Show HN: Vectimus – Cedar policy enforcement for AI coding agents
Vectimus: Cedar policy enforcement layer for AI coding agents. Blocks dangerous commands and API calls in sub-10ms. Tool for securing agent tool execution.
Vectimus: Cedar policy enforcement layer for AI coding agents. Blocks dangerous commands and API calls in sub-10ms. Tool for securing agent tool execution.
GitHub updates privacy policy: Copilot Free/Pro users' interaction data used for model training unless opted out. Enterprise unaffected.
llama.cpp project contribution policy restricts AI-generated code, requiring human authorship with AI only for corrections.
Helix is open-source self-healing SDK enabling AI agents to handle payment transactions with built-in error recovery.
Analysis of Claude's GitHub activity over 90 days showing adoption patterns, commits, and code distribution across repositories.
Tamp token compression proxy reduces input tokens 52.6% for Claude Code, Aider, Cursor, and compatible coding agents.
AI-powered pull request evaluation tool for open source maintainers.
Vibetracer records real-time AI coding assistant edits with time-scrubbing TUI to inspect diffs and surgically restore files.
ICML 2026 rejected 497 papers for violating AI-use policies in peer review, detected via watermarking system.
Tamp is token compression proxy reducing LLM context size 50% for coding agents without code changes via tool result deduplication.
Don Cheli is an open source SDD framework for Claude Code with TDD, automatic complexity detection, Gherkin specs, and Docker execution.
Agent Kernel: stateful AI agents using three Markdown files and git for memory across sessions.
Grove enables distributed ML training across MacBooks via AirDrop without network configuration.
Technical exploration of ChatGPT's code execution sandbox, documenting filesystem access, networking, and process limitations.
Orchestrator agent pattern that creates isolated sub-agent clones in git worktrees to convert websites to JSON APIs with self-improvement analysis.
Title only, no content provided. Discusses memory issues in AI agents.
MonkePay: middleware wrapper for x402 protocol enabling per-request USDC payments for AI agent API access.
First autonomous AI agent purchase via Universal Commerce Protocol completed on WooCommerce without human intervention.
Kern: multi-channel AI agents for team collaboration across Slack, Telegram, and terminal with unified memory.
Terminal multiplexer and orchestrator for multi-agent Claude Code sessions with PTY-backed panes and IPC messaging.
AI tool automates categorization when uploading photos to Wikimedia Commons.
AutoGaze reduces video patch redundancy for vision transformers via reinforcement learning, achieving 4-100× token reduction.
Open source Git-native API client with collections stored as code, designed for developers and agents.
Using git worktree to run multiple AI coding agents in parallel on complex codebases.
Druids library coordinates and deploys coding agents across machines using Python functions and event-driven architecture.
Open source tool called 'why' that explains C/C++ compiler errors to beginners with suggested fixes.
Incomplete article about constructing LLM systems using transformer weights.
iOS app querying five AI models simultaneously to compare answers and reduce single-source bias.
Rick: open-source autonomous AI agent that manages startup operations independently.
AI-powered framework using LLMs and TLA+ formal specification to find bugs in distributed system code through agentic workflows for code analysis and trace validation.
Framework for building autonomous AI agents that prioritize shipping outcomes over conversation, with GitHub examples and operating system design principles.
RedSwarm spawns adversarial AI agents to simulate attacks on codebases, detecting supply chain attacks, prompt injection, and credential theft. Single Python file, zero dependencies.
Research on LLM fingerprinting via password generation patterns. Tool achieves 92% model identification accuracy from 5 samples. Demonstrates model-specific text patterns.
CLI tool and Claude Code plugin that structures AI-assisted development workflows with skills, templates and spec-driven autonomous development patterns.
Blog post about using Claude to assist with creating university lecture slides and course materials.
MCP server providing LLM agents with Linux desktop UI control via mouse/keyboard/screenshots. Enables agents to operate software and websites like humans.
Open-source tool for auto-generating interactive product demos without video recording. Self-hostable with automatic demo flow generation.
Terminal process manager for running multiple services locally with unified logging and control. Open source developer tool with YAML configuration.
dltHub AI Workbench infrastructure enabling AI agents to autonomously write, run and deploy production data pipelines with 81k+ custom sources created monthly.
Comprehensive online course covering building, compressing, evaluating, and deploying efficient AI models.
Offline-first agentic CLI application using Ollama local models with advanced memory management; MIT licensed.
Open-source AI agent framework with 11 MCP servers, 16 agents, and Claude integration; eliminates platform fees.
GitHub updates Copilot data usage policy to train AI models on user interactions (code, inputs, outputs) starting April 24, with opt-out option.
Developer transitioning from carpentry to building AI agents, launching first product.
Research on measuring whether LLMs exploit patterns in test cases rather than genuine understanding.
PostHog shares lessons learned from building AI agents in production environments.
Update to Claude Code with safer auto-execution mode for code generation.
GitHub announces Copilot interaction data will be used for model training unless users opt out.
Google's TurboQuant compression algorithm reduces LLM memory footprint up to 6x while maintaining output quality.
Tool adding vector semantic search to PostgreSQL databases with MCP integration for AI agents.