AI Coding Assistant Guides & Tutorials
Expert guides on Claude Code, Cursor, and long-horizon AI task management. Master AI-paired programming with persistent memory.
Get Your Free AI Coding Tutorial
Learn how to solve context loss in Claude Code and Cursor
By continuing, you agree to our Terms and Privacy Policy.
Featured Articles
Crash Protection for AI Coding Sessions: How Breadcrumbs Keep You Moving
CLI crashes, reboots, and context limits used to mean lost progress. Learn how the breadcrumb pattern gives your AI assistant precise crash recovery in under 2 seconds.
The Four-System Architecture: Why Your AI Coding Assistant Needs Four Types of Memory
Auto-memory, tasks, context, and live subtasks each solve a distinct problem. Learn how these four systems work together for crash-resilient AI development.
Skills Are the Discipline: Why AI Agents Need Reusable Procedures to Keep Memory Trustworthy
An AI memory store without consistent maintenance drifts into chaos. Skills are the versioned procedures that keep todo-mcp state trustworthy across sessions, crashes, and model switches.
Getting Started
New to AI-paired programming? Start here.
The Human-AI Collaboration Guide: A New Way of Working with AI Coding Assistants
When your AI assistant has persistent memory, everything changes. Learn the paradigm shift from managing AI memory to directing AI work.
Solving Context Loss in Claude Code and Cursor
Every AI coding session eventually hits the context limit. Learn how persistent task memory eliminates this problem entirely.
Model Context Protocol (MCP) Servers Explained
What are MCP servers, how do they work, and why they matter for extending AI coding assistant capabilities.
Core Architecture
How persistent memory works under the hood.
The Four-System Architecture: Why Your AI Coding Assistant Needs Four Types of Memory
Auto-memory, tasks, context, and live subtasks each solve a distinct problem. Learn how these four systems work together for crash-resilient AI development.
Crash Protection for AI Coding Sessions: How Breadcrumbs Keep You Moving
CLI crashes, reboots, and context limits used to mean lost progress. Learn how the breadcrumb pattern gives your AI assistant precise crash recovery in under 2 seconds.
Your Context Window Forgets: Six Ways AI Agents Lose Continuity and How to Catch Every One
AI coding agents lose their place in six distinct ways. Here is what breaks continuity and the architecture that catches each failure mode.
Methodology
Plan, execute, verify — the complete workflow.
Planning Long-Horizon Tasks with AI Agents
How to plan multi-day projects with Claude Code and Cursor when your AI assistant can remember across sessions.
Creating Effective Tasks for AI Coding Assistants
The art of task decomposition for AI agents. Learn how to create tasks that lead to successful autonomous execution.
Maintaining Quality Discipline in AI-Assisted Development
How to maintain code quality when working with AI coding assistants. Verification patterns and quality gates.
Troubleshooting Guide: When AI Agents Get Stuck
What to do when your AI assistant goes off track. Recovery patterns and intervention strategies.
Advanced
Skills, model switching, and long-horizon work.
Skills Are the Discipline: Why AI Agents Need Reusable Procedures to Keep Memory Trustworthy
An AI memory store without consistent maintenance drifts into chaos. Skills are the versioned procedures that keep todo-mcp state trustworthy across sessions, crashes, and model switches.
Long-Horizon AI Tasks: Managing Multi-Day Projects with CLI Agents
How to structure and execute projects that span multiple sessions with AI coding assistants.
Beyond Code: When Redoing a Step Costs More Than a Recompile
AI memory pays off most when steps are expensive to repeat. Document audits, hardware flashes, test suites, and signed builds all benefit from crash-resistant state.
Swap the Engine Without Stopping the Car: Model Switching with Persistent AI Memory
Use a powerful model for design and a fast model for execution — without losing context. When state lives outside the model, switching is seamless.
Comparisons & Overviews
How the tools and patterns compare.
Claude Code vs Cursor vs GitHub Copilot: Which AI Coding Tool is Best?
An in-depth comparison of the leading AI coding assistants. Features, pricing, and use cases explained.
What Good Looks Like: Recognizing Effective AI Agent Usage
A field guide to understanding what healthy AI assistant usage looks like, warning signs to watch for, and the expected flow of operations.
Release Notes
How todo-mcp evolved with the platform.
Todo-MCP v2.5: Adapting to Claude's Auto-Memory
Claude Code shipped auto-memory and the old two-system framing no longer fit. Here is how todo-mcp adapted — and what it means for your workflow.
Todo-MCP and Skills: Why a Tool Built Before Auto-Memory Still Matters
Todo-mcp was built before skills existed, before auto-memory, before TaskCreate had its current name. It is still here — and better than when it started. Here is why.
Ready to Master AI-Paired Programming?
Get your free setup tutorial and start shipping faster
By continuing, you agree to our Terms and Privacy Policy.