Blog

The software development lifecycle is being rewritten. Requirements, design, and build no longer happen in sequence — they evolve together, driven by AI agents. Here is how the AI-DLC differs from traditional SDLC, and how SystemDox fills the gap.

How to build a stateless, cache-safe multi-tenant API authorizer using Cognito Pre Token Generation v2 — eliminating per-request database lookups and fixing tenant-scoped caching.

How application/problem+json gives API clients predictable, machine-readable error responses — and why it belongs in your Lambda handlers, not API Gateway.

A complete guide to how PuglieseWeb builds websites that live in your GitHub repository. Edit with SystemDox, auto-publish via GitHub Pages — zero hosting costs, full revision history, no vendor lock-in.

Predefined dashboards answer yesterday's questions. Ad-hoc SQL on your event lake answers tomorrow's. Here's how to use Athena for exploratory analysis, user timeline reconstruction, and deep client debugging — without blowing your AWS bill.

Enterprise data governance tools promise visibility into your data. But most small teams need to understand user behaviour, not Parquet file provenance. Here's how to tell the difference — and build what matters first.

How Europeans can build careers and investment portfolios around the continent's accelerating shift away from US Big Tech toward open-source and European-controlled alternatives.

Build governed, discoverable data products by publishing CloudEvents-compliant business events through EventBridge to an S3 data lake — without coupling analytics to your operational database.

How we built Ema Admin Assistant — an AI chatbot that lets business owners update their website content through conversation. No CMS forms, no waiting for developers.

A clear breakdown of how foundation models, skills, and retrieval-augmented generation work together to power modern AI applications.

How embedding models turn words into numbers that machines can compare, why that matters for search and AI, and what to consider when choosing one.

A practical explanation of how retrieval-augmented generation works, why vector databases matter, and when you should (and shouldn't) reach for them.

A practical guide to designing scalable, accurate, and maintainable AI agent systems using the Orchestrator-Specialist pattern for complex, multi-step task automation.

Hard-won lessons from deploying AWS Lambda in production — layer path mistakes, silent auth failures, cold start surprises, and the IAM traps that cost hours to debug.

A practical guide to the European software stack for building modern AI-powered applications — covering LLM inference, vector search, serverless compute, and storage alternatives that offer better data sovereignty, lower costs, and easier EU compliance.

Why tenancy is the one architectural choice that's genuinely painful to reverse — and the practical path from agency project to multi-tenant product.

A practical, step-by-step walkthrough of how I use Claude Code to ship features faster — from identifying problems to planning epics, implementing, and testing. Includes 2026 best practices for AI-assisted development.

A practical, battle-tested tech stack for building a modern website with AI chatbot, RAG, booking system, feedback, and admin dashboard. Built for speed, maintainability, and real-world costs in 2026.

Architecture Decision Records only work if they stay current. Learn how to make ADRs a living part of your development workflow — not another stale wiki page.

Stop relying on manual code reviews to catch architecture violations. Learn how to automate guardrails with fitness tests that run on every pull request.

Practical event-driven architecture patterns using SQS, SNS, EventBridge, and DynamoDB Streams — with real-world trade-offs and when to use each.

Key insights from 444 documentation experts — technical writers, product managers, engineers, and leaders — on how teams build, measure, and evolve their documentation. Industry report sourced from GitBook.