Category
AI & Automation
AI tools and automation for developers: AI coding assistants, LLM frameworks and RAG, vector databases, and workflow automation with n8n, Zapier and scripts.
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Spring AI Framework Review: Is It Ready for Production in 2024?
Spring AI reviewed: model portability, ChatClient, structured output and RAG support in Spring. Strengths, gaps, costs and production readiness.
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Advanced Microservices Patterns for AI Backend Systems
Microservice patterns for AI workloads: the AI sidecar, event-driven prediction pipelines, claim-check for heavy payloads and GPU-aware request routing.
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The Ultimate Guide to AI Backend Engineering Consulting Services
What AI backend engineering consulting covers: architecture for AI workloads, caching and scaling inference, security, and how an engagement is run.
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FAQ: Why Apache Cadence for Distributed Workflows?
Why use Apache Cadence for distributed workflows? How it differs from job queues and Airflow, fault tolerance, the web UI and workflow code.
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A Practical Introduction to Workflow Engines for Developers
Workflow engines for developers: what they are, when you need one over cron and queues, an order-processing example and how to choose a tool.
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5 Best AI Automation Tools for Backend Development (I Tested Them All)
AI tools for backend development compared: GitHub Copilot, Qodo (CodiumAI), Amazon Q Developer and Codeium for APIs, tests and infrastructure.
