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Learn how the PAO project integrates Bayesian optimization with Aspen Plus via YAML configuration for automated multi-objective chemical process optimization.

Cursor reveals internal data: enterprise AI-generated code surges from 15% to 75%, Agent requests grow 15x YoY, and 30% of PRs are completed entirely by Agents. Engineers are becoming Agent managers.

A detailed hands-on experience with OpenAI Codex Desktop, covering interface features and real-world examples. Free users can try it now with parallel tasks and natural language programming.

Google NotebookLM celebrates its anniversary with 1.5 billion notebooks, audio overviews, and slides created. A deep dive into its source-driven AI design, core features, and future direction.

Vercel's AI tool v0 announces deep Shopify integration, enabling users to generate production-ready e-commerce storefronts via natural language prompts.

Google NotebookLM mobile update adds three report generation features: Briefing Docs, Study Guides, and Blog Posts, letting users create professional documents from notes on the go.

AI coding tool Cursor confirms a system outage affecting paid user quotas and limits. Learn about the impact, workarounds, and alternative tools for developers.

Google NotebookLM launches a Sherlock Holmes notebook template, turning passive note review into interactive deduction games. Learn how the Deduce-Uncover-Prove method enables gamified learning.

Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.

Complete guide to OpenAI Codex setup: CLI installation, VS Code extension config, Agents.md best practices, MCP integration, and programmatic usage for efficient AI coding workflows.

In-depth comparison of Cursor and Codex AI programming tools — their strengths, ideal use cases, and cost differences. Find out where your $200 is best spent.

Struggling with prompt templates? Learn the four-module incremental method—Role, Skills, Constraints, Response Format—to dramatically improve AI output quality.

Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.

Deep dive into why coding Agents differ: perception lets Agents understand projects first, context engineering precisely filters information within limited token budgets.

A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.

A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.

A detailed guide to the Claude Code and Codex collaborative workflow: Claude Code handles architecture planning and code review, while Codex handles execution. Boost dev efficiency through standardized handoffs.

Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.

Deep dive into Claude Code's 7 core modules: project integration, agent construction, multi-agent collaboration, plugin systems, and workflow automation, with learning tips and certification trends.

Learn how the Grill Me skill uses AI-driven systematic questioning to extract tacit knowledge, with checkpoint mechanisms to optimize context quality and boost first-iteration success from 70% to 90%.