Webhooks are simple until they double-process the same event. Here's how to build a production-grade Python webhook handler that guarantees at-most-once delivery and recovers from failures with exponential
Stop burning API credits on repeated LLM calls. Here's how to build a production-grade prompt caching layer with Redis in under 100 lines of Python, cutting latency by 60% and
Most LLM observability tools are over-engineered black boxes. Here's how to build a custom Python callback handler that logs every token, traces every call, and tracks API costs in under
Stop hammering your database. This hands-on tutorial walks through building a real caching layer in Python with Redis, covering connection pooling, serialization, TTL strategies, and cache invalidation patterns that survive
We ran 5 multi-agent frameworks (LangGraph, CrewAI, AutoGen, ECOA ACP, and a custom state machine) against a real-world logistics tracking pipeline. Only one passed the latency, state consistency, and recovery
Learn how to design and implement a robust caching layer in Python using Redis, custom decorators, and smart TTL strategies. Includes real code patterns, performance benchmarks, and anti-patterns to avoid.
Stop throwing hardware at slow queries. Here's a practical, battle-tested guide to using EXPLAIN, choosing the right indexes, and tuning PostgreSQL for production workloads — with real SQL examples and
Stop guessing what your AI agents are doing. This tutorial shows you how to build a live monitoring dashboard with Python, WebSockets, and Chart.js — no heavy frameworks needed.
I benchmarked 5 async patterns for a high-speed web crawler targeting 1,000 requests per minute. Only one survived the real internet's chaos. Here's the code, the data, and the hard
Stop treating RAG like a simple vector lookup. This tutorial shows you how to build an agentic RAG pipeline that decides when to search, how to rewrite queries, and when
Learn how to build a production-ready async web scraper using `aiohttp` and `asyncio`. We'll cover rate limiting, retry logic, and real-world concurrency patterns that handle 1000+ requests per second without