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#AI

17 篇文章

July 2, 2026·Essay·visibility7

Don't Let Vibe Coding Become Technical Debt: How Developers Can Balance Speed and Responsibility In an era where AI writes code as a daily routine, 'vibe coding' has indeed made development faster and more enjoyable—a single sentence can get a feature up and running. But when that code needs to go to production, be maintained over the long term, and be someone's responsibility, the clash between speed and maintainability, stability, and reliability becomes unavoidable.

June 23, 2026·Tech·visibility4

The Best Line of Code Is the One You Never Write: Meet Ponytail Ponytail is an open-source AI plugin that trains your coding assistant to think like a lazy senior engineer—solving problems by first using standard libraries and existing capabilities, and cutting out all unnecessary code.

June 17, 2026·Tech·visibility3

Tool Overload: The Pain Points of Vercel AI SDK's Tool-Only Architecture As the number of tools grows, relying solely on the Vercel AI SDK Tool layer starts to feel the strain. In this article, instead of rushing into MCP, we first lay out the problems you'll face with a pure Tool architecture.

June 17, 2026·Tech·visibility5

DeepSeek + Reasonix: Process 400M Tokens for Just Over $4 per Day Reasonix is a terminal AI coding agent designed specifically for the DeepSeek API. Rather than being a generic AI assistant wrapper, it deeply leverages DeepSeek's prefix caching mechanism with a cache-first architecture, minimizing the cost of repeated context to the extreme.

June 16, 2026·Essay·visibility10

How to Give AI Direct Access to MDN Docs Using MCP Recently, MDN officially launched its MDN MCP Server, which directly connects MDN docs and browser compatibility data to various AI tools—putting an end to guesswork when agents look up documentation and compatibility.

June 2, 2026·Tech·visibility17

Codex Subagents in Action: Building a Browser Game from Scratch This article will introduce how to use Codex Subagents to develop a product from scratch. You will see how multiple agents collaborate to build a space shooter game that runs directly in the browser, covering the entire process from design documents, visual assets, to testing and validation.

June 2, 2026·Tech·visibility22

Codex Subagents in Action: Batch Generate Tests, Check Compatibility, Translate Comments This article introduces an efficient approach for repetitive programming tasks at scale: organize tasks into a CSV, have Codex launch independent subagents for each row to process in parallel, then write the consolidated results back to an output CSV. Whether it's batch-generating unit tests, checking compatibility for React Query upgrades, or translating comments across an entire project, this pattern turns what would normally be done one-by-one into a process that finishes in minutes.

June 2, 2026·Tech·visibility5

Codex Subagents in Practice: Three Scenarios to Double Your Dev Efficiency Treat Codex Subagents as dedicated parallel teammates that handle the most time-consuming and easily overlooked exploration and verification tasks in daily coding, boosting your efficiency.

June 2, 2026·Tech·visibility12

Supercharging AI: Getting Started with Superpowers Skill Superpowers uses a variety of skills to train AI from a 'coding intern' into a 'professional engineer'.

May 30, 2026·Tech·visibility3

Engineers Who Use AI and Those Who Don't: Two Distinct Types Now 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.

May 29, 2026·Tech·visibility13

What Is a Skill? A Developer's Primer 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.

May 28, 2026·Tech·visibility77

OpenCode Go: A Unified Model Foundation for Heavy-Duty Coders 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.

May 27, 2026·Tech·visibility14

From Functions to Tools: Unlocking Tool Calling with Vercel AI SDK 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.

May 6, 2026·Tech·visibility14

Hermes Agent Deep Dive and Comparison with OpenClaw 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.

May 4, 2026·Tech·visibility78

Matt Pocock Skills: Making AI Code Like a Real Engineer 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.

May 3, 2026·Tech·visibility7

A Frontend Engineer's Guide to Getting Started with MCP 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.

May 2, 2026·Tech·visibility11

code-review-graph: More Precise AI Code Review with Fewer Tokens 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.