Tech Blog
Frontend deep dives, architecture design, performance optimization, and development insights
Python AI Rerank with Cross-Encoder: Boost RAG Accuracy 40%
From Cohere Rerank to sentence-transformers, hybrid retrieval to production-grade RAG optimization — a complete guide to AI Rerank
Agentic RAG: 5 Core Patterns for Autonomous Retrieval Agents
From traditional RAG to Agentic RAG: autonomous retrieval decisions, multi-step reasoning, self-reflective search, and LangGraph workflows
Python AI Model Quantization: GPTQ, AWQ, GGUF Production Guide
A deep-dive guide to quantizing and deploying LLMs in Python, covering GPTQ and AWQ 4-bit quantization, GGUF conversion with llama.cpp, and vLLM inference.
Python AI Model Serving with NVIDIA Triton: 2026 Guide
Complete guide to deploying AI models with NVIDIA Triton Inference Server, including multi-model setup, dynamic batching, and performance optimization
AI Guardrails in Production: LLM Input/Output Protection 2026
Guide to building production-grade AI guardrails for LLM applications, covering input validation, prompt injection defense, and output filtering.
LangGraph Multi-Agent Orchestration: 6 Production AI Workflows
From StateGraph to conditional routing, human-in-the-loop to state persistence — a complete production-grade LangGraph multi-agent orchestration guide
Python LLM-as-Judge: 5 AI Quality Assessment Patterns
From RAGAS metrics to custom evaluators, LLM Judge to production AI quality pipelines — a complete guide to AI evaluation
Python AI Model Evaluation: Benchmarking to Automated Testing
Complete guide to Python AI model evaluation, covering LLM benchmarking, RAG evaluation, automated testing pipelines, A/B testing, and human evaluation
Python AI Model Deployment to Production: 5 Fatal Pitfalls
Complete guide to deploying Python AI models to production, covering FastAPI serving, Docker containerization, and Kubernetes orchestration
Python AI Embedding Adapter: Multi-Model Vector Switching
A guide to building embedding adapter layers in Python, covering unified interface abstraction, vector dimension alignment, and hot-swap strategies.
Python AI Cost Optimization: 6 Ways to Cut LLM API Bills 80%
A guide to AI cost optimization in Python, covering token usage monitoring, intelligent model routing, prompt compression, caching, and budget control.
Python AI Data Pipeline: 5 Patterns from ETL to Feature Store
Complete guide to Python AI data pipelines, covering ETL with Apache Airflow, data validation with Pydantic, feature engineering, and vector data pipelines
Python AI Agent Tool Calling: Reliable Function Calling
Deep dive into Python AI Agent Tool Calling, covering OpenAI Function Calling integration, multi-tool auto-selection, timeout retry, and result validation
Prompt Engineering 2.0: Structured Prompting for Production AI
Master the next generation of prompt engineering: structured output, Chain of Thought, Few-Shot, and system prompt design for production AI applications.
Python AI Agent Swarm: 5 Multi-Agent Collaboration Patterns
From OpenAI Swarm Handoff to production-grade frameworks with monitoring — 5 Python multi-agent orchestration patterns covering Supervisor and Group Chat
PostgreSQL pgvector RAG: Embedding Storage to Hybrid Search
Complete guide to PostgreSQL pgvector RAG implementation, covering embedding storage, HNSW/IVFFlat indexing, hybrid search, and reranking.
PWA in Practice: Installable, Offline-Ready Tool Sites
From Web App Manifest to Service Worker caching—how to turn an online tool site into an installable, offline-capable PWA that improves retention and UX.
PostgreSQL Index Tuning: Slow Queries to Millisecond Response
From B-tree/Hash/GIN/GiST/BRIN index types to EXPLAIN ANALYZE, partial indexes to covering indexes and concurrent index creation
PostgreSQL Performance Tuning Complete Guide
Master PostgreSQL performance tuning: EXPLAIN ANALYZE deep dive, index selection, query optimization patterns, connection pooling, and parameter tuning.
Performance API: Long Tasks, INP & Performance Monitoring
Guide to PerformanceObserver for Long Tasks, Interaction to Next Paint, Element Timing, and building a RUM system for browser performance monitoring.