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How to Design Python AI Projects That Don't Fall Apart
A pragmatic approach to Clean Architecture for AI projects that provides structure without becoming a rigid filing system - treat layers as virtual concepts, not physical folders.
13.01.2026
The Realistic Guide to Mastering AI Agents in 2026: A 6-9 Month Learning Roadmap
Stop learning forever. A practical 8-phase learning roadmap to building production AI agents in the next 6-9 months, with emphasis on building over consuming.
06.01.2026
From 100+ AI Tools to 4: A Production-Tested Tech Stack for AI Systems
After years of chasing AI trends and building over-engineered systems, here's the minimal stack that actually works in production: database, API framework, durable workflows, and observability.
30.12.2025
The Underrated Science of LLM Samplers: Controlling AI Creativity
Deep dive into how LLM samplers work, from Temperature and Top-K to the innovative Min-P algorithm, and how they control the balance between creativity and coherence.
25.11.2025
Building Production-Ready ReAct AI Agents: A Deep Dive into LangGraph's Architecture
An in-depth exploration of how to build ReAct agents from scratch by understanding LangGraph's implementation patterns and production-ready architecture.
18.11.2025
Polyglot Development, Technology Migration Strategy, and Modern Tooling
Exploring why modern projects embrace multiple languages, frameworks for technology decisions, and emerging tools in Vue and Go ecosystems
17.11.2025
AI Agents Planning: From Python Developer to AI Engineer
A comprehensive guide to understanding the difference between workflows and agents, focusing on planning as the key differentiator.
11.11.2024
Machine Learning and AI Education Resources: From Fundamentals to Advanced Techniques
A comprehensive collection of open-source educational resources covering machine learning basics, neural networks, computer vision, NLP, reinforcement learning, and advanced AI agent development.
11.11.2024
AI Engineering Roadmap: From Proof of Concept to Production Reality
A comprehensive guide to building production-ready AI agents, escaping PoC purgatory, and establishing robust evaluation frameworks.
06.11.2024
Chris Lattner on Swift, Mojo, and the Future of AI Programming Languages
A deep dive into programming language design with the creator of Swift and LLVM, exploring his new AI-focused Mojo language and lessons from building developer tools at scale.
05.11.2024