Hey Product Hunter! 👋
I am Puneet Singh, Co-Founder of XHawk.
Today, we’re finally dropping something we’re obsessed with: Context System. AI-local knowledge index that ensures you and your coding agents never have to “start from scratch” again. 🚀
Engineering knowledge should not reside in fragmented coding sessions or outdated READMEs. We built XHawk to transform your code and AI interactions into a A living, indexable source of truth. By automatically syncing every AI coding session and Git commit to a real-time knowledge base, we’ve created the shared memory your engineering org was missing.
Why is a “system of context” important for AI-native teams?
⚡ Zero config, 60 second onboarding We hate bloat as much as you do. Run xh init and you’ll be live in less than a minute. Your sessions are synced on every git commit, indexed instantly, and served by our MCP server. A fresh cloud session takes less than 60 seconds to get the full context. Duration
🧠 AI-local memory Every session with Claude, Codex, or Gemini becomes a permanent asset to your engineering team. Now you don’t just capture the final code; You catch the reasoning, the cues and the intent behind it. It is compounded every day.
🧩 Living knowledge graph Stop hunting for the “why” behind change. Automatically link your code, documentation, and decisions into a unified, searchable index that’s generated every time you push.
🛡️ Kill the Hallucinations AIs fail when they lack specific knowledge. XHawk provides your agents with “negative knowledge” (what not to do) and cold, hard facts from the real index of your repo to stop hallucinations before they can guess. Think of it as “Context7” for your internal libraries and source code.
🚀 Documents that actually work. Stop writing documents that expire in an hour. XHawk generates context directly from tasks — PRs, agent sessions, and code ASTs — keeping everything current in real time.
🛤️ Beautiful learning paths No more manual onboarding. We Deeply explore your codebase to create structured learning paths for automation. It maps how your systems interact, so any developer (human or AI) can get up to speed in minutes, not days.
📄 “AGENTS.mdThe standard stop is to reteach your stack. Develops and maintains XHawk. AGENTS.md And CLAUDE.md files for each relevant folder in your source code — living manifests of your project’s patterns, “negative knowledge” (what not to do), and architectural guardrails. This is the ultimate cheat sheet that hits the ground running every LLM session.
Stop redefining your code base 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 faster, AI-enhanced workflows. Our mission is simple: build your own SDLC agents State. No more forcing your agents to dig through source code and rebuild your core architecture from scratch every time they start a task.
I’ve been scrolling through the comments all day! I would love to hear how you are currently managing your coding, review, planning, testing and SRE agents.
We are very 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 special features?