Agentic Workflows AI Tools

What it does: An AI-powered code editor focused on agentic workflows, multi-file editing, and in-editor refactoring.

How you'll use it:

• Multi-file feature development with agent-guided refactors
• Complex codebase changes coordinated across modules

Performance: Top-tier tool with 91/100 score. Proven reliability for production use.

What it does: Google's revolutionary AI-powered IDE that enables autonomous AI agents to handle complex coding tasks through an agent-first approach with dual interface views.

How you'll use it:

• Orchestrating multiple AI agents to work on different parts of a large codebase simultaneously
• End-to-end feature development from design mocks to implementation using multimodal AI

Technical advantages: Multiple AI models for different tasks

Performance: Top-tier tool with 91/100 score. Proven reliability for production use.

What it does: AWS's spec-driven agentic IDE that transforms natural language into structured requirements, designs, and tasks—enabling autonomous AI agents to work for hours or days with persistent context.

How you'll use it:

• Converting product requirements into structured specs and implementation plans before writing any code—ensuring alignment between stakeholders and developers
• Running autonomous agents on complex features overnight, returning to completed implementations with full audit trails of decisions made

Technical advantages: Latest Claude Sonnet 4 model

Performance: Solid performer with 85/100 score. Good choice for most development scenarios.