RL4 Blog
Guides, tutorials, and insights on AI context portability, cross-LLM workflows, and building better development habits with AI.
Featured
AI Context Best Practices: The Complete Checklist
Everything you need for AI context mastery. Daily habits, weekly routines, and the practices that separate context pros from context chaos.
Cursor Context Loss: Why It's Killing Productivity (& How to Fix)
Lose hours re-explaining code to AI? Learn why Cursor context disappears and the simple fix that saves developers 2+ hours daily.
How to Export Cursor Chat History (Complete 2026 Guide)
5 methods to export and search Cursor chat history — from automatic MCP capture to manual SQLite. Includes cloud backup and RAG search.
The Future of AI Memory: Why Context Portability Matters
AI tools will have persistent memory. But will it be portable? Why context ownership matters for the future of development workflows.
Use RL4 with Claude Code: Cross-LLM Context in 5 Minutes
Set up RL4 MCP server in Claude Code and share context seamlessly between Cursor IDE and Claude Code. Step-by-step cross-LLM setup guide.
RL4 MCP Tools for Cursor IDE: The Complete Reference (14 Tools)
Master all 14 MCP tools exposed by RL4 in Cursor IDE. From run_snapshot to rl4_ask — learn what each tool does, when to use it, and real usage examples.
All Articles (27)
AI Context Best Practices: The Complete Checklist
Everything you need for AI context mastery. Daily habits, weekly routines, and the practices that separate context pros from context chaos.
AI Context Management for Development Teams
Scale AI-assisted development across your team. Learn patterns for shared context, onboarding, and collaborative AI workflows.
AI Conversation Compression: How to Fit 128 Messages in One Snapshot
Learn the science behind 10-100x AI conversation compression. Preserve meaning while dramatically reducing token usage.
Auto-Learning: How to Extract Skills from AI Conversations
Turn every AI conversation into reusable patterns. Learn how automatic skill extraction builds a personal knowledge base from your development history.
The Developer's Guide to Backing Up Cursor Chat History
Protect your Cursor conversations from data loss. Learn backup strategies from simple file copies to automated snapshot systems.
Building a Context-First Development Workflow
Shift from code-first to context-first development. Learn how treating context as a first-class asset transforms AI-assisted workflows.
Your First AI Snapshot: A 5-Minute Tutorial (2 Methods)
Create portable AI context in 5 minutes — via the Wizard UI or MCP chat command. Step-by-step guide for Cursor IDE, Claude Code, and any LLM.
Cursor Context Loss: Why It's Killing Productivity (& How to Fix)
Lose hours re-explaining code to AI? Learn why Cursor context disappears and the simple fix that saves developers 2+ hours daily.
Evidence-Based Development: Proving What AI Actually Built
Track the connection between AI conversations and code changes. Learn how evidence systems provide proof of what was actually implemented.
How to Export Cursor Chat History (Complete 2026 Guide)
5 methods to export and search Cursor chat history — from automatic MCP capture to manual SQLite. Includes cloud backup and RAG search.
The Future of AI Memory: Why Context Portability Matters
AI tools will have persistent memory. But will it be portable? Why context ownership matters for the future of development workflows.
Hidden Cost of AI Context Loss: What Your Team is Losing
Losing 4 weeks/year to re-explaining? Calculate your team's hidden context switching cost and see how top teams solve cursor productivity loss.
Multi-Thread Context Management for Complex Projects
Manage context across multiple AI conversations. Learn to combine threads, maintain coherence, and avoid context fragmentation.
How to Onboard Developers 5x Faster with AI Context
Cut developer onboarding from weeks to hours. Share AI context snapshots for instant project knowledge transfer. Tested at scale.
How to Recover Lost Cursor Conversations
Lost your Cursor chat history? Step-by-step guide to recover conversations from orphaned workspaces, renamed folders, and purged databases.
Use RL4 with Claude Code: Cross-LLM Context in 5 Minutes
Set up RL4 MCP server in Claude Code and share context seamlessly between Cursor IDE and Claude Code. Step-by-step cross-LLM setup guide.
How RL4 Gives Cursor AI Persistent Memory Across Every Session
RL4 captures your Cursor AI conversations, file changes, and decisions — then makes them searchable across sessions. Persistent memory for your AI editor.
RL4 for Cursor IDE: Setup, Workflow, and Daily Usage Guide
Set up RL4 in Cursor IDE in 2 minutes. Learn the daily workflow: snapshots, context search, timeline tracking, and pattern detection for persistent AI memory.
RL4 MCP Tools for Cursor IDE: The Complete Reference (14 Tools)
Master all 14 MCP tools exposed by RL4 in Cursor IDE. From run_snapshot to rl4_ask — learn what each tool does, when to use it, and real usage examples.
Model Context Protocol: How RL4 Makes Your AI Context Portable and Permanent
Learn how RL4 implements Model Context Protocol to make your development context portable across AI tools. RCEP compression, 14 MCP tools, and Supabase sync.
Search Your AI Chat History: rl4_ask Turns Conversations into Knowledge
Stop scrolling through old Cursor chats. rl4_ask lets you search your entire AI conversation history with natural language — with cited sources.
Stop Re-Explaining Your Code to AI (Do This Instead)
Tired of briefing AI from scratch every conversation? Learn the one-time capture technique that eliminates repeated explanations forever.
Switch LLMs Mid-Project Without Losing Context (Tested Method)
Done re-explaining code when switching Cursor to Claude? Learn the 2-minute portable context technique that preserves your AI memory across any LLM.
Understanding Cursor's Data Retention: What Gets Kept and What Gets Purged
Demystify Cursor's chat history behavior. Learn how long conversations last, what triggers purges, and how to protect important data.
Continue, Review, Handoff, Time Machine: Choosing the Right AI Context Goal
Master the 4 context goals. Learn when to use Continue vs Review vs Handoff vs Time Machine for different development scenarios.
RL4 MCP Server: Persistent AI Memory for Your IDE
RL4 runs as an MCP server inside Cursor and VS Code, giving your AI editor persistent memory. Learn how its 14 tools, RCEP compression, and Supabase sync work.
Why Use RL4 Instead of Manual Summaries?
Compare automated snapshots vs manual context documentation. See why developers are switching from copy-paste to intelligent capture.
Categories
Understanding the Problem
Why context loss matters and how it affects your workflow
How-To Guides
Step-by-step tutorials to master RL4
Advanced Techniques
Power user strategies for complex workflows
Insights
The future of AI-assisted development
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