#multi-step engineering
1698 related articles
Tech Frontiers·3 min
OpenAI Codex Adds Computer Use: AI Agents Autonomously Control Mac in the Background
OpenAI adds Computer Use to Codex, enabling AI agents to autonomously click, type, and operate across Mac apps in the background without taking user control.
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Deep Dives·3 min
Claude's Advisor Strategy: Small Models Execute, Large Models Supervise — A New Cost-Saving Paradigm for AI Agents
Anthropic's Advisor Strategy lets Sonnet execute tasks while Opus serves as advisor, cutting costs 12% while boosting SWE-Bench by 2.7 points. A new multi-model AI Agent paradigm explained.
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Tech Frontiers·3 min
OpenAI Codex 2.0 Deep Dive: From Coding Assistant to All-Purpose AI Agent
OpenAI Codex major update: new Computer Use, built-in browser, long-term memory features. 3M weekly developers. How Codex evolved from coding assistant to full SDLC AI Agent.
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Tutorials·3 min
Andrew Ng's New Course: A Practical Guide to Data Governance for Enterprise AI Agents
Andrew Ng and Databricks launch an AI Agent data governance course covering least privilege principles, Unity Catalog permissions, MLflow tracing, and a complete governance lifecycle from build to deployment. Free to learn.
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Industry Insights·3 min
AI Tool Adoption ≠ Transformation: 219 Engineering Leaders Reveal the Real Gap
A survey of 219 engineering leaders reveals most teams adopted AI dev tools without truly changing how they build software. Discover the gap and three key traits of successful transformation.
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Tech Frontiers·2 min
LlamaIndex Integrations Get a Major Overhaul: Key Upgrade Points Every Developer Should Know
LlamaIndex official integrations get a major overhaul covering API optimization, documentation improvements, and unified interfaces. Learn the impact on RAG and LLM app development with migration tips.
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Deep Dives·3 min
Why Is AI Agent Testing So Hard? How Simulation Testing Cracks the Infinite Input Space Problem
AI Agents face infinite input spaces and non-deterministic outputs. Learn how simulation testing systematically validates Agent reliability through scenario generation, environment simulation, and behavior evaluation.
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Tutorials·3 min
awesome-llm-apps: A 100K-Star GitHub Project with 100+ AI Agent & RAG Applications
awesome-llm-apps is a 100K+ Star GitHub project featuring 100+ ready-to-run AI Agent and RAG apps. Built in Python with clone-and-run simplicity, it's an essential resource for LLM developers.
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Product Reviews·3 min
MiroFlow Open-Source AI Workflow Framework Review: The Strengths and Concerns Behind Top Rankings Across Multiple Benchmarks
In-depth review of MiroFlow open-source AI workflow framework: technical architecture behind 5+ benchmark Top-1 rankings, multi-model support, Web UI, and comparison with LangChain and Dify.
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Product Reviews·3 min
PyGPT: Open-Source Desktop AI Assistant with All-in-One Integration of GPT, Claude, Ollama, and More
Deep dive into PyGPT, an open-source desktop AI assistant supporting GPT-4, Claude, Gemini, Ollama local models, with built-in RAG, agents, voice interaction, and image generation.
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Tutorials·3 min
The Complete Guide to MLflow: An Open-Source AI Engineering Platform from Experiment Tracking to LLM Deployment
A deep dive into the MLflow open-source AI engineering platform, covering experiment tracking, LLM evaluation, model deployment, and monitoring to help teams efficiently manage the ML lifecycle.
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Product Reviews·2 min
Opik: An Open-Source LLM Observability Platform for Debugging, Evaluation, and Monitoring All in One Place
Deep dive into Opik: an open-source platform for LLM app lifecycle management with tracing, automated evaluation, hallucination detection, and production monitoring for RAG and Agent workflows.
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Product Reviews·2 min
Opik: Open-Source LLM Observability Platform for Debugging, Evaluation, and Monitoring All in One
Deep dive into Opik: an open-source platform for LLM app lifecycle management with tracing, automated evaluation, hallucination detection, and production monitoring. 19K+ GitHub stars.
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Tech Frontiers·2 min
DeepAgents: LangChain's Deep Agent Development Framework Built on LangGraph
DeepAgents is LangChain's open-source Agent framework built on LangGraph, supporting multi-step reasoning, state management, and multi-Agent collaboration for production-grade AI development.
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Deep Dives·3 min
LangGraph Deep Dive: An Open-Source Framework for Building Resilient AI Agents
Deep dive into LangGraph's core architecture, StateGraph design, multi-Agent collaboration, and deployment. Learn how this 31K+ Star project helps build reliable AI Agents.
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Product Reviews·3 min
AI Coding Agent Benchmark: Comprehensive Ranking and Selection Guide for 80+ Tools
Comprehensive comparison of 80+ AI coding agent tools, with SWE-Bench benchmark rankings covering Devin, Cursor, Claude Code, GitHub Copilot and more, plus pricing analysis to help developers choose.
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Tutorials·3 min
Product Hunt Launch Playbook: GTM Methodology from a 30x #1 Product of the Day Winner
Deep dive into gingiris-launch, an open-source GTM playbook from a 30x Product Hunt #1 winner. Covers AI product launch strategy with Manus, Devin & AFFiNE case studies.
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Tech Frontiers·2 min
Microsoft Open-Sources GitAGU: A Unified Platform for Managing AI Agent Development Workflows
Microsoft open-sources GitAGU (Git Agent Unblock), a centralized platform for discovering, configuring, and integrating AI agents into development workflows across the full SDLC.
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Product Reviews·4 min
OpenClaw4J: Deep Dive into a Java 21 + Spring AI Agent Framework
Deep dive into OpenClaw4J, an intelligent Agent framework built on Java 21 virtual threads and Spring AI, supporting tool calling, memory management, and multi-Agent collaboration for enterprise Java developers.
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Tutorials·3 min
Hands-On Intelligent Agent Development with LangGraph: From Getting Started to Full Project Architecture
A deep dive into intelligent Agent development with LangGraph, covering core concepts, project architecture, state management, and practical tips for building AI agents in Python.
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