
Succeeded Mind
@SucceededMind • 347,336 subscribers
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Everyone’s hyped about AI apps, but here’s the truth: Shipping code ≠ shipping a product. The code is useless if the app breaks in production. Here’s the 3-step flow I used to ship a fully working app: Step 1: ChatGPT → generate a PRD Step 2: Cursor → build the app Step 3: TestSprite → auto-tests every function, finds bugs, and hands you a fix report instantly. I shipped a gym app after 3 test cycles—zero manual debugging. No testers. No QA. No wasted hours. AI coding is powerful. AI testing + fixing? That’s the real game-changer.
Succeeded Mind39,269 次观看 • 1 年前

I think we're reaching a point where context length, reasoning quality, and cost matter more than another leaderboard screenshot. After spending some time with Tencent Hunyuan Hy3, that's exactly the impression I got. The model handled long coding sessions, instruction following, and agent-style tasks without feeling unnecessarily "heavy." Instead of optimizing for one-off prompts, it feels designed for people who actually build with LLMs every day. Another thing that caught my attention is how much performance it packs into its architecture. According to Tencent, Hy3 delivers intelligence that's competitive with flagship open-source models 2–5× larger in parameter scale, making it an impressive balance of capability and efficiency. It's also released under the Apache 2.0 license, available through OpenRouter, and currently free to try for the next two weeks, making it a great opportunity for developers to experiment without worrying about inference costs. Curious to see how the community puts it to work over the next few weeks. Try it here: Thanks Tencent Hy for bringing another strong open model to developers. #Hy3 #Hunyuan #TencentAI #OpenSource
Succeeded Mind12,387 次观看 • 3 个月前
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