InLevel Up CodingbyPlaban Nayak·5d agoStop Making Your AI Agent Re-Read Your Entire Codebase Every SessionHow OpenWiki implements the Karpathy LLM Wiki pattern — and why it changes how you build coding agentsA response icon1A response icon1
InLevel Up CodingbyPlaban Nayak·Jun 23Loop Engineering: Building Self-Improving AI Agents with Four Nested LoopsA deep dive into production-grade agentic architecture using an insurance underwriting system as the experiment.
InLevel Up CodingbyPlaban Nayak·Jun 14SkillDAG: Teaching AI Agents to Navigate Their Own ToolsetThe Retrieval Failure Nobody Talks About
InLevel Up CodingbyPlaban Nayak·May 31Rebuilt Hermes Inside Claude CodeA practical guide to building a Modular Agentic OS with identity, memory, modular skills, and human-validated self-learningA response icon4A response icon4
InLevel Up CodingbyPlaban Nayak·May 24Hermes Agent - the Future of Proactive AIThe Memory Revolution: Why the Hermes Agent is the First AI That Actually Learns Your Business
InLevel Up CodingbyPlaban Nayak·May 17Attempt to mimic Claude Cowork locally using DeepAgents — Architecture Deep DiveWhat Is OpenCowork-deepagents?
InLevel Up CodingbyPlaban Nayak·May 10Recursive Multi-Agent Systems: From Research Paper to Implementation — Three Implementations…A complete technical guide to arXiv:2604.25917v1 — how the paper works, how we built two progressively faithful Python implementations…
InLevel Up CodingbyPlaban Nayak·May 2MCP vs CLI: Stop Over-Engineering Your AI Agent ToolingA hands-on comparison of Model Context Protocol and shell-based tool access in LangChain/LangGraph agents — with GitHub as the case study
InLevel Up CodingbyPlaban Nayak·Apr 19A deep-dive into Intelligent Document Processing :LandingAI Agentic Document Extraction vs Chandra…“Open-source just topped every OCR benchmark.” — the headline that made every AWS Textract invoice feel personal.
