WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2025 • Aug 20, 2025 • Session details

Three years of putting LLMs into Software - Lessons learned

Simon A.T. Jiménez

Models do not think, they are simply high-dimensional pattern matchers. Learn how to treat LLMs as an unreliable API tier using robust error handling, strict constraints, and secure architectures.

Three years of putting LLMs into Software - Lessons learned thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

1:17 min

Understanding the unique architecture of LLM applications

Saloni Garg Saloni Garg · World Congress 2026 North America

5:30 min

Building components of a real-world LLM lifecycle

Maxim Salnikov Maxim Salnikov · LIVE

4:29 min

Designing AI applications defensively for inevitable failures

Krzysztof Cieślak Krzysztof Cieślak · World Congress 2026 Europe

1:59 min

Building culturally aware LLMs for global audiences

Werner Vogels Werner Vogels +1 · World Congress 2026 Europe

2:36 min

Evaluating LLM applications beyond standard correctness benchmarks

Saloni Garg Saloni Garg · World Congress 2026 North America

3:03 min

Addressing liability and governance in AI models

Christian Heilmann Christian Heilmann +1 · World Congress 2026 North America

More from World Congress 2025

GenAI Security: Navigating the Unseen Iceberg thumbnail
24:33

GenAI Security: Navigating the Unseen Iceberg

Maish Saidel-Keesing · AWS

Behind the Code: How Women Are Powering the Future of AI thumbnail
30:28

Behind the Code: How Women Are Powering the Future of AI

Alexandra Wudel +2

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise? thumbnail
28:12

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?

Justus Lumpe +3

AI in Leadership: How Technology is Reshaping Executive Roles thumbnail
28:19

AI in Leadership: How Technology is Reshaping Executive Roles

Bernd Datler +3

The AI-Ready Stack: Rethinking the Engineering Org of the Future thumbnail
28:09

The AI-Ready Stack: Rethinking the Engineering Org of the Future

Alex Laubscher +3

AI Sovereignty: What Does It Take? thumbnail
29:13

AI Sovereignty: What Does It Take?

Boris Hecker +3

Upcoming sessions on this topic

Open session

Engineering AI Strategy: Beyond the Hype

  • Omkar Srivastava

    ADSK

    Engineering Leader

Open session

Decision models for developers who use LLMs

  • Anurag Bhandari

    antelligent

    CTO

Open session

Enterprise AI Memory at Scale

  • Aditya Joshi

    Walmart

    Senior Software Engineer

Open session

Your AI Agents Are Bleeding Tokens: Building a Runtime Cost Control Plane for LLMs

  • Aakriti Aggarwal

    IBM Research

    Research Engineer

  • Bhavishya Pandit

    66degrees

    Leading AI Innovation

Open session

The Dream Team You Didn't Know You Had - Multi-Model, Multi-Agent, One Software Lifecycle

  • Aditya Dua

    GitHub

    Senior Manager, Field Services, SAARC

Open session

Build a Zero-Cost AI Agent in Your Browser

  • Aishwarya Mathuria

    Adobe

    Computer Scientist

  • Nishant Thakur

    Adobe

    Senior Computer Scientist

Related videos

Command and Conquer: How we let an LLM control our Software thumbnail
37:51

Command and Conquer: How we let an LLM control our Software

Simon A.T. Jiménez · chax.at

Europe Virtual · 2026

You are not an AI developer thumbnail
23:55

You are not an AI developer

Zan Markan · Ditto

World Congress · 2024

How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge thumbnail
42:26

How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge

Meta Atamel +1

Coffee With Developers · Apr 2025

Using LLMs in your Product thumbnail
31:12

Using LLMs in your Product

Daniel Töws · codecentric

World Congress · 2024

Prompt Injection, Poisoning & More: The Dark Side of LLMs thumbnail
23:24

Prompt Injection, Poisoning & More: The Dark Side of LLMs

Keno Dreßel · SQUER

World Congress · 2025

How AI Models Get Smarter thumbnail
35:16

How AI Models Get Smarter

Ankit Patel · NVIDIA

World Congress · 2025

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.