We dissect AI-era technologies, tools, and trends with a hardcore perspective. Focused on large models, agents, MCP, function calling, and hands‑on AI development. No fluff, no hype—only actionable insights, source code, and practical ideas. Get a daily dose of intelligence to simplify tech and make efficiency tangible.
Martin Fowler argues that software engineering has moved from a deterministic world to a nondeterministic one driven by LLMs, outlining how this paradigm shift reshapes development practices, introduces new risks, and demands a harness‑based engineering approach to manage uncertainty.
This article breaks down DeepSeek‑V4's six core capability categories—knowledge, reasoning, programming, math, long‑context, and agent—showing how each benchmark works, presenting concrete scores that place V4 first or second against leading models, and explaining the hidden efficiency gains that make V4 up to 13.7× cheaper to run.
Harness Engineering, now buzzing across the tech community, promises a ten‑fold productivity boost by replacing hand‑written code with a structured AI‑driven system, and the article breaks down its definition, evolution from Prompt to Context to Harness, core components, real‑world examples, and the associated risks and debates.
DeepSeek V4, released today, offers two open‑source models (Pro and Flash) with up to 1.6 T parameters and a 1‑million‑token context, achieving top‑tier programming and mathematics benchmark scores that surpass the three major closed‑source competitors, while cutting API costs to a fraction of the price.
The article clarifies the difference between visual style and brand theme color, shows how to implement each with CSS, provides design guidelines and code snippets for various product types, and warns common pitfalls so you can create cohesive, recognizable layouts for public‑account content.
Hermes Agent, launched in February 2026, quickly amassed over 90,000 GitHub stars and a 3,670% weekly growth, while OpenClaw’s growth stalled; the article analyzes Hermes’s self‑evolving architecture, persistent multi‑layer memory, automatic skill generation, 200+ model support and zero‑CVE security that together explain its potential to replace OpenClaw.
The article explains how the emerging "Harness Engineering" paradigm—highlighted by OpenAI, Stripe and Anthropic—shifts AI development from prompt tweaking to building full control systems, promising ten‑fold efficiency gains, new architectural components, and both opportunities and risks for developers.
Kimi K2.6, an open‑source Chinese LLM, outperforms GPT‑5.4 and Claude Opus 4.6 on SWE‑Bench Pro code tests, delivers 13‑hour uninterrupted coding, runs 300 parallel agents, and costs only one‑twentieth of comparable closed‑source models, while offering a trillion‑parameter MoE architecture and Apache 2.0 licensing.
The article defines OPC (One‑Person Company) as a solo founder backed by AI agents, presents data showing its rapid rise, explains why AI maturity, low startup costs, and supportive policies fuel its growth, compares it with traditional firms, outlines a nine‑layer tech stack, warns of common pitfalls, and offers a decision tree to assess personal suitability.
DeepSeek announced its first external financing, targeting at least $300 million at a valuation exceeding $10 billion, and the article analyzes the exploding compute costs, talent poaching, fierce competition, upcoming V4 model, fund allocation, and broader implications for China's AI industry.
