Zaira Labs Guide
The developer tool guide built for AI coding agents
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Zaira Labs Guide - The developer tool guide built for AI coding agents

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Your coding agent is choosing databases, frameworks, APIs, and libraries. The information behind those choices is often stale or written to sell. Zaira Guide gives agents verified facts and decision logic instead. It now covers 900+ tools, including tradeoffs, alternatives, constraints, and agent-readiness scores. Available on the web, through REST, and over MCP. Free, no signup.

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Maker
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Hey Product Hunt, Paul here, co-founder of Zaira Labs. AI coding agents choose tools in nearly every session. The strange part is what they’re choosing from. Stale training data, search results, and vendor copy. Docs explain how a tool works. They rarely explain whether it fits the job. Saben and I hit this problem while building with agents ourselves, so we built the Zaira Guide. It gives agents verified decision data for 900+ tools, including when to use each one, when to avoid it, alternatives, constraints, and a Base Score against the open Zaira Standard. Try it on the web, through REST, or over MCP. No signup. No key. Then pick the tool you know best and look for what we got wrong. If you find something, send us the source. We’ll check it and fix it here. What tool should we add next?

One thing I'd love to see is a "last verified date" shown right on each tool card so I know at a glance how fresh the tradeoffs and agent-readiness scores are, especially for fast-moving things like AI SDKs.

Maker

Good call. The date already lives in every entry, so surfacing it on the card face is the kind of thing that lands as a fast follow, not a rebuild. On the list. And you're right that fast-moving AI SDKs are where it matters most.

Thanks for the feedback, !

 Thanks for the suggestion, we went ahead and made the update just now. Live already!

Would love to see a way to submit corrections or flag outdated info directly from the web view, since things move fast and a community-driven feedback loop would keep the verified facts actually verified. Maybe a tiny "report issue" link on each tool's page that lets you cite the source you're contesting it with.

Maker

Hi! Thanks for checking us out.

This is exactly how we want it to work. Right now the loop is manual: find something wrong, send us the source, we check it and fix it here. An inline "report issue" link with a field for the source you're citing is on the list. The source requirement you described stays non-negotiable. A correction without evidence is just another opinion.

 Thanks for the suggestion, we do have a report an issue link at the bottom of each page but it wasn't state aware. I just updated that so it pulls the page info in for easy reporting. Quick fix. We are working on more integrated issue reporting for the future. Thanks!

Tried it for a Node.js side project and the tradeoff notes for Postgres vs SQLite actually changed what I picked. Love that it is free with no signup, solid resource.

Maker

That's the exact use case,  , glad it helped. Postgres vs SQLite is a good example: the right answer depends entirely on the constraints, and most sources just tell you one is "better." The guide stays free with no signup.

honestly the agent-readiness scores are such a smart idea, finally a way to tell which docs are actually usable versus the ones that just look pretty. and shipping it on MCP without forcing a signup is a really thoughtful move for adoption.

Maker

Thanks Faruk. The no-signup-on-MCP call was deliberate. If the point is an agent querying us mid-session, a key wall defeats it. The data should be there when the agent reaches for it, not behind a form.

Love that this is free and no signup needed. One thing that would be huge for me: a way to export or share the "decision logic" for a specific stack so my whole team can see why the agent picked what it picked. Right now I trust the recommendation, but I can't easily pass that reasoning along to teammates who didn't run the same query.

Maker

That's a great idea, ! We don't have that today, but it's going on the list. The reasoning is already queryable over web, REST, and MCP, so it's portable in principle. A clean way to export the decision logic for a whole stack and hand it to teammates is a real gap. Filing it as a fast follow.

love that it calls out stale info and sales pitches as the actual problem, not just "AI picks bad tools." the agent-readiness scores and tradeoff breakdowns are the kind of signal that makes this useful rather than another rankings site.

Maker

Thanks ! The "not a rankings site" part is the whole point. A ranking tells you what's popular. It can't tell you whether a tool fits your constraints, or whether an agent can actually drive it. That's the gap, and it's why the scores are evidence-backed and reproducible instead of a leaderboard.