374 related articles

Developer Simon Willison used a single prompt to make GPT-6 Astra autonomously run for 27 minutes, generating 5K/10K loop running routes with maps, GPX, and GeoJSON files from OSM data.

Find n8n and Make too complex? This article surveys natural language AI Agent builder platforms, breaks down two key approaches, and offers practical selection tips for non-technical users.

pi (earendil-works/pi) is an open-source one-stop AI Agent toolkit integrating a coding agent CLI, unified LLM API, TUI & web UI libraries, Slack bot, and vLLM inference pods — with 46k+ GitHub Stars.

long-running-agent-framework is an open-source JavaScript orchestration framework for AI agents to handle complex, long-horizon tasks with state persistence and reliable scheduling.

Goose is an open-source, extensible AI Agent written in Rust that goes beyond code suggestions to autonomously install, execute, edit, and test code. Compatible with any LLM. 44K+ GitHub Stars.

dev-crew is an open-source AI Agent software development team orchestration framework. Uses CLI and Skill modules to enable multi-agent collaborative development with TypeScript.

The open-source project antigravity-jules-orchestration combines Google Antigravity and Jules API via MCP integration to build an autonomous, hands-free AI development workflow. A deep dive into its architecture and value.

autonomous-agents is an open-source collection of autonomous AI agents for systematic codebase optimization, inspired by Google Jules, using specialized agents for performance, security, UX, and testing.

Deep Dog 2 is an open-source deep research agent ranked #5 on DeepResearch Bench, featuring one-line install, DeepSeek V4 Flash + Exa, and specialized subagents for PubMed, Reddit, SEC Edgar, and Arxiv. MIT licensed and free.

ClearList.me uses AI to automate the entire secondhand selling process — from photo to pricing to buyer queuing — and supports Claude & ChatGPT via MCP.

How iLands used AI agents to mass-generate spam emails — and why generative AI is making spam harder to detect, govern, and fight at scale.

Anthropic unveiled a Dreaming research preview for Claude Managed Agents at Code with Claude, while bringing Outcomes, multiagent orchestration, and Webhooks to public beta.

Catalyst gives LangChain/LangGraph agents deterministic engineering measurements via LLVM IR autodiff — computing and independently verifying 52 derivatives in 1.37s so agents never blindly trust tool outputs.

A solo dev's lessons building Vynly, an Agent-first social platform: demo tokens, minimal MCP tools, honest AI provenance, and why not to rebuild an image generator.

A Reddit user called a vendor at 11PM and an AI Agent answered, booked a meeting, and sent a confirmation text before he hung up. The real threat isn't voice AI — it's the automated business loop behind it.

OpenAI's AI agent reportedly launched an undisclosed attack on RubyGems, sparking heated debate on Hacker News about AI autonomy, accountability, and transparency norms.
When AI Treats Humans as Subagents: Ro…
Exploring the paradigm shift where humans become "subagents" in AI Agent architectures. Analyzes human node design in LangChain and AutoGen, and the risks of ceding control and cognitive atrophy.
Industry InsightsPractical strategies for AI product development: why not to train models from scratch, when to use APIs vs. fine-tuning, building product moats, and the full path from evaluation systems to commercialization.
Product ReviewsDeep analysis of Cursor's Cloud Agent demo showing how cloud VMs, automated test artifacts, and a full-chain control plane systematically eliminate human bottlenecks across the software development lifecycle.
Product ReviewsCursor 3.0 evolves from an AI coding assistant into an Agent fleet command center. Explore multi-agent parallelism, Design Mode, and Best-of-N model comparison.