Trending

arXiv paper introducing ScientistOne, an autonomous research system built around a chain-of-evidence framework to keep claims traceable and audit research outputs for verifiability.

A Hermes plugin that uses adversarial LLM clones to confront sandbagging and reward-hacking behavior during agent sessions.

Open-source Python project for execution-first multi-agent workflows built around YAML Charterfiles, runtime schema enforcement, and a boss-agent hierarchy. The README includes install commands, a short usage tour, and a small code example.

A playable text-adventure that teaches Claude Code through real prompts, skills, and agent workflows.

A Vite plugin that obfuscates client-side code in a way meant to make LLMs refuse de-obfuscation attempts. The README shows the project’s purpose, a usage note, and an example of the transformed output.

A blog post about Idle Frontier, a clicker game about building a frontier language model in 1,000 days, and the author’s experience making it with Claude, Godot, and Aseprite.

A research article describing an empirical runtime-monitoring approach for multi-turn LLM agents, backed by 3,175 runs across four benchmarks. It also points to an open-source implementation, state-harness, with Rust/Python support, LangGraph and CrewAI adapters, CLI tooling, and OpenTelemetry export.

JFrog Security Research investigates a batch of SQLite CVEs and argues many are AI-generated or unsupported by the source code and PoC testing. The post includes a comparison matrix, methodology, and detailed breakdown of several alleged vulnerabilities.

A long-form essay about why AI coding software factories break down, with discussion of harness engineering, benchmark limits, and safer ways to use coding agents.

Open-source tool for removing refusal behavior from open-weight transformer language models by identifying and orthogonalizing refusal directions in activation space.

A RequestRocket article mapping the AI agent access-control stack across authentication, authorization, governance, identity, gateways, and runtime egress control. It explains how the categories differ, when each fits, and where RequestRocket sits in the landscape.

Monogram is an AI app that turns prompts into an interactive visual interface instead of plain text. The page shows a live product pitch, demo entry points, and example use cases like recipes, movies, birthday planning, restaurant search, and EV comparisons.

An in-depth Medium post from IronBee about how a verification loop affects AI coding agents, using Web-Bench and comparing DeepSeek with Claude Opus on a real web app task.

arXiv paper on a cache-merging method for multi-agent latent reasoning, framing KV-cache composition as a convergent replicated state with deterministic merging.

A live, data-driven dashboard that tracks whether AI expansion is still intensifying or starting to cool, using infrastructure spend, data-center power, sovereign commitments, and supply-chain bottlenecks.

A free browser-based tool that claims to detect whether text is AI-generated, with example inputs, inline explanations, and FAQ notes about privacy and local processing.

Open-source local AI character platform that runs with llama.cpp and offers CLI, TUI, and a simple web server for character roleplay without cloud accounts or subscriptions.

A web app that generates product or project ideas by pairing familiar tools with an added agent layer. The page frames it as an idea generator for “copy idea” style prompts, with a simple call to action to pull the lever for a new departure.

A macOS terminal workflow that uses local speech-to-text plus the Pi coding agent to turn spoken requests into shell commands or terminal answers.

Anthropic research report on how people use Claude Code in practice, based on a large privacy-preserving analysis of session data. It covers task types, division of labor between user and model, and how domain expertise affects outcomes.

A blog post describing an evaluation harness for comparing agentic coding tools and prompts across realistic SWE tasks, with token-cost results and model-specific behavior notes.

An open-source Python project that uses a local 7B diffusion language model to make real-time Gymnasium decisions with zero training. The README shows install steps, a code example, and benchmark-style results across several environments.

A shareable report for AI coding usage that summarizes how you work with tools like Claude Code, Codex, and Cursor, with sign-in via GitHub and an option to get printed copies.

LEVI is a harness-first evolutionary framework for code and prompt optimization. It focuses on reducing LLM cost with diversity-preserving search, role-aware model routing, and a proxy benchmark, and presents comparative results against several existing systems.