Agentic AI fails above ~5000 lines due to context window limitations. Solution: document-driven development as long-term memory, enabling multi-agent collaboration and human-AI workflow.
Behind Manus's Wild Popularity: How Agentic AI Builds Lasting Competitive Advantages
Exploring why Manus succeeded by bridging Deep Research and Cursor, and analyzing the compound effects in tools, data, and intelligence that create lasting moats for Agentic AI products.
The Underestimated Claude Code: A Key Puzzle Piece for AI Native Software Development
Claude Code is the overlooked key to AI-native software development, enabling Library as a Service (LaaS) and bridging AI with existing enterprise codebases.
Using Math to Find Planetary Alignments in the Past 20 Years
A quantitative approach to identifying planetary alignments using orbital mechanics and Skyfield library, combining visibility, linear alignment, and longitude clustering metrics to search decades of astronomical data.
From Data Mining to Cognitive Alchemy: A Full Simulated Car-Buying Workflow Using OpenAI Deep Research
A hands-on exploration of OpenAI Deep Research through a simulated car-buying scenario, demonstrating how AI elevates research efficiency and enables deeper strategic thinking about negotiation and decision-making.