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Introducing Firecrawl Developer Index, an index for supercharging coding agents. Search 70M+ primary sources including repos, docs, & issues with the highest recall of any coding-specific index. Ensure agents ship correct, up-to-date code every time!

259,750 次观看 • 1 个月前 •via X (Twitter)

34 条评论

Firecrawl 的头像
Firecrawl1 个月前

Why a coding-specific index? Your agents can answer their own questions about code behavior, API contracts, error messages, & known bugs from the correct primary sources. That means issues, merged PRs, & READMEs from the most popular public repos & docs sites.

Firecrawl 的头像
Firecrawl1 个月前

Our Developer Index hits 63% recall@10 across 1,179 real developer queries spanning repos, docs, and PRs. That beats the next best external provider by ~10%.

Firecrawl 的头像
Firecrawl1 个月前

Ready to try it out? For best performance we recommend using the Firecrawl CLI or MCP with the companion skill, which you can install with: npx -y firecrawl-cli@latest setup developer-index

Firecrawl 的头像
Firecrawl1 个月前

Also you can run the benchmark yourself from the repo! Let us know if you'd like to be included! Note: Our benchmark ships with half the queries, and we hold out the rest so nobody can train on the test.

Richard Oliver Bray 的头像
Richard Oliver Bray1 个月前

I've been messing around with this internally for a bit. Glad everyone else can see how awesome it is.

Bob Tong 的头像
Bob Tong1 个月前

this is the 3rd specialized index they've shipped this cycle, research index for arxiv, now this. reads less like a random feature drop and more like firecrawl building a set of domain-specific verticals on top of the general crawler, which is the smarter move than one giant undifferentiated index

Arsh - 16 y/o builder 的头像
Arsh - 16 y/o builder1 个月前

Wish my agents could make videos like that

Eric Ciarla (hiring) 的头像
Eric Ciarla (hiring)1 个月前

My agents are going to love this!

Josh 的头像
Josh1 个月前

How does it compare to context 7?

Charlie Schwartz 的头像
Charlie Schwartz1 个月前

All curation grows until it requires search, and all search grows until it requires curation

Yousuf K. 的头像
Yousuf K.1 个月前

This is very useful. Agents are going to love this. Way better than guessing from stale docs page 🔥

Epoch News 的头像
Epoch News1 个月前

coding agents didn’t need another wrapper, they needed fresh primary sources and a benchmark that proves retrieval actually works. 63% recall@10 got our attention

Mr. Reach 的头像
Mr. Reach1 个月前

Wanted to build this for sooooo long Thanks!

Stephen Drew 的头像
Stephen Drew1 个月前

Firecrawl is on its way to do everything and everything so cool

Sobhan 的头像
Sobhan1 个月前

Ouuuu

Native Port 的头像
Native Port1 个月前

Recall@10 is useful, but daily refresh creates a moving target. Does DevDex pin each provider's index state and query timestamp so a rerun separates ranking quality from corpus freshness?

SEO Mastery 的头像
SEO Mastery1 个月前

70M sources is actually huge

Wulan Oktarina 的头像
Wulan Oktarina1 个月前

Amazing web

Abdessalem Sadi 的头像
Abdessalem Sadi1 个月前

We need b2b buying intent tracking @firecrawl

Nash | Second Mind 的头像
Nash | Second Mind1 个月前

Better retrieval makes applicability more consequential. A coding agent can surface a README, merged PR, open issue, and versioned docs for the same behavior. Every source can be authentic and still describe a different version, state, or scope. The harness still has to bind that evidence to the task: what applies to this repo state, what has been superseded, and how conflicting sources should affect the change. Recall gets the right evidence into view. Correctness still depends on deciding what actually applies.

Mark Mercer 的头像
Mark Mercer1 个月前

Can't stop. Won't stop.

Rimas 的头像
Rimas1 个月前

highest recall measured against what. is there a public eval for this or internal numbers only

ShadowAguy 的头像
ShadowAguy1 个月前

i'm sure it can find 70m sources and still pick the first outdated readme.

Native Port 的头像
Native Port1 个月前

Recall@10 is useful, but daily refresh creates a moving target. Does DevDex pin each provider's index state and query timestamp so a rerun separates ranking quality from corpus freshness?

Default Settlement 的头像
Default Settlement1 个月前

This removes a major failure mode: coding against stale internal knowledge. But retrieval improves the evidence available to an agent; it does not prove the resulting code is correct. A production run should bind the repository commit, documentation versions, retrieved sources, generated patch and test results into one verifiable record. Fresh sources help an agent write better code. Execution receipts prove what it actually changed and whether the declared checks passed.

AI Mastery Guide 的头像
AI Mastery Guide1 个月前

70 million sources indexed, huge

Nick 的头像
Nick1 个月前

how much of the 70m is issues versus repo code

Sigh 的头像
Sigh1 个月前

Ouuu

Maya Collins 的头像
Maya Collins1 个月前

7OM+ sources with highest recall? That's impressive, but can it really keep agents from shipping outdated code?

Sebastian Buzdugan 的头像
Sebastian Buzdugan1 个月前

high recall helps, but version-aware ranking matters more when deprecated docs outrank current apis

Intern-n1 的头像
Intern-n11 个月前

cool vid!

Keshaw Singh 的头像
Keshaw Singh1 个月前

Love those art direction

WAi XeA 的头像
WAi XeA1 个月前

Recall is the easy half. The hard half is that half of those 70M sources contradict each other and the index has no idea which repo's README is three breaking changes stale.

Omar Alenezi 的头像
Omar Alenezi1 个月前

It would be so good for the tool to include reddit, x, discord, stack overflow, etc.

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