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Technical guides, AI agent architecture, vector search benchmarks, and fullstack engineering articles.
Showing 1–12 of 80 ArticlesPage 1 of 7
Next.js 16 Streaming AI Patterns: Server Components, Agents, and EdgeAI
2026-10-2411 min read
Next.js 16 Streaming AI Patterns: Server Components, Agents, and Edge
Next.js 16 streaming AI patterns: server-component streaming, edge functions, agent abstractions, caching strategies, and reproducible TypeScript implementation with benchmarks.
Asutosh Sidhya
Hybrid Search: BM25, Vector & Reranking — Production Reference 2026AI
2026-10-2310 min read
Hybrid Search: BM25, Vector & Reranking — Production Reference 2026
2026 production guide to hybrid search: BM25 + dense vectors, Reciprocal Rank Fusion, cross-encoder reranking, tuned benchmarks, deployment checklists.
Asutosh Sidhya
Next.js 16 & React 19 AI Streaming Architecture: Production PatternsAI
2026-10-2310 min read
Next.js 16 & React 19 AI Streaming Architecture: Production Patterns
Low-latency, server-rendered AI apps with Next.js 16 and React 19 streaming — architecture, benchmarks, and production implementation steps for deploys.
Asutosh Sidhya
Optimizing LLM I/O: TOON vs JSON, schema validation trade-offs, and engineering patterns to cut latencyAI
2026-10-2210 min read
Optimizing LLM I/O: TOON vs JSON, schema validation trade-offs, and engineering patterns to cut latency
Practical engineering patterns to reduce LLM latency by choosing TOON vs JSON, schema validation trade-offs, benchmarks, and production-safe implementation steps.
Asutosh Sidhya
Shared Agent Memory: Production Patterns, Benchmarks, and ImplementationAI
2026-10-229 min read
Shared Agent Memory: Production Patterns, Benchmarks, and Implementation
Production patterns for shared AI agent memory: benchmarks, architecture trade-offs, concrete metrics, and reproducible TypeScript and Python implementations.
Asutosh Sidhya
Graph-Based Agentic AI with LangGraph: Workflow Pathways for Long-Running Stateful Business ProcessesAI
2026-10-2111 min read
Graph-Based Agentic AI with LangGraph: Workflow Pathways for Long-Running Stateful Business Processes
LangGraph-based workflows implement durable typed state, conditional routing, retry/escalation loops, deterministic tool nodes, and HITL checkpoints for production-grade agentic systems.
Asutosh Sidhya
Hybrid Search + Reranking for Production RAG: Vector, BM25, RRF, Cross-Encoder Patterns 2026AI
2026-10-2112 min read
Hybrid Search + Reranking for Production RAG: Vector, BM25, RRF, Cross-Encoder Patterns 2026
Practical production patterns for hybrid retrieval: parallel BM25 + vector search, RRF fusion, and cross-encoder reranking with measured latency and tuning guidance.
Asutosh Sidhya
Graph-Based Agentic Orchestration with LangGraph: Production Patterns and Vercel Trade-offsAI
2026-10-209 min read
Graph-Based Agentic Orchestration with LangGraph: Production Patterns and Vercel Trade-offs
Deep technical guide to using LangGraph for durable, inspectable agentic workflows: typed shared state, conditional edges, retry loops, HITL checkpoints, and Vercel deployment trade-offs.
Asutosh Sidhya
Production AI Agent Memory Patterns for Multi-Agent SystemsAI
2026-10-2010 min read
Production AI Agent Memory Patterns for Multi-Agent Systems
Production patterns for AI agent memory in multi-agent systems: benchmarks, architectures, latency-memory trade-offs, reproducible deployment steps.
Asutosh Sidhya
Verified Stack for Production AI Orchestration: Next.js 16, React 19, TypeScript 5.9AI
2026-10-1910 min read
Verified Stack for Production AI Orchestration: Next.js 16, React 19, TypeScript 5.9
Verified Next.js 16 + React 19 + TypeScript 5.9 stack for production AI orchestration: streaming, agents, MCP shadcn/ui integration, and deployment patterns.
Asutosh Sidhya
Token-aware LLM I/O: when to use JSON, when to use TOON, and how to combine grammar constrainers for low-latency productionAI
2026-10-1910 min read
Token-aware LLM I/O: when to use JSON, when to use TOON, and how to combine grammar constrainers for low-latency production
Trade-offs between JSON, token-oriented TOON formats, and grammar-constrained generation: benchmarks, concrete patterns, and production-ready code to cut LLM latency without breaking downstream systems.
Asutosh Sidhya
Agentic Orchestration: LangGraph vs CrewAI vs Mastra vs OpenAI Agents SDKAI
2026-10-1812 min read
Agentic Orchestration: LangGraph vs CrewAI vs Mastra vs OpenAI Agents SDK
LangGraph, CrewAI, Mastra, and OpenAI Agents SDK compared: agentic orchestration patterns, Vercel/Next.js deployment fit, observability, and runtime trade-offs.
Asutosh Sidhya