The Portfolio That Proves You Can Build AI Systems
A practical guide to building an AI engineering portfolio that demonstrates system judgment, operational tradeoffs, and production readiness without relying on flashy demos.
Long-form AI engineering articles for systems, workflows, architecture, and production decisions.
Choose a topic to focus the library.
5 articles found
A practical guide to building an AI engineering portfolio that demonstrates system judgment, operational tradeoffs, and production readiness without relying on flashy demos.
Design a markdown-first documentation context package with llms.txt, source ownership, freshness rules, exclusions, and eval questions so agents can use docs without treating the whole site as context.
Repository instruction files are becoming the control plane for AI-assisted coding: a short AGENTS.md map, deep docs as the system of record, and task-specific specs for execution.
Spec-driven AI-assisted coding treats specifications as execution contracts, constraining agent behavior for predictable, production-grade outcomes.
Explore emerging trends in software engineering, AI-assisted tools, and a step-by-step guide to setting up a private AI coding environment.