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Explore technical articles and guides about ai.
Caveman: The Skill That Teaches AI Agents to Shut Up
Caveman teaches AI agents to talk like cavemen. Julius Brussee's viral skill claims 75% fewer tokens — real Reddit measurements and the brutal verdict.
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#AI Agents 
Ponytail: The Viral Skill That Teaches You...
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.
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#AI Agents 
The Persistent Memory Stack I Actually Use...
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,
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#AI 
Cross-Agent MCP Servers for Persistent
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.
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GitHub Agentic Workflows: Automation With ...
CI/CD already automates builds and deploys, but we still spend hours on triage, CI failures, and stale documentation. GitHub Agentic Workflows pushes automation one step further: agents operating inside defined guardrails to handle that repetitive work with judgement.
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#CI/CD 
GSD Core: the Anti-Ceremony Framework That...
Deep dive into GSD Core (formerly Get Shit Done): 33 agents, wave execution, 200K fresh context per subagent, and the Discuss→Plan→Execute→Verify→Ship phase loop. How to install it, when to use it, and when not to.
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