172 related articles

Claude Code is Anthropic's local AI programming assistant that reads your entire codebase, auto-debugs, and delivers far higher accuracy than Cursor and Trae. Here's why it's the strongest AI coding tool today.

Gemini quietly swapped its code syntax highlighting theme, sparking developer discussion. We break down One Dark, Dracula, and how Google's Material Design shapes its coding UI.

From pressing Enter to the first character appearing, what happens inside an LLM? This article breaks down autoregressive generation, KV cache acceleration, and decoding strategies like temperature, Top-k, and Top-p.
AI Costs Out of Control: Real-World St…
More enterprises are finding AI operational costs spiraling out of control. This article dissects token billing traps and blind flagship-model use, and maps out cost-reduction strategies like model routing, open-source self-hosting, and semantic caching.

Limited time but want to learn AI systematically? This guide maps out a practical learning path for working IT pros—from AI application engineering and prompt engineering to RAG and Agents.

AI bills keep soaring? This article breaks down two core cost-reduction strategies: intelligent routing via an LLM Gateway, and context compaction to cut Token usage—no major refactoring needed.

Torn between Géron, Chollet, and Raschka? This article breaks down 4 classic ML books for self-learners aiming at finetuning and small language models (SLM), helping you find the best advanced path.

A full review of Claude Sonnet 5: major agentic gains, benchmarks near Opus 4.8, but a Tokenizer switch inflates real costs, nearly erasing the price gap with Opus. We break down the pricing traps.

GPT-5.6 is officially released with core upgrades including programmatic tool calling, autonomous subagent delegation, and higher token information density. A hands-on card game build reveals its Agentic power.

An in-depth analysis of the vLLM inference framework's core principles: from the meaning of throughput (tokens/s), to the bottlenecks of autoregressive generation, to KV Cache, PagedAttention, and continuous batching.

The full GPT-5.6 model lineup is live. How can domestic developers access it at low cost via API relay stations? This article explains the principles, registration, token setup, client integration, and key risks.

OpenAI announces GPT-5.6 Sol Ultra coming to Codex and its most powerful real-time voice model yet, GPT Realtime 2.1; Tencent's Toast lands on iOS; Anthropic finds brain-like structures in Claude.

Does Claude Code always give irrelevant answers? This article breaks down 4 core Skill plugins: Project Context Engine, PRD Requirements Translator, Code Review tool, and Daily Report Generator—showing you how to transform Claude Code from a money-burner into a true AI coding assistant.

SGLang's team converted expert knowledge into agent skills, achieving 71.4% throughput gains, TTFT reduced from 456ms to 168ms. A deep dive into agent-assisted kernel optimization methodology.

Claude Sonnet 4 returns to Cursor, topping CursorBench while carrying the highest cost per task. A deep dive into performance vs. cost trade-offs for AI coding tools.

A real NCA-GENL study journal from an IT-support-turned-AI-engineer: 50+ scenario questions, 7-week prep, and a brutal 40% on Trustworthy AI. Covers Transformer concepts, NVIDIA tools, and what actually works.

NYT accuses OpenAI of faking inability to search training data and hiding billions of logs. A deep dive into the allegations, legal implications, and impact on AI copyright compliance.

Sam Altman revealed GPT-5.6 boosts token efficiency 54% in agentic coding — meaning near-halved API costs, longer work chains, and faster responses. A deep dive into the technical implications for developers.

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.

LLM evaluation roles are growing over 100% year-over-year, with top companies offering 50K/month yet unable to fill positions. This article explores how testing pros can seize the window.