Devv vs bolt.diy
Detailed side-by-side comparison to help you choose the right tool
Devv
🟡Low CodeAI App Builders
Devv is an AI coding agent purpose-built for indie hackers and small teams shipping full-stack AI-powered products, combining code generation with opinionated stacks (Next.js, Supabase, Stripe, AI SDKs) so the agent produces working applications rather than disconnected snippets.
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Custombolt.diy
🔴DeveloperAI App Builders
bolt.diy is the open-source, community-driven fork of Bolt.new from StackBlitz Labs — letting developers prompt, run, edit, and deploy full-stack web applications using any LLM they choose (OpenAI, Anthropic, Gemini, DeepSeek, Ollama, Groq, and more) on infrastructure they control.
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CustomFeature Comparison
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Devv - Pros & Cons
Pros
- ✓Opinionated AI-native primitives mean less plumbing for chat, embeddings, and agent loops
- ✓Output is a real GitHub repo you own — no lock-in to a proprietary runtime
- ✓Pre-wired Supabase and Stripe shortens the path from idea to billable SaaS
- ✓Targets the indie hacker workflow specifically, not enterprise team workflows
- ✓Free tier is generous enough to validate ideas before paying
Cons
- ✗Opinionated stack is a downside if you prefer Postgres-on-Railway or Clerk over Supabase
- ✗Less mature than Bolt.new or Lovable in pure full-stack quality and design polish
- ✗Vendor-published pricing is sparse — exact Pro monthly rate requires visiting the site
- ✗AI-native templates can become outdated as the underlying AI SDKs evolve
- ✗Documentation lags behind product velocity — expect Discord and community help
bolt.diy - Pros & Cons
Pros
- ✓Public GitHub template with strong community signal: 19.5k stars and 10.4k forks were visible on the repository page in the 2026-06-15 capture.
- ✓Forked from stackblitz/bolt.new, so it targets the same prompt-run-edit-deploy workflow rather than a generic chatbot coding interface.
- ✓Designed around user-selected LLMs, which gives technical teams more flexibility than app builders tied to a single model provider.
- ✓The repository is public, so developers can inspect the code, fork it, and adapt the implementation to their own infrastructure.
- ✓The project shows active development signals with 77 issues and 39 pull requests visible on the GitHub page in the 2026-06-15 capture.
- ✓Best suited for developers who want more control over their AI app builder stack than hosted-only products usually allow.
Cons
- ✗No hosted product or managed onboarding is visible in the provided website content, so users should expect a developer-led setup process.
- ✗The GitHub page shows 77 issues and 39 pull requests, which can mean users may encounter unresolved bugs or fast-moving changes.
- ✗Pricing for model usage, hosting, and deployment is not published on the repository page, so total cost depends on the user’s own setup.
- ✗Non-technical users may find it harder to use than hosted AI app builders because the primary website is a GitHub repository.
- ✗Commercial support, enterprise SLAs, and managed security documentation are not visible in the provided website content.
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