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Deep dive into AI-era automated testing: using Pytest + Playwright + MCP for stable automation, constraining code conventions with Skills, avoiding non-determinism and high token costs. Includes real debugging war stories.

An in-depth look at the seven core components for building long-running AI agents: Goal, Evaluator, Verifier, Outer Loop, Orchestration, Observability, and Memory. Master this control system for reliable autonomous agents.

Deep dive into Harness Engineering's four core principles: Documentation as Source of Truth, Mechanized Constraints, Feedback Loops, and Entropy Management, with practical AI Agent cases.

Three practical cases—RNA-seq setup, GATK reference data download, and SRA batch download—demonstrate using Claude Code with DeepSeek v4 Flash for bioinformatics environment configuration.

Deep dive into Claude Code Skills: semantic matching, storage locations, priority rules, and advanced tips. Master on-demand knowledge injection for AI coding.

A detailed walkthrough of Claude Code + Opus 4.7 in action: from CCSwitch setup to model configuration, completing a complex payment feature in 4 hours for $60 with zero hand-written code.

A complete guide to OpenAI's Codex desktop app: installation, Plugins, Skills, Agent.md setup, and multi-task parallel execution for the ultimate AI Agent.
行业洞察LangChain unveils a full-lifecycle toolchain for Agent development at Interrupt, covering Deep Agents 0.6, SmithDB, Context Hub, LLM Gateway, and LangSmith Engine.
教程攻略Complete guide to OpenClaw AI agent: installation, configuration, memory & dream system, Skill extensions, and multi-lobster management with practical tips.