Manav Gupta·Apr 1What I Found Inside Claude Code’s 513K Lines of Source CodeI spent the last week reading the source code of Claude Code — Anthropic’s AI coding agent. All 1,902 files. All 513,000 lines of…
Manav Gupta·Jan 29China’s AI Strategy: What Every Executive Needs to KnowWhen we recorded Episode 3 of Ship AI, I expected to tell a story about how US export controls were slowing down Chinese AI. The story I…
Manav Gupta·Sep 12, 2025The 10 Principles of Enterprise AI: Your Next AI System Should Be a Choreography of Autonomous…*Building enterprise AI that actually works at scale requires a fundamental shift in how we think about AI architecture.*
Manav Gupta·Aug 1, 2025I Built an AI System That Analyzes Git Changes and Generates PR StrategiesA practical look at using MCP to automate development workflow decisionsA response icon1A response icon1
Manav Gupta·May 26, 2025Traditional Automation vs AI AgentsThis blog article further contrasts traditional automation vs the emerging AI Agents.A response icon1A response icon1
Manav Gupta·May 22, 2025Refactoring a CrewAI app to MCP: A Journey to Modular Agentic SystemsOr, how I transformed a monolithic AI agent application into a scalable, modular architecture using the Model Context Protocol
Manav Gupta·May 11, 2025From Transformer to MambaNo doubt you have heard, used, even fine tuned large language models based on transformer architecture. As the arms race of improving LLMs…
Manav Gupta·May 7, 2025Classical Agent Principles vs. Modern LLM ImplementationsAs Agentic AI rises and LLMs get better adoption in building sophisticated applications, lets examine how well these modern implementations…
Manav Gupta·May 6, 2025Classic Agent Theory vs Todays’ RealityClassical agent theory established a set of principles that defined what makes an agent truly intelligent and autonomous. However, as we…
Manav Gupta·May 5, 2025Agentic AI Protocols: MCP, A2A, and ACPAI Agent Communication Protocols: MCP, A2A, and ACP
