Self-healing browser automation harness that lets LLMs complete any browser task. 5,000+ stars in under a week.
Browser Harness is the browser-automation layer for AI agents that has quietly taken over from its more-famous parent project. Self-healing in this context means the harness re-plans when a selector breaks or a page state diverges from what the agent expected, rather than failing the run. For agentic browser work (logging in, filling multi-step forms, navigating SPA auth flows, completing checkout), Browser Harness is the library most new projects reach for in 2026. It works with any LLM backend via an OpenAI-compatible adapter. Shipped by the browser-use team, who have been iterating on browser-automation-for-LLMs longer than most of the field.
Modern browser automation from Microsoft. Auto-wait, role-based selectors, cross-browser, fast in CI.
Serverless cloud for AI/ML workloads. Write Python with decorators, Modal handles GPU provisioning and scaling. Sub-second cold starts. Scales to zero. $30/mo free compute.
Open-source LLM engineering platform: tracing, evals, prompt management, and datasets. Self-hostable, OpenTelemetry-native, with 50+ framework integrations.
Open-source cloud sandboxes that run each AI agent session in its own microVM. Isolated environments that start in under 200ms, run code in Python, JavaScript, and more, and persist sessions up to 24 hours.
Self-healing browser automation harness that lets LLMs complete any browser task. 5,000+ stars in under a week.
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Subscribe FreeDeployment platform behind Next.js. Git push to deploy. Edge functions, image optimization, analytics. Free tier is generous.
Self-hosted PaaS for deploying apps, databases, and services. Git-based deploys, Docker support, preview environments, and a clean UI.
Reactive backend - database, server functions, real-time sync, cron jobs, file storage. All TypeScript. This site's backend (courses, videos, user data) runs on Convex.
Configure Claude Code for maximum productivity -- CLAUDE.md, sub-agents, MCP servers, and autonomous workflows.
AI AgentsWhat MCP servers are, how AI clients like Claude Code call their tools, how to add one through .mcp.json, and how to build your own in TypeScript.
AI AgentsInstall Ollama and LM Studio, pull your first model, and run AI locally for coding, chat, and automation - with zero cloud dependency.
Getting Started
Claude Code /loop runs prompts on repeat in a session: fixed or self-paced intervals, seven-day expiry, jitter, and when...

Claude Code updates: remote control from your phone, Cowork scheduled tasks, new plugin repos, auto memory and 4% of pub...

llmspeed estimates tokens per second for 30 machines and 15 models. What its numbers mean, the memory-bandwidth rule beh...

Agent memory is five layers: history, compaction, semantic recall, working memory and files. How Mastra, LangGraph, Open...

Anthropic Python SDK 1.0 swaps httpx for httpx2, requires Python 3.10+, and drops temperature and Text Completions. Veri...

How to start ChatGPT Work tasks from Gmail, Slack, GitHub and your own MCP server events: setup steps, the 30-runs-per-h...

New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.