

Search 70M+ GitHub READMEs, issues, pull requests, and documentation from one endpoint. The highest recall of any coding-specific index, with no API key needed to start. The index is live now at /v2/search/developer on the API, CLI, and MCP. Ready to integrate with all your favorite coding agents!
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Firecrawl Developer Index is a specialized search engine built for coding agents, indexing over 70 million primary-source artifacts—GitHub READMEs, issues, merged pull requests, technical documentation, and OpenAPI specs—into a single, queryable endpoint. It's live now at /v2/search/developer and accessible through the Firecrawl API, CLI, and MCP server, with no API key required to start. The index is refreshed daily, ensuring agents retrieve today's threads rather than last quarter's stale answers.
The index draws exclusively from READMEs, issues, merged pull requests, docs, and OpenAPI specs—not scraped web pages. This means results come from the actual repositories and documentation where answers live, with source types clearly labeled (e.g., issue:sidekiq/sidekiq#1471).
Instead of returning links that require a second scrape, the index returns matched passages directly as markdown. The relevant snippet—like the exact code fix in a pull request—is delivered inline, saving agents a round-trip request.
You can query the index the way you'd ask a human. Paste an error message like "why is my retry backoff not firing on 429" and get the thread that solved it, ranked by relevance across issues, PRs, and docs.
Filter results by type, repository, language, topic, license, or minimum stars—narrowing 70M+ artifacts down to a single repo like vercel/next.js. Most sources are indexed within a day of publishing, keeping the index current.
The highest recall of any coding-specific index—scored deterministically on 1,179 real developer queries.
Firecrawl Developer Index achieves a Recall@10 of 0.63 across all tracks on the DevDex benchmark, outperforming Firecrawl Search (0.58), Parallel (0.57), Mintlify (0.54), Exa (0.54), and Context7 (0.17). The benchmark uses no model judge—results are scored deterministically—and the index even outperforms native web search (0.45) while being purpose-built for coding contexts. With no API key needed to start and one-line integration via npx firecrawl-cli setup developer-index, it's designed to drop directly into existing agent workflows.
You're building or using coding agents that need precise, source-level answers from GitHub and technical docs, and you want the highest-accuracy retrieval available without managing multiple search integrations. It's also worth exploring if you're frustrated with web-search results that return landing pages instead of the actual issue thread or PR that solves your problem—or if you need repo-scoped, filterable search across 70M+ primary artifacts with daily freshness.
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