Coderblock AI
AI web development, run like a real dev team
AI web development is delegating the software development cycle to an AI agent: it reads the existing codebase, plans the change, writes and edits files, and verifies the result. Coderblock's agent works this way on every request, coordinating specialized sub-agents for larger tasks, so a feature goes from your message to reviewed, running code on a live preview without you touching an IDE.
How does the agent handle a real codebase?
Like a careful developer: it reads the relevant files before editing them, searches the project for usages, and makes targeted edits instead of regenerating everything. That discipline is what lets you iterate on the same app for weeks without the codebase degrading into inconsistency.
What happens on bigger requests?
The agent becomes a coordinator. It splits the work and spawns sub-agents in parallel, for example one on the interface and one on API and database changes, then assembles the results. You see the whole process streamed live in chat: which files are being read, written, and why.
Where do quality and safety come from?
From the models and the loop. Generation runs on Anthropic's Claude Sonnet and Opus, with cheaper model modes when cost matters more than polish. Every change lands first on the development preview at *.coderblock.dev, so nothing reaches your production URL until you have seen it working and clicked deploy.
| Understand | Agent reads project files and searches the codebase |
|---|---|
| Plan | Work is split, sub-agents spawned for parallel parts |
| Implement | Targeted file edits and new code, streamed live |
| Verify | Hot-reloaded preview in 2-5 seconds |
| Release | One-click deploy to production, GitHub sync available |
FAQ
- What is AI web development?
- AI web development is having an AI agent perform the development cycle itself: reading code, planning changes, writing files and verifying results, driven by natural-language requests instead of manual programming.
- Does the agent modify code or regenerate the whole app each time?
- It modifies. The agent reads files first and applies targeted edits, so your existing behavior, data and design survive each iteration instead of being rebuilt from scratch.
- Can professional developers use this alongside their own workflow?
- Yes. Projects sync to GitHub, the code is standard React and TypeScript, and the built-in editor exposes every file, so the agent can coexist with hand-written commits.
- Which AI models do the development work?
- Anthropic's Claude Sonnet handles most work, with Claude Opus available for the highest-fidelity generation and lower-cost alternative models for budget-sensitive modes.