The Challenge with AI-Assisted Development
Today's AI coding assistants are powerful, but they often dive straight into generating code without fully understanding the context. This can lead to solutions that don't quite fit, require extensive rework, or miss the bigger architectural picture.
We've been thinking about how to do better.
Introducing Agent Mode
Agent Mode is a new way to work with AI in Frontic Studio. Instead of jumping directly into code generation, Agent Mode takes a structured approach that keeps you in control while leveraging AI capabilities intelligently.
How Agent Mode Works
Agent Mode follows a deliberate workflow designed for complex development tasks:
- Research - The agent explores your codebase to understand existing patterns, architecture, and context before proposing anything.
- Plan - Based on its research, the agent creates an actionable plan, breaking down your request into clear, manageable steps.
- Approve - You review and approve the plan before any code is generated. No surprises.
- Execute - The agent works through the approved plan step-by-step, with visibility into what's happening at each stage.
- Review - Final review of all changes before committing. You stay in control throughout the entire process.
This approach means fewer wrong turns, better architectural decisions, and complete transparency into what the AI is doing on your behalf.
Agent Skills
Agents in Studio aren't one-size-fits-all. They draw on specialized skills based on what your task requires:
Development
- Explore - Discovers and maps your codebase, helping you understand project structure and find what you need.
- API - Builds and optimizes backend services, APIs, and server-side logic.
- Frontend - Crafts user interfaces with modern component patterns.
Design
- Design Architect - Shapes design systems, themes, and visual consistency across your project.
- UX Designer - Specializes in user experience, interaction design, and usability optimization.
Optimization
- Analytics Expert - Ensures measurable impact by setting up tracking, defining KPIs, and monitoring success metrics.
- Performance Optimizer - Optimizes code efficiency, loading times, bundle size, and runtime performance.
In Agent Mode, these skills work together. The agent selects and coordinates the right skills based on your task, so you get focused expertise without having to manage the complexity yourself.
Why Planning First?
The research-plan-execute approach isn't just about being methodical. It addresses real problems we've seen with AI coding tools:
- Avoid wasted effort - Understanding the codebase first prevents solutions that don't fit your existing architecture.
- Better decisions - Planning surfaces architectural trade-offs before you've committed to an approach.
- Full transparency - You see exactly what the agent intends to do before it does it.
- Human in the loop - Approval checkpoints mean you're never surprised by AI-generated changes.
What's Next
Agent Mode is currently in development and will be coming to Frontic Studio beta. We're taking the time to get the workflow right because we believe this structured approach is the future of AI-assisted development.
In the meantime, the individual skills are already available in Studio beta for you to explore. Each brings its own expertise to your development workflow.
Stay tuned for Agent Mode preview access. We'll share more as we get closer to release.
