Every new conversation with AI means starting from scratch. You repeat project details, coding patterns, and preferences over and over.
Important decisions and architectural choices fade away. New team members and AI assistants miss critical context that shaped your codebase.
New developers and AI assistants need days or weeks to understand your project. This slows down productivity and creates bottlenecks.
RecCall is your project's memory. It captures, organizes, and shares your codebase context so AI assistants understand your project instantly—without you repeating yourself.
Every discussion with AI gets automatically saved as reusable context. Your best explanations become templates for future conversations.
Find relevant context instantly. RecCall uses AI to understand what you're working on and surfaces the right information automatically.
Share context across your team. New members and AI assistants get instant access to accumulated project knowledge.
Integrates seamlessly with Cursor, VS Code, Warp terminal, and more. No workflow changes required.
New team members become productive in hours instead of days. AI assistants understand your project from the first conversation.
Consistent context means AI suggestions align with your architecture and coding standards. Fewer rewrites, more right answers.
With full context, AI assistants provide more relevant suggestions that actually match your project's needs.
Scale knowledge as you grow. Every team member benefits from shared context, making AI assistance consistent across the organization.
Maintain context across complex codebases with multiple repositories. AI assistants understand your entire system architecture.
Your personal AI memory. Never lose track of important decisions, and get better AI help on long-running projects.
Get started in under 2 minutes. No credit card required.
1 2-3 hours per day wasted: Based on context switching research (Mark et al., 2005) showing 23-minute recovery time per interruption, and analysis of AI assistant usage patterns where developers have 5-10 conversations per day requiring context re-establishment. See: Research Data Sources
2 70% time saved: Based on productivity improvement studies showing context switching reduction can improve productivity by 40-70%, and correlation with GitHub Copilot study (Microsoft Research, 2022) showing 55% faster coding with AI assistance. RecCall addresses the context management gap. See: Research Data Sources
3 $50K+ annual value: Calculated based on average US developer salary (~$130,000/year, BLS 2024), time savings of 500+ hours/year (2-3 hours/day × 220 working days), plus additional productivity benefits. Calculation: 500 hours × $62.50/hour + productivity gains = $50,000+ per developer annually. See: Research Data Sources
Note: Statistics are based on industry research and conservative estimates. See the full research document for detailed methodology, sources, and references.