Prompting Like an Engineer, Not a Wizard

Hosted by Ehsan Gazar

Tue, Jul 7, 2026

6:00 PM UTC (30 minutes)

Virtual (Zoom)

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Production-Ready Systems with LLMs and Agents: An Intensive for Engineers
Ehsan Gazar
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What you'll learn

Write prompts as contracts, not incantations

Turn vague instructions into an explicit contract, fixed inputs, output shape, and constraints, that you can test.

Get structured output you can trust

Make the model return a defined schema with typed fields, then validate it, so code never parses free-form text.

Constrain the input before it hits the model

Never pass raw user text straight through; shape, bound, and sanitise it first.

Why this topic matters

Most 'flaky' LLM features aren't the model being random, they're a vague prompt it was free to read three different ways. Prompting like an engineer means writing an instruction it can't misread, getting output your code can trust, and constraining the input before it ever reaches the model. In 30 minutes you'll turn prompts from hopeful prose into something you can actually test.

You'll learn from

Ehsan Gazar

Principal Engineer, 500+ mentees, 16 years in production

I'm a Principal Engineer with 16 years of experience building and scaling production systems across fintech, SaaS, and enterprise software. I've made hundreds of real architectural decisions in systems that had to survive real traffic, incidents, and org politics.

I've run 500+ mentorship sessions with senior engineers at a 5.0 rating, helping them close the gap between writing code and thinking at the architectural level. I've also taught 10,000+ students and distilled what separates engineers who get promoted from those who stay stuck.

I'm not an academic. Every framework here comes from real decisions or mistakes I had to recover from. I’ll teach you to think like a Principal Engineer: not “what’s the right answer,” but “what are the trade-offs, and what survives contact with reality.”

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