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AI 资讯 Dev.to

Learn to code.

My learning so far I absolutely love learning to code. I gave it up to vibe code earlier last year and completely regret it. At first it felt like I was moving faster, but over time I realized I was skipping the part that actually made me better. My learning journey is fueled by passion and the hopes to move into a Go/SWE/Cloud type role. I do not know exactly how I will go about doing so, but I will work until I am noticed. Right now I am trying to focus on building real understanding. Not just getting something to work, but knowing why it works. I want to be able to read errors, debug my own code, understand the tools I am using, and slowly become the kind of developer that can solve problems without panicking. Learn to code! If anyone has any doubts on if coding is "worth it" still, I can account for how personally fulfilling it is. Solving a bug/problem in your own code gives me a personal high. There is something different about struggling with something, walking away, coming back, and finally seeing it click. It reminds you that you are actually learning. Every small fix feels like proof that you are getting better. I am not against using tools or AI. I still think they can be helpful. But I do think there is a big difference between using them to learn and using them to avoid learning. I had to learn that the hard way. So if you are new, or if you stopped for a while like I did, I really think you should keep going. Build small things. Break stuff. Fix it. Read docs even when they are boring. Ask questions. Take notes. Let yourself be bad at it for a while. I do not know where this journey will take me yet, but I know I want to keep showing up.

Hunter 2026-07-01 02:13 8 原文
AI 资讯 Dev.to

mcpgen: Turn any OpenAPI spec into an MCP server in seconds

I got tired of manually writing MCP tools for every REST endpoint I wanted to expose to an LLM. So I automated it. mcpgen reads an OpenAPI JSON or YAML file and generates a complete, ready‑to‑run MCP server in Python. 🔧 What it does Parses OpenAPI 3.0 / 3.1 specs Creates one MCP tool per endpoint (with snake_case names) Handles auth automatically (API key, Bearer, etc.) Outputs a clean, human‑readable Python script Zero runtime surprises – just mcp and httpx 🚀 Quick start bash pip install mcpgen mcpgen my-api.json -o my-mcp-server python my-mcp-server/server.py The generated server runs over stdio – ready to plug into Claude Desktop or any MCP client. 🧪 Real‑world test Recently a contributor added an OpenAPI 3.1 fixture (Xquik API) with lookupTweet and getUser endpoints. The tool generated the correct tools, including path parameters and x-api-key auth, on the first try. All 18 tests pass. It works. 🤔 Why you might want it If you’re building LLM agents that need to interact with APIs, mcpgen eliminates the boilerplate. You don’t have to write a single @app.tool() decorator by hand. It also makes it dead simple to experiment – change your API spec, regenerate the server, and you’re done. 📦 Links GitHub: JnanaSrota/mcpgen PyPI: pip install mcpgen MIT licensed, open to contributions 🙏 Feedback If you try it with your own API spec and something breaks (or works beautifully), I’d love to hear about it. Drop a comment or open an issue. Thanks for reading!

56 Prince Pal 2026-07-01 02:11 7 原文
AI 资讯 The Verge AI

Moto’s Tag 2 tracker is $20 for a limited time

Announced at CES 2026, the Moto Tag 2 has finally arrived in the US. The Bluetooth tracker with improved battery life over its predecessor, plus UWB sensing for more accurate tracking, is available through Motorola’s site at a special $19.99 launch price (originally $29.99). There are plenty of trackers for Android owners to consider, but […]

Cameron Faulkner 2026-07-01 01:38 8 原文
AI 资讯 Product Hunt

Clusy

AI notebook platform for modern data science Discussion | Link

Eldar Hasanov 2026-07-01 01:37 4 原文
开发者 MIT Technology Review

Roundtables: Longevity’s Next Frontier: “Reprogramming” Your Body

Listen to the session or watch below Billions of dollars are flooding into efforts to reverse aging as scientists explore ways to return cells to a younger state. But how far off are these experimental treatments? Will they really work? Watch a conversation exploring longevity’s new focus. Speakers: Mary Beth Griggs, science editor and Jessica…

MIT Technology Review 2026-07-01 01:36 15 原文
AI 资讯 The Verge AI

Netflix is using an AI-generated Gene Wilder voice in its Willy Wonka reality show

A new teaser trailer confirmed that Wonka's The Golden Ticket will premiere on Netflix on September 23rd, following its Squid Game reality show in the trend of creating real competitions based on fictional torture scenarios. While the sets seen in the trailer are real and not some Glasgow-style AI fakes, the voiceover is AI-generated. Deadline […]

Richard Lawler 2026-07-01 01:19 12 原文