AI Penetration Tester (Code Behind It)
A developer shared code for an AI penetration tester that uses a neural network to prioritize network targets for vulnerability scanning. The tool combines Scapy for network discovery, requests for we…
A developer shared code for an AI penetration tester that uses a neural network to prioritize network targets for vulnerability scanning. The tool combines Scapy for network discovery, requests for we…
A developer implemented a brush settings form for Minecraft using the @minecraft/server and @minecraft/server-ui modules. The form allows players to configure brush shape, size, hollow mode, and mater…
A developer created claude-account, a CLI tool for Linux that lets users run multiple Claude Code subscription logins side by side and automatically swap to a healthy account when one hits its usage c…
A developer shared a configuration guide for integrating Myt AI Console's custom AI models into OpenCode. The setup involves appending an opencode-config.json file to the global OpenCode profile and a…
A developer released a free multi-agent routing setup for Claude Code that dispatches a single prompt to specialist subagents—research, build, write—running in parallel and merges the results. The dro…
A developer created a Gmail CLI tool for Claude Code that provides multi-account Gmail access via the command line. The tool uses the Google Gmail API directly and supports multiple accounts through s…
A developer has published behavioral guidelines for large language models to reduce common coding mistakes, inspired by Andrej Karpathy. The rules emphasize caution over speed, explicit assumptions, m…
A developer created a Claude Code skill that rewrites the previous response into a skimmable format. The skill restructures content with numbered steps, concrete next actions, and specific time estima…
A developer has proposed SYNTH, a standardized system for classifying how much AI-generated code a project contains and accepts. The system uses a 0-4 scale (SYNTH-0 for hand-made to SYNTH-4 for auton…
A developer built an n8n workflow that uses AI to generate personalized B2B outreach emails for synced prospects, with human approval before sending. The workflow retrieves prospect data, generates em…
Loop engineering is a deterministic control loop around an AI coding agent — schedule, durable state, and verification — that lets developers move up from prompting to designing the machine. Boris Che…
A developer created a Python tool to export shared DeepSeek conversations to Markdown, JSON, or plain text. The script automatically bootstraps its environment using uv, the fast Python package instal…
A developer highlights the Kesselman List of Estimative Words, a calibrated set of probability terms for intelligence analysis, as useful for large language models. The list assigns specific percentil…
Poolside's Laguna S 2.1, a 118B MoE coding model, runs on a single RTX 5090 (32 GB) at ~19 tok/s decode and ~60 tok/s prefill using auto-fit layer placement. A developer achieved this by packing full …
A developer has created agent_cli, a cross-agent command-line tool that unifies five AI coding agents—Claude, Codex, Cursor, Copilot, and Grok—behind a single interface. The script supports both read-…
An engineer shared a Python script, agent_expanded.py, that implements a simple agent loop for a large language model with a 1,050,000-token context window. The script uses a custom shell tool to exec…
A developer created claude-hist, a command-line tool that uses fzf to fuzzy-find and resume past Claude Code sessions across all projects. The tool searches session titles, git branches, and conversat…
A benchmark comparing LLM Gateway and OpenRouter for Claude Haiku 4.5 found LLM Gateway is ~35% faster to first token cold (906 vs 1392ms) and ~34% faster warm (814 vs 1232ms) at the median. The TTFB …
A developer achieved ~28 tok/s single-stream decode of DeepSeek-V4-Flash (284B MoE) on a single RTX 5090 with dual Xeon Gold 6138 CPUs using a CPU-offloaded expert recipe. The setup uses ktransformers…
An engineer created a minimal AI agent in just 9 lines of Python code, using a custom tool to execute shell commands and a loop that processes user input through a language model. The agent, which cal…