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Exploring whether the ACM Digital Library should open to LLM training. Analyzing the value of academic corpora for AI, data exhaustion concerns, copyright battles, and pragmatic paths including licensing and RAG.

Digital identity and mandatory age verification policies are accelerating globally, raising concerns about privacy, data security, and the open internet. This article explores policy contexts, technical risks, and alternatives like zero-knowledge proofs.

Loop Engineering is a paradigm shift in AI usage. Learn how to build automated loops where agents explore, execute, and verify tasks autonomously, with a hands-on e-commerce case study.

Explore the new code review mindset for the AI programming era: now that code is cheap, engineers should generate massive amounts of code to verify critical code rather than obsessing over reading every line.

Explore the new code review mindset in the AI era: now that code is cheap, engineers should generate more code to validate critical code rather than reading every line.

Deep analysis of the EYG programming language's core design, including algebraic effects, program state persistence, and cross-platform portability, exploring how it addresses modern software fragmentation.

If digital computers can produce consciousness, does it reside in software algorithms or physical hardware? Exploring causal closure, substrate independence, and implications for AI consciousness.

An in-depth analysis of Wolfram's multiway Turing machines, exploring how computation expands from single paths to multiway graph structures, and deep connections to AI search algorithms and quantum computing.

A comprehensive guide to three core AI tool types (personal assistant, CLI geek, AI IDE) in the testing era. Uncover the real challenges of AI test case generation and the new AI test development paradigm.

A complete guide to the three core categories of AI tools in the testing era (personal assistants, CLI geek tools, AI IDEs), revealing the real challenges of AI test case generation and the new AI test development paradigm.

An in-depth look at how AI Agents are disrupting traditional software testing: the core differences between LLMs and Agents, four capability dimensions (planning/memory/tools/skills), and how test engineers can achieve 10x efficiency gains in test case generation.

An in-depth look at how AI Agents disrupt traditional software testing: the core differences between LLMs and Agents, four capability dimensions (planning/memory/tools/skills), and how testers achieve 10x efficiency gains.
The Rise of Claude Skills Ecosystem: A…
Explore the Claude Skills ecosystem: from prompt engineering to modular skills, covering skill libraries, MCP integrations, and dev frameworks. The awesome-claude-skills list has 68K+ Stars.
GitHub Daily · July 23: The Duet of Ru…
GitHub Trending July 23: block/buzz tops the chart with 3,252 stars, Rust dominates system tools, and AI Agents shift from tools to parallel collaborators.

From retirees to traditional artists and solo entrepreneurs, ChatGPT and Codex are breaking down tech barriers and enabling personalized learning across all ages.
Multi-Agent Collaboration: A GPT Team …
Explore multi-agent collaboration architecture: role division, communication protocols, coordination mechanisms, and how Workbench templates help developers build efficient AI agent teams.

How does Cosmonapse replace LangGraph's graph structure with event-driven distributed protocols? A deep dive into two multi-agent architecture paradigms, their trade-offs, and when to use each.

Loop Engineering is an emerging AI dev paradigm where Agents iterate in controlled loops instead of one-shot outputs. Learn the 4-year evolution and what it means for developers.

Anthropic engineer Lydia and YK Sugi break down Claude Code's Intent-Driven Development paradigm, covering dynamic workflows, auto mode, sub-agent orchestration, and the evolving role of software engineers in the AI era.

Deep dive into GPT-5.6 (Sol/Terra/Luna) and OpenAI's Super App: Loop Engineering, Parallel Agents, and Computer Use — unpacking the shift from prompt to loop engineering with real test cases and a startup framework.