AI Engineering articles

14 articles about AI Engineering, newest first.

• How Meta Solves Video Misalignment and Unoriginality at Scale — Learn how Meta uses a multi-agent system of specialized VLMs to detect modality misalignment and unoriginal content in over 100 million short-form videos.
• The 2026 Roadmap to Becoming a Top Agentic AI Engineer — Learn the 12 essential skills for Agentic AI Engineering, from system thinking and MCP to state management and production deployment with PydanticAI.
• Measuring AI Agent Success: Clay's Quality, Throughput, and Cost Framework — Learn how Clay evaluates AI agents using a mix of deterministic matching, factual evals, and LLM-as-a-judge to balance quality, speed, and cost.
• How to Build a Profitable AI SaaS Using the Service-to-Software Ladder — Learn Dave Ebbelaar's three-step framework for building a B2B AI SaaS by moving from high-touch services to scalable, self-serve software products.
• Building a Full-Stack GenAI Document Copilot with FastAPI and Supabase — Learn how to build a production-ready RAG application using FastAPI, React, and Supabase to query SEC filings with grounded answers and citations.
• Engineering Voice-First AI: How Tolan Solves Latency and Context — Learn how Tolan, a voice-first AI companion, manages 4 million hours of conversation by optimizing latency, turn detection, and dynamic context reassembly.
• How Personal AI Servers Are Redefining Software Ownership — Discover Zo, a personal AI-powered server that lets non‑developers run all apps and data without subscriptions, challenging today's technofeudal cloud model.
• Stop Obsessing Over the Model: Why the 'AI Harness' is the Real Secret Sauce — Discover why the workflow and orchestration surrounding an LLM—the harness—drive performance and cost more than the model version itself.
• Is 'AI Engineer' the New DevOps? Navigating the New Era of Software Engineering — Explore the shift from DevOps to AI Engineering, the power of local LLMs, and how tools like MCP and Obsidian are redefining developer workflows.
• Stop Wasting Tokens: The Art and Science of Model Routing — Learn how top AI labs like Cognition and OpenRouter use intelligent model routing to cut costs by 40% without sacrificing intelligence.
• Beyond the Hype: What Actually Makes a Great AI Engineer? — Stop hiring for buzzwords. Learn the critical skills and mindsets that separate mediocre AI developers from world-class AI engineers.
• Stop Trusting the Score: The Truth About 'Benchmaxxing' in AI — Explore why AI benchmark scores often lie and how 'benchmaxxing' creates a gap between paper performance and real-world utility.
• Barr Yaron on the 2026 State of AI Engineering — What It Means for Developers — Barr Yaron reveals how AI engineering is reshaping software teams, costs, and agent workflows in 2026.
• Should AI Engineers Still Read Code in 2026? The Z/L Continuum Explained — Explore the Z/L Continuum debate on AI code generation, human review bottlenecks, and what top engineers really do in 2026.