Best AI for coding in 2025 : which model wins for app builders?
Claude’s edge for vibecoding Scabld,
Hey Indie Hackers! I’ve been deep in the weeds building Scabld, an AI tool to vibe-code Flutter apps fast. Testing models, I found Claude’s precision trumps ChatGPT’s chatter for full app builds, think ‘clean to-do app’ into Flutter code + preview in minutes. ChatGPT’s versatile, sure, but it rambles. Gemini’s powerful, Grok’s quirky, DeepSeek’s lean... yet Claude fits our vibe best. We’re prepping the beta, delayed by life (appendicitis hit us hard), but it’s close now.
What’s your go-to AI for coding ? Any surprises in your stack ?
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Hey there!
Interesting perspective on your AI toolkit for coding—Claude's precision does seem like a great fit for your Flutter workflow.
One observation worth mentioning: the effectiveness of any AI tool often depends less on the model itself and more on how you structure your prompts. With the right approach, even supposedly "rambly" models can deliver focused results. Have you experimented much with different prompting techniques across platforms?
For my own development work, I combine v0 by Vercel for rapid prototyping, DeepSeek for streamlined outputs, and ChatGPT when I need more flexibility—but ultimately, none of these tools replace fundamental developer knowledge. The real magic happens when you pair these AI capabilities with solid programming expertise.
Looking forward to seeing Scabld's beta—hope the recovery from appendicitis went smoothly.
Hey, thanks for the comment! Totally agree, it’s all about how we structure our prompts. We’ve been working hard on that, testing across multiple platforms!
I think it’ll keep evolving daily. You’re right, for now, fundamental knowledge is key to get something clean !
We’re on it, though, thanks you !
Great question — though I’m not building coding tools, we’re using LLMs in a very focused way. Our AI agent manages food orders in restaurants by phone/SMS, including multilingual support. Model choice was less important than fine-tuned UX + logic orchestration. Curious what others are using for domain-specific agents?
Cool use case! UX + logic tuning trumps raw model power for sure. For domain-specific agents, I’ve seen folks lean on Claude or GPT-4 with custom prompts. What’s your stack like?
Totally agree — the real win is in the orchestration, not just raw model power.
We’ve been leaning into GPT-4o lately — the multi-modal support and faster latency are a big win for live ordering flows.
Great post! We are testing different AI tools to find the best ones, and they all have their pros and cons. I think this still needs more research, and of course, there will be new tools like the one you are working on.