Knowledge Base
Advanced technical deep dives, system architecture breakdowns, and tactical implementations for high-performance engineering environments.
Build Custom GPTs with OpenAI Assistants API
Learn to build powerful custom GPTs using the OpenAI Assistants API. This deep dive covers architecture, code examples, tools, and real-world applications.
Building Real-time Collaborative Apps with Yjs & WebSockets
Unlock real-time collaboration! Learn to build dynamic multi-user applications using Yjs (CRDTs) and WebSockets. Master shared state, awareness, and persistence.
Building Real-Time Streaming Pipelines with Kafka & Flink
Learn to build robust, scalable real-time streaming pipelines using Apache Kafka for data ingestion and Apache Flink for powerful stream processing.
CRDT vs OT: Real-time Data Synchronization Explained
Dive deep into CRDTs and Operational Transformation for real-time data synchronization. Understand their architecture, trade-offs, and use cases with code examples.
Build Python AI Agents with Function Calling
Unlock the full potential of AI agents with Python and function calling. Learn to architect, build, and deploy intelligent agents capable of interacting with external…
Mastering Infrastructure Testing: Terratest & Kitchen-Terraform
Learn to thoroughly test your Terraform modules using Terratest (Go) and Kitchen-Terraform (Ruby) for robust, reliable infrastructure deployments. Comprehensive guide with examples.
Distributed Caching: Redis, Memcached, & CDN Patterns
Explore distributed caching with Redis, Memcached, and CDN patterns. Learn architecture, code examples, and best practices for scalable, high-performance applications.
Scalable WebSockets: Building Real-Time Infrastructure
Learn to build highly scalable WebSocket infrastructure for real-time applications. Dive into architecture, load balancing, message brokers, and advanced topics.
Fine-Tuning LLMs with LoRA: A Practical Guide
Unlock the power of fine-tuning Large Language Models with LoRA. This practical guide for developers covers setup, implementation, best practices, and real-world scenarios.
Building Custom GPTs with OpenAI Assistants API
Learn to build powerful custom GPTs using the OpenAI Assistants API. This in-depth guide covers setup, core concepts, function calling, RAG, and production architecture.