Engineering
7 articles tagged with this topic
AI Agent Demo Is Step One — Six Engineering Pieces to Production
Taking an AI agent from demo to enterprise production needs six engineering pieces — more practical and underrated than swapping in a stronger model.
AI Model Deployment Reality Check: Inside KServe's 9-Step Reconcile Loop
A new source-code breakdown reveals KServe needs 9 reconciliation steps from YAML to production — a real cost factor for enterprise AI deployment.
AI Automation's Most Dangerous Failure Isn't Errors—It's 'Fake Success'
When AI workflows report 'success,' the task may have silently failed. A developer's four safeguards offer a blueprint for any enterprise deploying AI
AI Long-Form Writing Stalls at Chapter 30 — No One Built the Method
A dev built a 3-month system letting AI write 270 chapters without breaking. Rework fell from 40% to 8%. His finding: AI fails complex work on process
AI Agents Have No Magic: Open the Core Loop and You Find a Trial-and-Error Worker
A code breakdown reveals: AI Agents are just 'read→think→act→check→repeat' loops with error handling. Your subscription dollars buy real intelligence—
Claude Code: How an 8-Person Team Hit Three Skill-Conflict Failure Modes — Agent Tooling Needs
Claude Code post-mortem: shared Agent skills collide on overlapping descriptions, skipping tests in production. Root cause isn't code—it's imprecise d
Doubao Agent Introduces Background Tasks: AI Needs Parallel Processing to Ship
Doubao Agent tackles single-thread blocking by adding background tasks. The AI Agent bottleneck is shifting from model capability to engineering archi