Over the past year, AI has rapidly transformed from a 'tool' into a 'collaborator'. But many engineers, as they use it, gradually fall into a dangerous illusion: that AI can replace decision-making, even replace responsibility.
The reality is quite the opposite. The more capable the AI, the greater the demand for humans to possess stronger constraint, judgment, and information-expression skills.
A Skill (or Skills) is a reusable skills package for AI agents—typically a folder containing task instructions, scripts, templates, and reference materials. The AI loads these resources on demand when handling relevant tasks, enabling more reliable and repeatable execution of specific work.
OpenCode Go is a low-cost coding model subscription plan launched by OpenCode. Its purpose is not to create a new model, but to provide heavy-duty developers with a unified model pool and billing method.
What is a Tool in the Vercel AI SDK? Think of it as a "function with instructions": the instructions are for the model, while the function body is for your own code.
When React Native 0.85 was released, the official announcement avoided using the term 'revolutionary' — because this update is essentially a systematic polish of infrastructure like animations, debugging, and testing, building on the foundation of the new architecture.
Hermes Agent is an open-source self-evolving AI agent framework open-sourced by Nous Research at the end of February 2026. As of early May, it had already surpassed 100,000 stars on GitHub, making it one of the fastest-growing open-source projects of 2026. This lightweight Python-based framework's standout feature is that it "gets smarter with use" — it automatically learns from each task, creates and improves its own skills, and builds long-term memory.
Matt Pocock's Skills project is an engineering skill library for AI coding assistants (such as Claude Code). By modularizing standard software development workflows, it addresses the core pain point of inconsistent quality in AI-generated code.
Many frontend engineers feel a bit confused when first encountering MCP: it sounds like a protocol, acts like an Agent, and discussions are full of Tool, Prompt, Resource, and Skill. But you don't need to digest all these terms at once. Just remember this one sentence: MCP is a standardized way for AI to connect tools, access data, and actually get things done.
code-review-graph is an open-source tool for AI coding assistants. It first builds a structured knowledge graph of your codebase locally, then supplies only the relevant context to the AI — avoiding a full scan of the entire repository on every task. Powered by Tree-sitter to parse ASTs, it organizes functions, classes, imports, call relationships, and test dependencies into a graph structure, and makes it available to tools like Claude Code, Codex, and Cursor via MCP.
