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OpenAI’s GPT-5.5 surpasses its predecessor on most benchmarks, offering lower token usage and stronger agentic, research, and coding capabilities, but falls behind Anthropic’s Claude Opus 4.7 on the SWE‑Bench Pro coding test, while its API price has doubled to $5/$30 per million tokens.
This article presents 35 hands‑on Claude Code techniques, each paired with a ready‑to‑use command or prompt, covering project initialization, session management, code quality, architecture review, automation, documentation, dependency handling, debugging, and recovery to help developers harness the AI coding assistant efficiently.
OpenAI’s GPT‑Image‑2, released with ChatGPT Images 2.0, tops the Image Arena leaderboard by 242 points, supports up to 2K resolution and multilingual rendering, and in side‑by‑side tests outperforms Nano Banana Pro in text rendering, complex prompts, and artistic fidelity, though it still lags in geographic reasoning.
The article analyzes Kunlun Wanwei's 2026 AI model launch and "3+1" AGI strategy, arguing that chatbots represent just one‑tenth of the biggest market while enterprise AI agents are the true growth engine, and discusses financial forecasts, pricing, and structural challenges in China's AI industry.
Anthropic’s newly released BLE API lets developers embed Claude Code’s approval workflow into ESP32‑based devices, and within two days the community has produced several hardware adaptations—including M5StickC, X‑Knob, Cardputer, and Raspberry Pi Pico W—turning code approvals into tangible, customizable interactions.
Claude Opus 4.7, the strongest publicly available Opus model, boosts code task success rates, extends image resolution three‑fold, adds an xhigh effort tier, introduces proactive network‑security interception, and retains the same pricing, while benchmark tests show it outpacing Opus 4.6, GPT‑5.4 and Gemini 3.1 Pro across multiple metrics.
The article explains that Agent Harnesses are essential for managing AI memory and context, argues that closed‑source harnesses give vendors control over user data, outlines three risk levels of memory lock‑in, and advocates open, user‑controlled harnesses such as OpenClaw and Deep Agents.
MarkItDown, an open‑source tool from Microsoft’s AutoGen team, lets you feed PDFs, Office documents, web data, media, and even YouTube videos into large language models by converting them to clean Markdown in a single command, preserving structure for better AI understanding.
Anthropic’s new Advisor Strategy lets the low‑cost Sonnet (or Haiku) model handle full agent tasks while invoking the powerful Opus model only for difficult decision points, delivering a 2.7‑point score boost on SWE‑bench with roughly 12% lower cost, and can be added with a single API call.
Anthropic’s Claude Managed Agents redesign AI agent infrastructure by separating the reasoning "brain" from the execution "hand", achieving over 90% reduction in p95 latency, higher task success rates, secure credential isolation, and enabling six companies to deploy in days instead of months.
