About Stackonomist
Independent, hands-on writing for engineers, founders and tech leads who ship AI to production.
Most AI content stops at the demo. Stackonomist picks up where production starts: how to design AI features that hold up under real traffic, how coding agents change the way teams build, how to run and observe AI infrastructure, and what all of it really costs once the launch is over.
What we cover
- AI Systems & Architecture — Designing LLM features that hold up in production: RAG pipelines, agent orchestration, structured outputs, function calling, evals and reliability.
- AI Coding & Developer Tools — Coding agents in real codebases: Claude Code, Cursor and Copilot, sandboxed execution, guardrails for generated code, and AI-assisted testing and review.
- AI Infrastructure & Ops — Running AI workloads: model serving and local LLMs, streaming, latency, semantic caching, AI gateways and observability for non-deterministic software.
- AI Economics — What AI really costs: token and API pricing, usage-based SaaS plans, FinOps for AI workloads, build-vs-buy decisions and the ROI of AI features.
- Production Stacks — The foundations AI products run on: Next.js and TypeScript architecture, APIs and headless CMS, hosting and its costs, and generative engine optimization.
Editorial leadership
Senior Full-Stack Software Engineer
Alireza is a Senior Full-Stack Software Engineer specializing in TypeScript and cloud-native architecture. He builds AI features into production web applications and writes for Stackonomist about AI systems, coding agents, AI infrastructure and what AI really costs.
Editorial standards
Checked against official sources
Claims about frameworks, APIs, versions and pricing are checked against official documentation, release notes and specifications, and every article lists the sources it used.
Reviewed by an engineer
Every article is reviewed, edited and fact-checked by an engineer before it’s published; nothing goes live automatically.
Independent of vendors
Software vendors can’t pay for coverage or see articles before publication. Our editorial disclosure explains affiliate links and how the site makes money.
Get in touch
Corrections, editorial tips, tech stack teardown requests and engineering war stories are always welcome at [email protected].