Deep research for migrations and upgrades
Background jobs fetch framework migration guides, best practices, API docs. Use cases: Next.js major version upgrade, Stripe API version upgrade. Research influences implementation_plan prompt.
Migration-Focused Query Generation
AI generates context-aware research queries for framework migrations, API upgrades, and library version changes. Multi-angle exploration for complete coverage.
Parallel Background Research
Execute multiple research tasks concurrently - fetch Next.js migration guide, React upgrade docs, and TypeScript compatibility notes simultaneously.
Plan & Task Integration
Research findings attach to task descriptions or implementation plans. Influences implementation_plan prompt with authoritative sources and best practices.
Research Intelligence Engine
Smart Query Expansion
AI analyzes your initial query and generates strategic variations for comprehensive research coverage.
- Context-aware query variations
- Semantic synonym expansion
- Domain-specific terminology
- Multi-perspective research angles
AI Research Execution
Sophisticated AI models execute research tasks in parallel, providing comprehensive analysis and insights.
- Parallel research task execution
- Streaming results with progress tracking
- Context-aware analysis and synthesis
- Development-focused insights
AI Research Synthesis
Advanced AI models analyze your project context and generate targeted research insights tailored to your development needs.
- Project-aware research generation
- Context-sensitive analysis
- Development-focused insights
- Implementation-ready recommendations
Context Integration
Research results are automatically integrated with your task description, enriching it with relevant findings and recommendations.
- Automatic task enhancement
- Structured result formatting
- Implementation plan integration
- Development workflow alignment
Two-Stage AI Research Process
Research Query Generation
AI analyzes your task description and project context to generate sophisticated research queries. Creates multiple strategic research angles for comprehensive coverage.
Parallel Research Execution
Multiple AI models execute research tasks concurrently, each focusing on different aspects of your requirements. Results are synthesized into actionable development insights.
Development-Focused Research
Implementation-Ready Migration Insights
Research results formatted for implementation plans. Code examples, migration scripts, and step-by-step upgrade paths.
- Migration code snippet extraction
- Upgrade script templates
- Breaking change workarounds
- Rollback strategy notes
Migration-Focused Filtering
Research scope tailored to your migration scenario - only relevant framework versions, API changes, and compatible patterns.
- Framework version compatibility checking
- Breaking change identification
- Migration path recommendations
- Deprecated API alternatives
AI Research Capabilities
Multi-Model Research
Leverages multiple AI models to execute research tasks with different perspectives and expertise areas.
Project Context Analysis
AI analyzes your project structure, technology stack, and codebase to generate highly relevant research.
Parallel Processing
Execute multiple research tasks simultaneously with intelligent result aggregation and synthesis.
Optional Research Helper Capabilities
Framework Migration Intelligence
AI fetches official migration guides, breaking changes, and best practices for major framework version upgrades like Next.js 14 → 15 or React 17 → 18.
API Documentation Research
Background jobs pull latest API documentation, SDK changes, and version compatibility notes for services like Stripe, AWS, or Twilio.
Background Processing
Long-running research tasks execute in the background with real-time progress updates. No blocking the main workflow.
Plan Context Integration
Research findings automatically attach to task descriptions or implementation plans. Influences implementation_plan prompt with authoritative sources.
Best Practice Extraction
AI identifies and summarizes recommended patterns, anti-patterns, and gotchas from official documentation and community sources.
Cost-Optimized Research
Intelligent model selection and query optimization. Research only when needed - not every task requires it.
Related Features
Discover more powerful capabilities that work together
Voice to Terminal Commands
Speak naturally, execute precisely. No more typing complex commands.
Learn moreMulti-Model Planning Synthesis
Get the best insights from GPT-5.2, Claude, and Gemini combined
Learn moreAccelerate Migrations with Background Research
The Deep Research and Web Search features are available in the PlanToCode desktop application. Download the build for your platform to start integrating web research into your development workflow.