We’re rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker.
We’re rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker.
Available now in VS Code & JetBrains: just click ✨ and ship better prompts, faster.
Available now in VS Code & JetBrains: just click ✨ and ship better prompts, faster.
Agent reads your codebase, understands structure, and renders a Mermaid diagram—directly from your prompt.
Agent reads your codebase, understands structure, and renders a Mermaid diagram—directly from your prompt.
✅ Just click Enhance ✨
✅ Just click Enhance ✨
But tracking down the cause? Hours of inspecting styles and guessing at layout logic.
Drag the bug into our agent. It analyzes the UI, finds the root cause, and proposes a fix — with context.
But tracking down the cause? Hours of inspecting styles and guessing at layout logic.
Drag the bug into our agent. It analyzes the UI, finds the root cause, and proposes a fix — with context.
- Supabase, Figma, Vercel, Cloudflare, Sentry, and more
- Connect your stack in seconds
- Add your own tools to the agent's context
Don’t just write code, build software.
- Supabase, Figma, Vercel, Cloudflare, Sentry, and more
- Connect your stack in seconds
- Add your own tools to the agent's context
Don’t just write code, build software.
Every step is logged. Every edit is reversible.
Agent creates checkpoints before running actions — giving you full control without slowing you down.
Like version control for your AI.
Every step is logged. Every edit is reversible.
Agent creates checkpoints before running actions — giving you full control without slowing you down.
Like version control for your AI.
- Drag in a screenshot.
- Agent identifies the UI issue (CSS, layout, logic).
- Suggests a fix.
- Runs only the relevant tests.
Debugging becomes: drop, fix, confirm.
- Drag in a screenshot.
- Agent identifies the UI issue (CSS, layout, logic).
- Suggests a fix.
- Runs only the relevant tests.
Debugging becomes: drop, fix, confirm.
Use Agent to go from ticket → code → PR without switching tools:
- GitHub: branch, commit, PR
- Linear: issue detection + resolution
- Notion, JIRA, Confluence: context → implementation
AI becomes part of your actual workflow.
Use Agent to go from ticket → code → PR without switching tools:
- GitHub: branch, commit, PR
- Linear: issue detection + resolution
- Notion, JIRA, Confluence: context → implementation
AI becomes part of your actual workflow.
Agent adapts to how you work:
- Learns your coding style
- Remembers previous refactors
- Adjusts to your infra and conventions
Memory builds over time. You don’t have to re-teach it on every session.
Agent adapts to how you work:
- Learns your coding style
- Remembers previous refactors
- Adjusts to your infra and conventions
Memory builds over time. You don’t have to re-teach it on every session.