An engineer-friendly deep dive into how the human brain truly processes information, learns without backpropagation, and uses spiking neural networks, predictive coding, and dopamine-driven TD errors—challenging our notions of AI and matrix math.
How we evolved our Lambda-based real-time AI streaming stack for SaaS: integrating streaming, credit management, and subscription-based throttling. Patterns, challenges, and lessons from Helpmaton’s production deployment.
How to implement tiered API throttling in AWS API Gateway using subscriptions, without requiring clients to send or manage API keys. Learn how to map subscriptions to usage plans with a custom Lambda authorizer for seamless and secure rate limiting.
How we give AI agents long-term memory without blowing the budget: time-stratified vector memory (six grains, progressive summarization) plus a graph knowledge base for structured facts, with bounded storage and semantic search.
How building Helpmaton — a robust infrastructure layer for AI agents—helped transform one-off scripts into reliable, context-aware, and continuously evaluated AI workflows for projects like TimeClout.
How I built a fast, fully client-side semantic search system for AI customer service agents, using vector embeddings, Web Workers, and real-time doc updates — all without dedicated search infrastructure.
Announcing the private beta launch of TimeClout, the open-source, AI-powered tool designed to simplify and optimize shift scheduling for teams.
An engineer-friendly introduction to Reinforcement Learning in Computational Psychiatry: how Q-learning works, how the brain might implement similar algorithms, and what this means for understanding mental health disorders.
An accessible, engineer-friendly introduction to Predictive Coding: how the brain predicts the future, why prediction errors matter, and what this means for AI, robotics, and intelligent systems.
A practical introduction to the Hierarchical Gaussian Filter (HGF) in computational psychiatry—how it models human perception, belief updating, and learning under uncertainty, with intuitive explanations for software engineers.
A software engineer's deep dive into the core computational models that power modern psychiatry, exploring how code, math, and neuroscience come together to decode the brain's mysteries.
A software engineer's journey through the 2025 Computational Psychiatry Course in Zurich, exploring how computational models and systems thinking can be applied to understanding the human mind and psychiatric research.
How we built an AI agent that can see and understand visual content, opening new possibilities for intelligent automation and assistance.
A deep dive into building scalable, production-ready AI chat services with real-time streaming using AWS Lambda, Architect, and Vercel's AI SDK. Learn about architecture, local development, deployment strategies, and cost optimization for modern AI applications.
