Let's playfully question everything
What if we could make questioning news and information bias genuinely fun? An exploration of how AI makes it possible.
Notes on engineering, architecture, and the things I learn while building software.
View MediumGuide for developers to direct AI as guided agent, transforming coding into orchestration.
Explore how to delegate workflows to autonomous ai agents.
Deep dive into designing intelligent systems blending code and ai reasoning.
Integrate AI tools, delegate cognitive work, and adopt mindsets for balance and future-proof skills.
Abundant AI collapses execution costs, inverts value hierarchies, and moves human work up.
Abundant AI reimagines society into purpose-driven, post-physical communities.
Principles for sustainable architecture, maintainable code, and growth-ready scalable apps.
Align strategy, capabilities, and tech layers to deliver scalable, value-driven systems.
Layer entities, use cases, adapters and drivers; decouple business logic from tech details.
Reimagine online shopping: open and decentralized. Reviving community, transparency & competition.
Set up a lightweight web server in TypeScript using Koa, routing, middleware and typing in minutes.
Guide to expert systems: code a backward-chaining inference engine in Python, with rules and facts.
Set up toolchain, grasp registers & calling conventions, and code/link your first assembly functions.
Craft self-replicating quine programs in multiple languages, understand theory, and master code that prints itself.
A guide to Mach-O analysis: decode symbol tables, headers, sections, and build your own nm/otool utilities in C.
Implement SHA-256 and MD5 from scratch in C: bitwise ops, message padding, compression loops and test vectors.
Build your own malloc in C, learn mmap, buckets, first-fit, coalescing, alignment fixes to master dynamic memory.