Knowledge Base
Advanced technical deep dives, system architecture breakdowns, and tactical implementations for high-performance engineering environments.
Building Custom GPTs: OpenAI Assistants API for AI Agents
Unlock advanced AI agent capabilities. Learn to build custom GPTs with OpenAI Assistants API, integrating tools, retrieval, and state management. Comprehensive guide.
Vector Databases Under the Hood: ChromaDB vs Pinecone vs Qdrant
Dive deep into how vector databases work, exploring embeddings, ANN algorithms, and scalability. Compare ChromaDB, Pinecone, and Qdrant with code examples.
Build Your Dev Portfolio: Get Hired in Tech
Learn to build an impactful technical portfolio that gets you hired. Discover essential components, best practices, code examples, and advanced tips from a senior engineer.
RLHF Explained: Reinforcement Learning from Human Feedback
Dive deep into Reinforcement Learning from Human Feedback (RLHF). Learn its architecture, core phases, benefits, challenges, and real-world applications in aligning AI with human preferences.
Rust & WebAssembly: Building Performant Web Apps
Unlock peak web performance by integrating Rust and WebAssembly. Learn to build CPU-intensive web app components with near-native speed and memory safety.
Building Performant Web Apps with WebAssembly in Rust
Unlock peak web performance with Rust and WebAssembly. Learn how to build high-speed, safe, and efficient web applications from a senior engineer.
Building Real-Time Data Pipelines on AWS: Kinesis, Glue, Redshift
Master building robust, scalable data pipelines on AWS using Kinesis for real-time ingestion, Glue for serverless ETL, and Redshift for powerful analytics.
Idempotent APIs: Reliability in Distributed Systems
Learn to design idempotent APIs for robust distributed systems. Prevent duplicate operations, handle retries, and ensure data consistency with practical strategies and code.
API Gateway Patterns: Routing, Auth, Rate Limiting
Master API Gateway patterns for request routing, robust authentication, and effective rate limiting. Learn architecture, code examples, and real-world strategies.
Building AI Agents with Function Calling in Python
Learn to build powerful AI agents in Python using LLM function calling. Master tool definition, orchestration, and real-world scenarios.