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How Pinterest engineers built Medic for Apache Spark — a multi-agent auto-diagnosis tool — covering the evolution from a single ReAct agent, observability, log denoising, and end-to-end testing.

A deep dive into an AI paper writing system built with FastAPI + Vue3, covering multi-agent collaboration, RAG, streaming output, and full academic workflow automation.

A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.

A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.

A deep comparison of Pipecat Flows and Vapi Squad for voice AI agent architecture — covering latency, accuracy, multi-agent handoffs, and when to use each.
Text-to-CAD: How AI Agents Are Reshapi…
Explore how the open-source text-to-cad project wraps CAD modeling as AI agent skills, letting engineers generate 3D models from natural language descriptions.
pi-web: An Open-Source Web UI Built fo…
pi-web is an open-source TypeScript Web UI for the pi coding agent, offering visual execution flows, interactive intervention, and session management. 1500+ stars on GitHub.

Integrating email into LangChain agents: Gmail API's OAuth flow is too complex, while AgentMail offers a lightweight agent-native email API. A practical engineering comparison.

Andrew Ng's DeepLearning.ai teams up with Anthropic to teach Agent Skills: file structure, progressive disclosure, MCP integration, and the full path from Claude.ai to the Agent SDK.

Pi is a minimalist open-source Agent framework with just 4 default tools and under 1,000 tokens in its system prompt, with 70K GitHub stars. Deep dive into its 4 core advantages vs. Claude Code and Codex.

Skill hit rate dropping as your Agent scales? Learn how Progressive Disclosure works and explore 4 solutions: better descriptions, Skill Trees, negative samples, and recall + rerank.

Google DeepMind engineer Philip reveals: almost everyone uses coding agent Skills, yet almost no one writes evals for them. A deep dive into Skill evaluation methods, 8 actionable tips, and a real Gemini API case study.

Microsoft Build deep dive: how to deploy AI agents in Teams multi-user collaboration. A three-pillar framework—Manners, Privacy, Polish—covering emoji reactions, targeted messages, Adaptive Cards, and more for enterprise agent developers.

Full breakdown of a real AI testing pipeline: API collection, doc enrichment, AI test case generation, Agent-driven execution, and test reports — with Skills, RAG, and Harness engineering.

RL3 is a zero-code, browser-based reinforcement learning platform featuring drag-and-drop environment design, visual reward configuration, and Q-learning/PPO training. Built by an indie developer over 15 months to make RL accessible to everyone.

Pi Agent hands-on review: ~1,200 token overhead, no built-in system prompts, supports Codex/Grok and more. Compared to Claude Code and OpenCode, Pi Agent wins with minimalist design and full customizability.

Stop using generic agents. Learn how to use AI to auto-generate specialized VS Code Copilot custom agent configs — covering models, tool permissions, and more.
GitHub Copilot SDK Released: Embed AI …
GitHub open-sources copilot-sdk, enabling developers to embed Copilot Agent capabilities into their own apps. Explore its strategic significance, core features, and enterprise adoption considerations.

AI agents are revolutionizing JS reverse engineering. This deep dive covers built-in tool chains, automation modes, prompt engineering for e-commerce, and full pipeline automation from parameter extraction to database storage.

Learn how to build a full WhatsApp AI Agent pipeline for online courses — from ad-driven lead capture and smart screening to automated service delivery and silent lead re-engagement.