34k stars in six days. A skill that forces Claude Code, Codex, Cursor and friends to walk a six-rung ladder before writing a single line. 80-94% less code, but is it really that good? A deep technical analysis and honest comparison.
Honest technical deep dive into the persistent memory stack I combine daily in my projects: opencode-supermemory for auto-compact, basic-memory as main memory with Markdown + graph, and forgetful as procedural skills layer. With real configuration examples for Claude Code, Codex,
Discover how rules.md, .cursorrules, and the .mdc format have revolutionized the way we guide AI coding assistants in Android and Kotlin development projects.
Exhaustive technical comparison of three cross-platform MCP servers to give AI agents persistent memory: opencode-supermemory (cloud), basic-memory (Markdown + graph), and forgetful (atomic Zettelkasten). Works with Claude Code, Codex, Cursor and more.
OpenClaw for ready-to-use agents, Vercel AI SDK with Next.js for custom development, OpenAI and Claude models, MCPs for integrations, and Cursor/Claude Code for programming. Complete analysis with practical examples and cost considerations.
LangGraph, CrewAI, n8n, AutoGen, Cursor, Claude Code, OpenAI Agents SDK — a community debate emerged about which of these will still exist in a year. Here's an honest breakdown.
Autocomplete is a thing of the past. Discover how AI Agents like Cline and Cursor are redefining software development, allowing for multi-file editing and autonomous command execution.
