246 related articles
Deconstructing the SWE-1.7 Coding Mode…
The SWE-1.7 specialized coding model sparked buzz on Hacker News, claiming performance near GPT-5.5 and Claude Opus. This deep dive analyzes the technical approach, benchmark limitations, and how specialized AI coding models challenge general LLMs.

Many enterprises fail at AI Agents due to choosing the wrong tools and lacking methodology. This article outlines an eight-step Agent development method—from cognitive foundations, scenario selection, hand-writing ReAct, and structured output to Tool Use, RAG, evaluation sets, and production fallback.

Struggling with $100/month subscription fees? This guide covers open-source AI coding tools like Aider, Cline, and Continue, combined with OpenRouter's pay-as-you-go model, to help you build an efficient AI coding workflow at minimal cost.

From CNN and RNN to Transformer, a complete breakdown of the core evolution of AI natural language processing. Understand attention, BERT vs. GPT, and the architecture behind large models.

Learn how to use AI Agents to link the entire research pipeline—from literature management, data analysis, and paper writing to scientific illustration and dissemination—building a reusable research automation workflow with NotebookLM, N8N, and Ollama.
Local Coding Agents in Practice: A Com…
An in-depth look at local coding agents—core concepts, advantages, and real challenges. Compare against Claude Code and learn to build a zero-subscription, private AI coding workflow with open-weight models.

AI coding tools carry cloud data transmission risks, exposing quantitative trading strategies to leakage. This article analyzes AI tool data security and offers protection strategies.

Alibaba bans Claude Code over security risks, sparking tech community debate. An in-depth analysis of data leakage risks with cloud AI coding tools and the rise of local AI deployment.

OpenInspect's Multi-Repo Automations lets AI coding agents maintain up to 10 repositories on a schedule simultaneously — isolated sessions, independent PRs, and fault-tolerant execution for security sweeps, dependency upgrades, and framework migrations.

Systematically learn the OpenCode AI programming tool: covering both desktop and WSL installation, core commands, model and rule configuration, MCP integration, and Agent Skills.

Lingbot World is an open-weight world model on Hugging Face with 14B parameters, causal autoregressive architecture, and inference speed optimizations. Explore its architecture and use cases.

A clear, in-depth guide to how AI Agents work: the paradigm shift from traditional programs, the perception-decision-action loop, and the four pillars—LLMs, tool calling, memory, and RAG.

Tencent Hunyuan HY3 official version is open-sourced under Apache 2.0, priced as low as 1 yuan per million input tokens, with major gains in agents, reasoning, coding, and long context. On the same day, Meituan open-sourced its trillion-parameter LongCat 2.0.

Want to break into LLM development but not sure where to start? This guide breaks the core skills into four progressive layers — from basic knowledge to RAG, fine-tuning, Agents, and multimodal — so you can align with real enterprise needs and land the job.

Demo works but production fails? This guide covers the full AI Agent development path: when to use Agents, hand-writing ReAct loops, tool schemas, RAG, eval sets, and production fallback strategies.

An in-depth breakdown of LangChain 1.3's core concepts, covering the three major limitations of LLMs, Agent architecture, memory management, and a complete learning path. Master LangChain and LangGraph to quickly build AI development skills.

Prompt Engineering is the core skill for harnessing LLMs. This article covers principles and design methods through real cases like translation role-setting and DeepSeek image generation.

GLM-5.2 tops open-weight models in coding with a 74.4 Frontiers-WE score, beating GPT-5.5. Its MIT license enables local deployment, and the gap with closed-source flagships is closing fast.

Alibaba banned Claude company-wide, flagging Claude Code as high-risk. Three converging timelines — Anthropic's distillation attack allegations, the 1260H list, and Claude Code's hidden detection system — reveal the geopolitical logic behind the ban.

Claude Code was found to contain three covert detection layers: Chinese timezone checks, steganographic prompt marking, and identity fingerprints sent with every request. Alibaba banned all Claude products, forcing ~20,000 engineers to switch tools.