XHawk 0.99 - Transform Coding Sessions & Code into a System of Context

Hey Product Hunters! 👋

I’m Puneet Singh, Co-founder of XHawk.

Today, we’re finally dropping something we’ve been obsessed with: System of Context. The AI-native knowledge index that ensures you and your coding agents never have to "start from zero" ever again. 🚀

Engineering knowledge shouldn't live in scattered coding sessions or outdated READMEs. We built XHawk to turn your code and AI interactions into a live, indexable source of truth. By automatically syncing every AI coding session and git commit into a real-time knowledge base, we’ve created the shared memory your engineering org has been missing.

Why "System of Context" is a must-have for AI-native teams?

⚡ Zero-Config, 60-Second Onboarding We hate bloat as much as you do. Run xh init and you’re live in less than a minute. Your sessions sync on every git commit, get indexed instantly, and are served via our MCP server. Getting full context into a fresh Claude session takes less than 60 seconds. Period.

🧠 AI-Native Memory Every session with Claude, Codex, or Gemini becomes a permanent asset of your engineering team. Now you don’t just capture the final code; you capture the reasoning, prompts, and intent behind it. It compounds every day.

🧩 Living Knowledge Graph Stop hunting for the "why" behind a change. Watch your code, docs, and decisions auto-link into a unified, searchable index that evolves every time you git push.

🛡️ Kill the Hallucinations AIs fail when they lack specific knowledge. XHawk feeds your agents "negative knowledge" (what not to do) and cold, hard facts from your repo’s real index to stop hallucinations before they start guessing. Think of it as "Context7" for your internal libraries and source code.

🚀 Documentation that actually works Stop writing docs that expire in an hour. XHawk builds context directly from the work itself—PRs, agent sessions, and code ASTs—keeping everything current in real-time.

🛤️ Beautiful Learning Paths No more manual onboarding. We perform deep research on your codebase to automatically generate structured learning paths. It maps out how your systems interact, so any developer (human or AI) can get up to speed in minutes, not days.

📄 The "AGENTS.md" Standard Stop re-teaching your stack. XHawk generates and maintains AGENTS.md and CLAUDE.md files for every relevant folder in your source code —living manifestos of your project’s patterns, "negative knowledge" (what NOT to do), and architectural guardrails. It’s the ultimate cheat sheet that makes every LLM session hit the ground running.

Stop re-explaining your codebase to your LLM 🛑

Since our private beta, we’ve seen teams reclaim massive amounts of dev time and millions of tokens by letting XHawk handle the "lore" of their codebase. We’re here to help you move from fragmented silos to high-velocity, AI-augmented workflows. Our mission is simple: make your SDLC agents stateful. No more forcing your agents to grep through source code and reconstruct your foundational architecture from scratch every single time they start a task.

I’m hanging out in the comments all day! I’d love to hear how you’re currently managing context for your coding, review, planning, testing and SRE agents.

We are so grateful to the Product Hunt community for your support. We’ll be here all day to answer your questions and hear your feedback!

Would you like us to add any specific features?

Hey PH fam 👋

Big congrats to @puneet_singh25and the XHawk team on the launch!

This one resonates with me personally. I've watched Puneet obsess over this problem, and the more I dug in, the more I realized how real the pain is.

Here's something most dev teams haven't fully reckoned with:

Every time a new coding session starts, your AI forgets everything.

The reasoning behind that architectural decision. The three approaches you tried before landing on the right one. The "don't ever do this" lessons burned into your codebase. All of it vanishes. And someone, somewhere, has to reconstruct it from scratch. Every. Single. Time.

That's the problem XHawk is actually solving. Not just docs. Not just search. The intent behind the commits.

A context layer independent of any single LLM keeps your engineering knowledge portable and future-proof.

When the reasoning lives alongside the code permanently, something shifts. Your codebase stops being a mystery to new teammates and agents. Your best thinking compounds instead of evaporating.

That's a different kind of product. And I think it's the right one for where AI-native development is heading.

Go show Puneet some love and drop your questions below ⬇️

Just loved the concept! Btw have you seen any surprising use cases emerge during the private beta that you didn’t initially design for??

Tired of giving context to claude code every time I start something new. The onboarding for XHawk seems quite simple and straightforward. Definitely gonna give this a try! All the best for the launch, Puneet and team.

Congratulations

Used it and loved it!

Really like that I can see all my claude chats in one place and create a learning path from my repos

I like that sessions sync on their own after each commit. You end up with a record of how features were actually built, not just the finished code.

Hey Puneet, great concept and congratulations on the launch. It’s a much-needed tool for projects with lots of devs and complicated details. Do you have any features lined up to optimize token usage when connecting to MCPs, since over time the context might get bloated?

Really interesting idea 👀 One of the biggest problems with coding agents is losing the context behind how something was built. Capturing sessions alongside commits feels like a missing piece 🧠 Curious to try this with our repos 🚀