Extend and Improve: The Design You Already Have Is the Job
New code is cheap to draft. The lasting move is older: add to a design someone still understands, or tidy that design until the next change is easy.
Engineering Manager / Technical Lead
A topic hub collecting every article tagged Architecture. Use it to explore related posts and follow this theme across the site.
29 articles
New code is cheap to draft. The lasting move is older: add to a design someone still understands, or tidy that design until the next change is easy.
AI-native apps are not ChatGPT wrappers. They are systems where model inference, retrieval, memory, orchestration, tools, and evaluation are core infrastructure. Here is a working definition, the reference architecture, and a test you can apply to your own product.
A deep systems engineering guide to the essential algorithms behind modern infrastructure — matching markets, rolling hashes, network flows, cache replacement, probabilistic sketches, and vector search.
A systems architecture guide for building a high-throughput, low-memory autonomous agent platform in 2026: combining Ante's 15MB Rust micro-kernel, Kubernetes KEDA scaling, ArgoCD GitOps, and dynamic speed-quality Pareto routing across Gemini 3.7 Flash, GPT-5.6 Sol, and Claude Opus 5.
Forward Deployed Engineers turn AI capabilities into production outcomes. Learn what FDEs own, when the model works, where it breaks, and how to evaluate the role.
How Google Translate evolved from rules and statistical phrase models to neural MT and today’s Translation LLM — and how to build a translation app in 2026 with the right mix of NMT, multilingual models, and LLMs.
A source-backed review of Nous Research's Hermes Agent — what it is, how its memory and retrieval layers work, why it is not a classic RAG app, and which architecture decisions are worth borrowing.
How to design a production Graph RAG app with graph construction, hybrid retrieval, durable hand-offs, evaluation gates, and a practical recommended stack for engineers and PMs.
A practical guide for engineers and PMs who want to expose public app data safely through MCP and RAG — with allowlists, caching, cost controls, and a production checklist.
A practical guide for engineers and PMs on when to build general-purpose horizontal agents, when to invest in domain-specific vertical agents, and how loop engineering differs for each—including hybrid architectures that route across both.
A practical playbook for engineers and PMs facing messy problems with many possible answers, hidden risks, and no obvious best path.
Part 2: a strangler-fig adoption path for moving a live app to a Zero-Trust gateway and OpenFGA, starting with a single route in shadow mode and expanding without a big-bang rewrite.
How the gateway forwardAuth to external authorizer to internal JWT to thin services pattern works, built with Heimdall as the PEP and OpenFGA as the Zanzibar-style PDP.
A practical guide for engineers and PMs who want AI coding agents to move fast without breaking architecture decisions, module boundaries, ownership, and long-term system quality.
A source-audited guide to modern autonomous workflows: when to use n8n, CrewAI, Cloudflare Agents, LangGraph, or Agno, where teams stumble, and why this is practical now.
A source-backed deep dive for engineers and PMs on building recommendation engines inside AI-agent products, from MVP heuristics to retrieval, ranking, evaluation, safety, observability, and production launch.
A practical ladder for growing a software system from one app and one database into observable, event-driven, permission-aware, AI-ready architecture.
A practical guide to using OpenFGA for fine-grained authorization in SaaS apps, MCP servers, workflow agents, and agent orchestrators.
A practical, source-backed guide to GitHub Container Registry, OCI Helm charts, Argo CD, and a clean local/dev/prod flow for a simple FastAPI service.
A source-audited, side-by-side guide to choosing between Agno/AgentOS + FastAPI and LangChain/LangGraph + FastAPI for production Python agent backends.
A practical guide for engineers and architects designing an Astro blog platform with draft/publish workflows in D1, a lightweight markdown editor, and a Cloudflare Containers deployment for an Agno/AgentOS research service.
A source-audited translation of HumanLayer's 12-factor agent principles into practical LangGraph and Agno/AgentOS architecture, with production-minded Python examples.
An evidence-driven look at the claim that Docker Compose is only for local development while production should always use Kubernetes, Helm, and Argo CD.
A practical, source-audited guide to designing subagents for real cloud workloads, with concrete patterns and tradeoffs across Agno, LangChain, and Vercel AI SDK.
A source-audited, practical guide to building streaming APIs with LangChain and LangGraph, then consuming them cleanly with AI SDK from simple chat to durable agents.
A practical service-level deployment guide for AI SaaS teams: Docker image design, GitHub Actions builds, Helm packaging, ArgoCD handoff, External Secrets, IRSA, and release hardening.
A source-audited, architecture-first guide to deciding where agent state should live in production, with code examples in Vercel AI SDK, LangChain, and Agno/AgentOS.
When an AI agent spins up tasks on a complex frontend, complexity becomes the enemy. The hypothesis: simpler codebases mean fewer bugs — and in the age of AI co-generation, fewer hallucinations too.
A deep-dive into provisioning infrastructure with Terraform, packaging apps with Helm, and continuously deploying via ArgoCD — with real config for a Node.js API and an Agno Python agent. Structured across five expertise levels from Basic to Legendary.
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