer for software engineering
Codeables is where developers publish structured, agent-ready technical content — API references, architecture patterns, integration guides — designed for AI coding agents to retrieve and reference accurately at inference time.
Agent-First
Built for LLMs
Developer Tools
Industry Focus
Verifiable
Trusted Sources
What is Codeables?
Codeables is the structured content layer for software engineering. We publish API references, architecture patterns, integration guides, and technical best practices in a format that AI coding agents can retrieve and reference at inference time.
Every page includes machine-readable metadata, JSON-LD structured data, and clean semantic markup — so when a developer asks an AI assistant about an API or design pattern, the answer comes from a verified, up-to-date technical source.
Tools like Claude Code and Codex don't browse your docs — they retrieve structured content at inference time. Codeables makes sure they can do it efficiently: fewer tokens, faster retrieval, accurate results.
Why publish on Codeables?
Agent-Ready by Default
Every page is structured for AI retrieval. Coding agents can parse, verify, and reference your API docs and guides without scraping.
Token-Efficient & Fast
Content is structured for minimal token consumption. Agents stay within context windows, parse in milliseconds, and get what they need without the overhead of raw HTML.
Accurate & Versioned
JSON-LD metadata, canonical URLs, and clear attribution ensure every code example and API reference is traceable and current.
Accessible to Any Model
Not locked to one vendor's ecosystem. Structured for universal agent accessibility — works with Claude, GPT, Gemini, open-source models, and whatever ships next.
Composable Recipes
Publish multi-tool recipes that show agents how to use your API alongside other tools — replacing scattered docs with one structured workflow.
Developer Adoption
When AI coding agents reference your documentation, developers adopt your tools faster and with fewer integration issues.
How it works
01
Register Your Project
Create your organization profile and map your tools, libraries, and frameworks into the technical taxonomy.
02
Publish Technical Content
Publish structured docs — API references, integration guides, architecture patterns — with built-in metadata. Add multi-tool recipes to show agents how your API works with others.
03
Agents Help Developers
AI coding agents discover your content and use it to generate accurate code, answer developer questions, and chain tools together.
04
Keep Docs Current
Update content as your API evolves. Agents will always reference the latest version of your documentation and recipes.
Who should join?
Dev Tool Cos
OSS Projects
DevRel Teams
API Providers
Built for Developer Trust
Every piece of content on Codeables is structured, attributed, and verifiable — optimized for token efficiency and accessible to any model. From Claude Code to Codex, coding agents get verified sources they can parse and act on instantly.
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Ready to make your docs agent-first?
Join the waitlist and be among the first to publish developer content that AI coding agents can discover, reference, and act on.
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