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© 2026 Ali Haitham Yosef. All rights reserved.Hand-built in React 19. No frameworks of frameworks.Last deployed · 2026-05-08All systems operational
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SERIES · Series 03

AI-paired engineering, in production.

Three parts on what AI-paired engineering looks like once the demo is over and the bill arrives.

3parts11min total
Start with Part 1→Skim the parts↓
THE PREMISE

Pair programming with an LLM is easy to do, and hard to do well at scale. This series covers the workflow shape, the eval suite that catches regressions before they reach the user, and the cost guardrails that make the math work in production.

THE SEQUENCE✓ read · ◐ in progress · ○ unread
  1. 01○
    AI-paired engineering, part one: the workflowSeries opener. Where the model helps, where it lies, and how we built a daily rhythm around both.
    Feb 2, 202611 min
    →
1 parts · 11 min total
ALSO ON THIS TOPIC
  • SD
    Jan 26, 2026·AI engineering

    Spec-driven development with LLMs

    A spec the model can act on without rework. The structure, the anti-patterns, the actual diff.

    9 min
  • ES
    Jan 18, 2026·AI engineering

    Eval suites for non-deterministic tools

    How to test something that gives a different answer twice. The harness, the tolerances, the budget.

    8 min
  • CG
    Jan 10, 2026·AI engineering

    Cost guardrails for AI workflows

    A small accounting library that pays for itself in three weeks. Tokens, retries, and the budget alarm.

    6 min
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