Vollständige Feature-Flag-Lebenszyklus-Planung
Planen, implementieren, testen und bereinigen Sie Feature-Flags mit strukturiertem Lifecycle-Management
$5 free credits • Pay-as-you-go • Works with your existing tools
The problems you face today
How it works
Feature-Flag-Implementierung und Rollout-Strategie planen
Validierungs- und Test-Prozeduren generieren
Rollout mit Überwachung und Sicherheitsprüfungen ausführen
Flag-Cleanup und -Rückzug planen und ausführen
Key capabilities
Technical implementation
Intelligent File Discovery
Hierarchical folder selection, pattern filtering, and AI relevance assessment
- Root folder selection based on task
- Targeted regex pattern groups
- LLM analyzes actual file contents
- Automatic dependency detection
- Files organized into XML for LLM consumption
Multi-Model Planning
Generate multiple implementation approaches using different AI models, then synthesize the best solution
- OpenAI GPT‑5 family (GPT‑5 and GPT‑5 Thinking/Pro), historical o‑series (e.g., o3 variants); Anthropic Claude Sonnet 4 and Opus 4.1; Google Gemini 2.5 Pro - availability and features vary by plan and endpoint (ChatGPT vs API).
- AI architect merges best insights
- Your guidance shapes the merge
Use official vendor docs to confirm features like streaming, function calling, and background mode for each model.
Quick setup for launchdarkly
Install PlanToCode
Download for your platform. Launches in seconds, no complex setup.
Connect your tools
Works seamlessly with launchdarkly. Just copy and paste.
Start planning
$5 free credits to start. Generate your first implementation plan in under a minute.
Available for macOS & Windows • $5 free credits
What developers achieve
Explore related topics
Run Claude Code in a Real Terminal
Bring Claude Code's actions into persistent PTY sessions with review and recording
Run Aider Sessions with Plan Guidance
Transform Aider's collaborative coding with structured implementation plans
Claude with Full Monorepo Context
Give Claude complete understanding of your monorepo structure and dependencies
Bridge Cursor Outputs to Terminal Execution
Execute Cursor's generated commands safely in persistent terminal sessions
Synthesize o3 Reasoning into Plans
Transform o3's complex reasoning outputs into executable implementation plans
Cursor Composer with Architectural Context
Give Cursor's Composer the system-wide awareness it needs
Related resources
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