Writing
Engineering, in depth
Practical, production-grade writing on backend systems, FastAPI, AI/LLM engineering, and the bugs worth understanding.
Qdrant Python Search: Filters, Hybrid, and Tuning
Learn practical qdrant python search patterns including filtering, hybrid dense and sparse vectors, pagination, and HNSW tuning for production workloads.
Model Context Protocol Advanced Topics for Production
This guide covers model context protocol advanced topics including OAuth 2.1 auth, streaming in FastAPI, and schema versioning for production MCP servers.
Event Driven Architecture vs Request Response: Trade-offs
Comparing event driven architecture vs request response patterns for backend systems covering coupling, latency, error handling, and AI workflow fit.
Bolt.new Python Backend: FastAPI from Zero to Production
Learn how to build a production-ready Python backend with bolt.new, covering FastAPI scaffolding, SQLAlchemy models, authentication, and deployment.
LangGraph vs CrewAI: Production Trade-offs for Multi-Agent
This guide compares LangGraph vs CrewAI for production multi-agent systems, covering state management, debugging, and when to choose each framework.
Kafka Python vs Confluent Kafka: Production Benchmarks
Compare kafka python vs confluent kafka on throughput latency and operational maturity with real production benchmarks and a migration guide.
Using the Qdrant Python Client with FastAPI
Learn to use the Qdrant Python client in production with FastAPI covering async setup, hybrid search, quantization, and connection pooling.
FastAPI async lifespan guide for production backends
Learn how to use FastAPI async lifespan events to manage startup, shutdown, and resource cleanup with real production patterns and trade-offs.
Hybrid Search RAG Over Internal Docs: Production Guide
Learn how to implement hybrid search RAG over internal docs with Elasticsearch and pgvector, including architecture, code, and production trade-offs.
AI Agent Python Code Example for FastAPI and OpenAI SDK
A practical ai agent python code example using FastAPI and OpenAI SDK, covering tool use, async state, Docker deployment, and production pitfalls.
Microservices Python Example: Real Patterns for Production
A practical microservices python example with FastAPI, Docker, and production lessons on structure, communication, and monitoring.
RAG Chunking Evaluation: Metrics and Production Trade-offs
Learn how to evaluate chunking effectiveness in RAG pipelines using metrics, Ragas, and real-world trade-offs from production systems.
RAG Chunking Techniques for Tabular Data in Production
Learn effective RAG chunking techniques for tabular data including CSV, Excel, and Parquet files, with production-tested strategies and code examples.
Build App with AI Gemini: FastAPI Backend Integration Guide
Learn how to build app with ai gemini in FastAPI backends: setup, RAG integration, rate limits, Cloud Run deployment, and production trade-offs.
FastAPI Async Dependency: Practical Patterns for Production
Learn how to define async dependencies in FastAPI with real examples for database sessions, context managers, and testing - plus performance trade-offs.
Message Queue Implementation in Python: Redis to Sockets
A practical guide to message queue implementation in Python, covering Redis, custom sockets, Celery, and production trade-offs for backend engineers.
Fix AI Generated Code: Practical Steps for Backend Engineers
Learn how to fix AI generated code vulnerabilities, logic errors, and security flaws in FastAPI and Python systems with real production examples.
Postgres Performance Tuning Best Practices for Backends
Practical postgres performance tuning best practices for production systems, covering config, indexing, monitoring, and scaling with real examples.
RAG Chunking Best Practices for Production Systems
Learn proven RAG chunking best practices for LLMs - optimal size, overlap, tabular data, evaluation, and tools - based on real production experience.
Python Message Queue Between Processes: FastAPI IPC
Implement a python message queue between processes with multiprocessing.Queue, pipes, and shared memory, plus FastAPI integration and trade-offs.
Redis caching in FastAPI: practical setup and pitfalls
Learn how to set up Redis caching in FastAPI for sessions and API results, avoid common pitfalls, and monitor performance in production.
Vibe Coding vs Agentic Coding: When to Use Which
Discover the differences between vibe coding and agentic coding, how they affect FastAPI AI projects, and which workflow fits your production needs.
Microservices Python Django: Practical Setup & Scaling
Learn to build, containerize, and scale microservices python django apps with Django Rest Framework, Docker, and Kubernetes using inter-service patterns.
Bolt.new Python Backend: FastAPI from Zero to Production
Learn how to scaffold, connect async databases, and deploy a bolt new python backend using FastAPI, with code, pitfalls, and cost tips for indie builders.
Why ai generated code cannot be copyrighted and what to do
Find out why ai generated code cannot be copyrighted, how to license snippets, and keep your IP safe when building AI-assisted apps. with open-source tips.
How to Fix Claude Code Error 529 in Production
Learn why Claude code error 529 happens, how to debug it, and practical steps to prevent it in your AI-powered backend.
Hybrid Search RAG Implementation: A Practical Guide
Build a hybrid search RAG implementation using LangChain and a vector store, with keyword fallback, and learn architecture, tuning, and production lessons.
Free AI App Builder with Backend: FastAPI Microservice Guide
Learn how to use a free AI app builder with backend to spin up a FastAPI microservice, avoid common pitfalls, and plan a smooth move to production.
Model Context Protocol Examples: How to Run MCP with FastAPI
Learn practical model context protocol examples, set up MCP with Docker, call it from Python, and embed it in FastAPI for production-grade AI services.
FastAPI Rate Limiting: Practical Guide for Production
Learn how to add fastapi rate limiting with custom middleware, Redis or libraries, and get tips for testing and production monitoring in real-world APIs.
Fix the Copilot rate_limited Error in Production
Resolve the Copilot rate_limited error with exponential backoff, quota adjustments, and local LLM fallbacks. Python implementation included.
Build a Cursor AI Code Tracking API Client with FastAPI
Learn to authenticate, call, and store Cursor AI Code Tracking API data in FastAPI using PostgreSQL or Redis with secure, production-ready patterns.
FastAPI Testing With Pytest: Practical Patterns
Learn how to set up pytest for FastAPI, use TestClient for sync and async routes, override dependencies, test auth, and manage DB fixtures in production.
Cursor AI code editor tutorial: setup, tips, and CI/CD
A step-by-step Cursor AI code editor tutorial: install it, wire it into FastAPI, and add linting, security checks, and CI/CD.
RAG pipeline diagram: design, build, and scale
Learn how to design a rag pipeline diagram, build each component with FastAPI, integrate vector stores and LLMs, and monitor it in production.
Building an ai agent python langchain with FastAPI
Learn how to build an ai agent python langchain, hook it into FastAPI, add memory and tool use, then deploy it with scaling and cost awareness.
Choose the Best Python Message Queue for Production
Compare Celery, RQ, Dramatiq, and Kombu with a practical asyncio-Redis example. Pick the right library for reliable background job processing.
ai generated code platform security checklist
Learn a practical checklist for ai generated code platform security, covering threat modeling, prompt injection, sandboxing, compliance, and monitoring.
Kafka Python Tutorial: From Docker to FastAPI
A hands-on kafka python tutorial: run a broker with Docker, produce and consume asynchronously, and wire it into FastAPI background work.
Redis caching in FastAPI: practical setup and pitfalls
Learn how to add redis caching in fastapi, covering installation, async client integration, decorators, invalidation, Docker deployment, and monitoring.
Fixing AI Generated Code Quality Issues in Production
Learn how to spot and fix AI generated code quality issues with automated tests, linting, CI gates, and practical refactoring tips for FastAPI backends.
Fixing an AI Generated Code Vulnerabilities Report
Learn why AI generated code carries security flaws, and how to turn a vulnerabilities report into a reliable CI/CD guardrail for FastAPI.
RAG evaluation using ragas: a practical guide
Learn rag evaluation using ragas in Python: install, run metrics on a sample pipeline, interpret scores, and automate checks in CI/CD for production.
How to build AI agent for stock analysis with FastAPI
Learn step-by-step how to build an AI agent for stock analysis, from data sources to backtesting and automated FastAPI deployment, in production.
Comparing AI Agents Python Library Options for Production
Compare the top AI agents python library options: LangChain, CrewAI, and LlamaIndex, and see how to embed one in FastAPI for production.
Event Driven Architecture vs Microservices: Which to Use
I compare event driven architecture vs microservices, outline trade-offs, give Python code, and explain when each pattern is the right fit for production.
AI agent python ollama: Build, Test, Deploy with FastAPI
Learn how to run an AI agent in Python with Ollama, from local installation to FastAPI integration, testing, and production scaling, using code examples.
AI Generated Code Detection: Practical Guide for Builders
Learn how to reliably detect AI-generated code in CI/CD, spot hidden security bugs, and navigate legal risks before they break production.
Building microservices python fastapi: design to production
Build microservices python fastapi from design to production, covering REST/gRPC choices, RabbitMQ/Kafka queues, Docker/K8s deployment, testing and security.
Using the OpenAI Agents SDK for Python: A Practical Guide
Learn to install the OpenAI Agents SDK for Python, build agents that use tools, manage memory, add custom functions, and scale with FastAPI or serverless.
Practical RAG chunking strategies for reliable RAG pipelines
Learn effective RAG chunking strategies, choose optimal chunk sizes, and evaluate chunk quality with Python tools like LangChain, LlamaIndex, and RAGAS.
Building a Robust RAG Pipeline Architecture for Production
Learn how to design, evaluate, and scale a production-grade RAG pipeline architecture with FastAPI, LangChain, and hybrid vector stores.
FastAPI WebSockets: Production-Ready Setup and Scaling
Learn how to build, secure, and scale fastapi websockets, covering basic endpoints, lifecycle handling, auth, broadcasting, and Redis-backed scaling.
How to Build AI Agents from Scratch with FastAPI
Learn how to build AI agents from scratch: set up Python, pick a framework, design the architecture, add memory, and deploy with FastAPI.
FastAPI asyncpg: Fast Async PostgreSQL Access
Learn how to combine FastAPI with asyncpg for fast, async PostgreSQL queries. Includes pooling, SQLAlchemy 2.0, transactions, and production tuning.
FastAPI Deployment on Render: Docker, CI/CD, Scaling
Learn step-by-step fastapi deployment on render with Docker, environment config, GitHub Actions CI/CD, scaling strategies, and monitoring tricks.
FastAPI Async Logging: Structured and Rotating Logs
Set up fastapi async logging with structlog and loguru, covering background tasks, websockets, Uvicorn and Gunicorn, and log rotation.
FastAPI Async vs Sync: Benchmarks & When to Use Each
Compare FastAPI async vs sync performance with real benchmarks. Learn exactly when to use each endpoint type to avoid pitfalls and boost throughput.
FastAPI Error Handling Best Practices: A Hands-On Guide
Discover fastapi error handling best practices with custom exception handlers, middleware logging, validation strategies, and TestClient testing.
FastAPI background tasks poll APIs, create PDFs, send email
Discover how to use FastAPI background tasks to poll external APIs, generate PDFs and send emails with aiosmtplib, and know when to move to Celery.
Deploy FastAPI on Railway: Docker, PostgreSQL & CI/CD
Deploy FastAPI on Railway with Docker, Uvicorn workers, PostgreSQL, and GitHub Actions CI/CD. Complete production setup guide.
Welcome to LogicLoopTech
A backend engineering blog on AI, RAG, and FastAPI, covering the real problems engineers hit running services in production.
FastAPI SQLAlchemy Session Leaks: Diagnose and Fix
Learn how to detect and fix FastAPI session leaks. A deep dive into SQLAlchemy connection pooling, long-running sessions, and production monitoring.
FastAPI Session Leak Detection: Find and Fix Them
Seeing QueuePool errors or rising DB latency in FastAPI? Learn how to detect session leaks and fix long-running SQLAlchemy sessions in production.
Why Your FastAPI App Works Locally But Fails in Production
FastAPI works locally but fails in production? Fix the five usual causes: Uvicorn workers, QueuePool limits, event loop blocking, and Docker CPU limits.
Fix Uvicorn Health Check Timeouts Under Load
Stop CPU-intensive tasks from blocking the event loop. Step-by-step fix to keep FastAPI pods healthy and pass Kubernetes probes.
FastAPI Production Deployment: Docker, Workers & Kubernetes
Deploy FastAPI to production with Docker, Gunicorn workers, and Kubernetes. Covers DB pooling, observability, and rollback strategies.
How Many Uvicorn Workers Do You Actually Need?
Calculate the exact Uvicorn worker count using the (2 x CPU) + 1 formula. Fix the Docker CPU limit trap and optimize FastAPI concurrency for production.
Why FastAPI Apps Slow Down: Low CPU, High Latency
Why FastAPI apps slow down over time: how session leaks and blocking code cause high latency while CPU stays low, and how to fix it for good.
Fix SQLAlchemy QueuePool Limit Errors in FastAPI
Stop silent connection leaks causing QueuePool limit errors. Learn the exact pool settings and cleanup patterns that keep FastAPI apps stable in production.
FastAPI Lifespan: Startup and Shutdown Events Explained
How FastAPI lifespan replaces the deprecated @app.on_event hooks, with asynccontextmanager examples, why startup breaks in production, and gotchas.
FastAPI vs Flask in 2026: Is Flask Still Relevant?
Compare Flask 3.1 updates and FastAPI performance to decide which framework fits your 2026 stack. Get the verdict on async, speed, and DX.
Fix: AsyncSession Has No Attribute 'query' in SQLAlchemy 2.0
Fix the AttributeError after upgrading to SQLAlchemy 2.0. Learn the select() syntax to replace AsyncSession.query in FastAPI.
Fix SQLAlchemy MissingGreenlet Error in FastAPI Async
Resolve the 'greenlet_spawn has not been called' error in async SQLAlchemy with FastAPI. Step-by-step fix using selectinload to restore await_only().
CI/CD for Cloud Run with GitHub Actions vs Cloud Build
Compare GitHub Actions and Cloud Build pipelines. Step-by-step guide to automate Docker deployments to Google Cloud Run with secure auth.
Deploy FastAPI to Google Cloud Run With Docker
Learn how to containerize your Python API with Docker and deploy it to Google Cloud Run (Serverless). A step-by-step guide for production-ready deployment.
Fix AsyncSessionLocal Errors in FastAPI (SQLAlchemy 2.0)
Solve missing greenlet errors and configure AsyncSessionLocal correctly. Build robust async FastAPI APIs with SQLAlchemy 2.0 patterns that work.
How to Send Firebase Push Notifications with Python
Send FCM push notifications from Python with the Firebase Admin SDK: setup, working code examples, and how to test your notification integration.
Schedule Python Scripts on Google Cloud (Serverless)
Schedule Python scripts serverlessly with Google Cloud Run and Cloud Scheduler. A practical guide to replacing local cron jobs in production.
Create a Firebase Project for FCM Push Notifications
Create a Firebase project, enable FCM, and get your API key in minutes. Step-by-step setup guide for developers sending push notifications.