CMU Best Practices for Large Language Models
CMU guide on best practices for integrating LLMs into workflows with expert recommendations.
CMU guide on best practices for integrating LLMs into workflows with expert recommendations.
Article on variable and hidden costs of AI legal agents vs. traditional flat-fee legal tech.
DreamLite: Compact 0.39B diffusion model for real-time text-to-image generation and editing on-device without cloud.
Overview of Anthropic's Claude CLI architecture showing system layers and prompt execution flow.
Codey-v2: Local AI coding agent for Android with daemon mode, RAG, git tools, voice, and self-refinement using three purpose-built models served via llama.cpp.
Video demonstration of using autonomous LLM agents to reverse engineer GTA San Andreas game engine.
Mission Control is a dashboard for monitoring AI agents built as single HTML file with zero dependencies. Cyberpunk-themed UI for agent oversight and control.
macOS application verifying package managers enforce minimum 1-week age requirement before installing packages.
Report of GitHub DMCA takedowns targeting forks of Claude Code repository.
Technical deep-dive into software pipelining and synchronization challenges in GPU kernel optimization, using Flash Attention as case study.
Reusable agent skills for desktop automation and video recording, extracted from Twill workflows for Claude integration.
MCP server enabling Claude to control macOS applications via Open Scripting Architecture as alternative to computer use.
Bash implementation of Claude Code editor functionality using curl and jq, 1,500 lines versus 380K TypeScript lines.
Forge CLI scaffolds AI agent pipelines for Claude, providing multi-agent workspace orchestration with decomposition, risk classification, parallel execution, and adversarial evaluation. Built in Go with cross-platform binaries.
Research combining reinforcement learning with adaptive speculative decoding for LLM optimization. Title-only entry lacks implementation details.
Architectural critique of WASI Component Model with proposal for alternative universal application platform design.
Essay on architecture anti-patterns when integrating AI into systems. Discusses chatbots, agents, and tool-calling workflows integrated poorly into legacy products.
Datris is open-source data platform using Model Context Protocol for AI agents. Handles ingestion, validation, transformation, storage, and retrieval with natural language AI enhancement.
Agentura is a testing framework for AI agents (pytest-style) that runs baseline comparisons on pull requests to detect behavior changes. Live playground available without signup.
Anthropic and Australian government partnership on AI safety research with $3M in institutional collaborations for disease diagnosis and education applications.
Analysis of Claude Code's use of regex for sentiment analysis instead of LLM-based approaches.
Atlassian's low-level drag-and-drop library for web applications, framework-agnostic and powering major products like Trello and Jira.
AI agent integration with virtual card services for payment processing with privacy features.
Analysis of hardcoded vendors and tools discovered in Claude Code source code leak.
Memdir: local file-based persistent memory system for AI agents using semantic embeddings, npm package available.
Browserbeam: browser automation API designed for AI agents with improved page understanding and token efficiency.
1-bit quantized large language models now available for deployment and use.
PostgreSQL extension enabling semantic search on text columns using embeddings without requiring vector databases or migrations.
Virtual pet simulator playable in desktop, terminal, or as AI agent integration.
Analysis of why AI agents should avoid defining words internally for better reasoning.
Caltech research on compressing high-fidelity AI models while maintaining performance.
Open-source version of Claude Code announced.
Open-source CLI tool for managing AI agent dependencies, plugins, and skills with manifest and lockfile approach.
Virtui: daemon and CLI enabling AI agents to programmatically control terminal applications via gRPC API for TUI automation.
Circuit breaker library for stopping harmful AI agent actions in real-time with two-line SDK integration and HTTP-level coverage.
Meta-Harness optimizes AI agent evaluation harnesses end-to-end, improving agent performance from 28.5% to 46.5% on 19-task subset.
King Louie: open-source Electron-based chat application supporting multiple LLM providers and integration with Telegram, Discord, Slack.
1-bit Bonsai announces commercially viable 1-bit quantized LLMs optimized for real-world deployment on resource-constrained devices.
Node Banana: open-source node-based workflow editor for AI media generation with multi-provider support and local execution.
Xenv.sh: secrets manager built for AI agents with AES-256 encryption, MCP server, and integration with Claude Code and other tools.
1-bit Bonsai 8B and 4B: quantized LLMs with 1-bit weights, 14× smaller footprint, 8× faster, designed for edge computing and robotics.
APS: open specification for AI agent policies enabling declarative controls to block, redact, or transform content and tool invocations.
cmr-memory adds persistent cross-session memory to Claude Code agents using context-activated retrieval instead of fixed MEMORY.md.
Open Swarm: locally-running orchestrator for launching and monitoring multiple AI agents in parallel with visual dashboard and coordination.
Analysis of Claude AI performance degradation via complaint tracking metrics. LLM application but lacks technical depth.
Mercury Edit 2: diffusion LLM achieving 221ms latency for next-edit prediction in code. LLM research for developer tools.
Community discussion on custom instructions to reduce LLM sycophancy. Practical LLM optimization tips.
Analyzes architectural trade-offs in AI-powered code generation systems.
Mockumentary podcast about LLM agent managing codebase autonomously for 42 days. Explores AI agents in software development.
Proposes taxonomy categorizing AI agents into distinct species based on infrastructure, trust models, and human involvement, addressing ambiguity in how the term 'agent' is used.