Agentic Gatekeeper
Hey HN, I built Agentic Gatekeeper, a headless pre-commit hook baked into the VS Code Source Control panel that autonomously patches code before you commit it. The Problem: Whether I'm writing code manually or letting LLMs (Cursor/Copilot) generate it, keeping logic strictly in pace with local project rules (like CONTRIBUTING.md or custom architecture guidelines) is tedious. Standard linters catch syntax, but they don't catch business logic or state "You must use the Fetch wrapper for API calls in this folder". How it works: When you stage files and trigger the hook, the extension spins…
Agentic Gatekeeper launched on February 24, 2026 with 3 votes, #3,487 of 16,628 launches that month and more than 50% of that year's launches.
What it does
Stop breaking the build. Agentic Gatekeeper is an AI pre-commit hook that autonomously applies your project's rules before you commit. It evaluates staged files and auto-patches them to enforce 100% logic, style, and architecture compliance.
Extension for Visual Studio Code - The industry's first Agentic Rule Enforcer. Automatically compare your Project Ruleset against staged changes and apply full-file patches using Claude, GPT, Qwen, and DeepSeek. Stop technical debt before it hits your 
Write rules in plain English → Stage your code → The Gatekeeper auto-patches violations before you push. Teams invest heavily in documenting their engineering standards — architecture decisions, security guardrails, coding conventions — in files like CONTRIBUTING.md , ARCHITECTURE.md , or AGENTS.md . But nobody enforces them . Whether code is written by a human or generated by an AI assistant like Copilot, rules silently drift, technical debt compounds, and PR reviews turn into a battlefield of repeated feedback. Agentic Gatekeeper fixes this. It reads your Markdown rules, cross-references them against your staged code, and auto-patches violations before you commit — turning your docs from…from marketplace.visualstudio.com
In the maker’s words, at launch
TLDR: Documentation like READMEs and ARCHITECTURE.md files are passive and easily ignored, leading to repetitive PR reviews and technical debt. I built Agentic Gatekeeper to turn these Markdown docs into active, auto-patching git-hooks. The extension audits your staged code against your project's rules and uses AI to…
Does a similar job
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ReplicasJun 2026 · replicas.dev · ▲239Hey HN! I'm Connor, creator of Replicas. I'm a heavy Codex/Claude Code user, and I wanted to hand off tasks to agents like I would to an engineer - kick something off before work, let it scaffold while I'm at lunch, even come back to a ready PR. The problem: existing alternatives use workspace VMs that are black boxes. I have no access to any of them - they can't run tests, read logs, or use tools like the Playwright MCP (which I use to verify agents actually fixed what they claim to fix). Replicas gives agents real cloud workspaces where they can: - Run your test suite and read the…
Github Copilot Agent Mode2025 · github.blog · ▲267Agent that implements a task/issue + runs in the background
Context GatewayMar 2026 · github.com · ▲220We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…
Git for AI AgentsMay 2026 · github.com · ▲129hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…
Progress AI ObservabilityAug 2026 · telerik.com · ▲168Hi HN! We’re the team behind Fiddler, and we recently built an Agent Cache feature. It works by capturing an LLM request/response pair and, once caching is enabled, serving subsequent matching calls locally so duplicate requests never hit the provider. It’s meant to reduce three pains that show up together in agent development: token cost, feedback-loop latency, and output non-determinism. We’d love to hear your thoughts.
Real-time dashboard for Claude Code agent teamsApr 2026 · github.com · ▲77This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output. A few interesting learnings from building and using this: - Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks - Hooks provide a lot more useful info than OTEL data - Claude's jsonl files provide the full picture - Lifecycle management of MCP processes started by plugins is a bit kludgy at best The biggest takeaway is…
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