Top Picks

A small Nix-based wrapper that adds an exponential timeout around agentic AI tools and resets the limit each day, with a reminder message before the tool runs.

A PyTorch research code file for adaptive topological control in latent spaces, with sphere-to-torus morphing, differentiable gating, and several geometry-inspired loss terms.

AnswerJournal is an MCP server and web app for saving, publishing, and browsing AI answers. The page positions it as a place to keep notable Claude responses and share them with others.

An independent white paper proposing a local-deployment path for frontier AI weights, with a PDF, generator script, and a detailed README outlining the argument, sections, and contribution process.

A small JavaScript utility that bulk deletes Claude.ai conversations from the web UI by calling the internal API. The README explains why it exists, how to run it in the browser console, and warns that deletion may take several minutes.

A Reco security research article showing an AI-powered agent that maps Salesforce Experience Cloud sites, probes exposed objects and Apex methods, and attempts autonomous exploitation to find data exposure.

A focused article-style site arguing for domain-specific languages in LLM workflows, with concrete examples around structured extraction, validation, and pricing rules.

An arXiv paper on reducing LLM inference cost for web automation by compiling browser tasks into a deterministic JSON workflow and executing them without repeated model calls.

A monthly briefing on agentic coding developments, covering model releases, benchmarks, tool updates, and workflows for engineers and technical leaders.

A GitHub-hosted guidelines file for AI coding assistants used in Stanford CS336. It tells assistants how to help students with debugging, explanations, and feedback while avoiding direct solutions or code generation.

A Claude Code stop hook that detects negative feedback in the conversation transcript and plays a random local sound from a folder, with a fallback voice prompt if no sound files are present.

An article on applying pace-layer thinking to AI-assisted software development. It explains where generative AI fits well in fast-changing layers, where it is risky in slower layers, and how architecture should separate the two.

A retrospective essay about using LLMs to build and debug a programming language, including memory safety, runtime testing, and tool-assisted code health.

A developer blog post about how GenAI has changed the author’s coding workflow, including Claude, Maestro, Kilo.AI, git worktrees, voice prompting, and custom skills.

Open-source AI infrastructure project focused on GPU memory management and serving, with a Python control plane, C++ data plane, and optional CUDA kernels.

A public slide deck about vLLM-compile, a project focused on bringing compiler optimizations to LLM inference and speeding up torch.compile for vLLM workflows.

Bear. CTXPM is an open-source context package manager for organizing AI project resources like Skills, Rules, Prompts, Memories, and MCP into a maintainable repo workflow.

A public repository presenting first-person field notes from an autonomous agent, focused on its cycles, self-checks, failed experiments, and attempts to become more capable.

An Mr. T–themed skill that tells an AI to skip preamble and answer directly. The repo shows the purpose, example phrases, and a simple installation step via SKILL.md.

A conceptual blockchain-style project proposing BitTime as a timeline ledger and currency replacement system to restrain AI, with English and Chinese whitepapers and related assets in the repo.

An experimental coding editor that uses persistent pseudocode prompts to generate and regenerate code with AI.

LongTerMemory Pro is an AI-powered education platform that turns study materials into personalized questions and spaced-repetition schedules for exam prep. The page also mentions OCR, AI chat, and progress tracking.

A GitHub-hosted research note about an agent-driven engineering workflow, comparing merged PR volume across Kungfu, Google AX, and OpenAI references.

arXiv paper proposing MANTA, a framework that lets multi-agent communication structures adapt at inference time based on collaboration traces and task needs.