WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

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

Simon A.T. Jiménez

Simon Jimenez proves treating LLMs as unreliable APIs ensures stable software. Massive prompts fail. Discover how a plan-and-fulfill architecture safely gives AI the keys to your application.

Pause
Mute Enter Fullscreen
#1 about 3 min

Letting large language models control software applications

Implementing a command pattern allows users to naturalistically manage software requirements without needing manual inputs.

#2 about 5 min

Transitioning from proprietary models to multi-provider routing

Adopting an agnostic model infrastructure prevents vendor lock-in and accommodates regional hosting constraints.

#3 about 4 min

Handling provider inconsistencies and fallback offline modes

Building robust endpoint strategies manages varying API schema compliance and offline scenarios effectively.

#4 about 4 min

Mitigating language model unpredictability and parsing issues

Extracting structural output with a custom JSON parser handles the chattiness and language drifts of large models.

#5 about 6 min

Managing token consumption and knowledge base context

Implementing scoped context limits prevents unexpected invoice spikes from massive integrations like confluence document syncs.

#6 about 3 min

Securing data with tenant endpoints and handling timeouts

Allowing custom tenant endpoints prevents information leakage while asynchronous requests require careful timeout management.

#7 about 5 min

Designing safe user experiences with human approval

Proposing operations instead of auto-executing them ensures critical data modifications are explicitly reviewed by human operators.

#8 about 5 min

Improving reliability through plan and fulfill prompting

Splitting complex tasks into a lightweight planning phase and dedicated fulfillment steps drastically improves execution reliability.

#9 about 3 min

Automating compliance reviews with specialized context prompts

Running targeted system prompts against user stories enables automated GDPR checks and generates resolution suggestions.

#10 about 5 min

Key takeaways for treating language models as APIs

Treating large language models as unreliable external APIs demands strict validation and continuous prompt versioning.

Matching moments

1:44 min

Summarizing developer experience and artificial intelligence companions

Robert Hoffmann Robert Hoffmann +1 · LIVE

1:12 min

Enhancing conversational intent through modern large language models

Nathaniel Okenwa Nathaniel Okenwa · WWC 2025

2:21 min

Transitioning from AI co-pilots to AI-native products

Jordan Tigani Jordan Tigani · WWC Europe 2026

5:30 min

Building components of a real-world LLM lifecycle

Maxim Salnikov Maxim Salnikov · LIVE

3:26 min

Introducing LLMs as judges for automated testing

Sebastian Messingfeld Sebastian Messingfeld · WWC Europe 2026

2:08 min

Applying large language models to infrastructure tasks

Alfonso Sandoval Rosas Alfonso Sandoval Rosas · Europe 2026 Virtual

More from World Congress 2026 Europe - Virtual Stage

One Does Not Simply Make Architecture Decisions Alone thumbnail
36:15
29 days ago

One Does Not Simply Make Architecture Decisions Alone

Vladas Diržys

From Black Box to Glass Box : Bedrock AgentCore Observability thumbnail
21:15
about 1 month ago

From Black Box to Glass Box : Bedrock AgentCore Observability

Yasemin Aktürk

Leading in Rhythm: How Women Make Better Decisions with Biological Intelligence thumbnail
30:41
about 1 month ago

Leading in Rhythm: How Women Make Better Decisions with Biological Intelligence

Julia Grosse

Better Together: Leveraging Your Observability Tools as a SIEM thumbnail
39:06
about 1 month ago

Better Together: Leveraging Your Observability Tools as a SIEM

Mathias Palmersheim

ChatGPT Apps: From Chat to Checkout thumbnail
30:29
about 1 month ago

ChatGPT Apps: From Chat to Checkout

Aaron Koivunen

Interior Decorating (TypeScript Decorators) thumbnail
29:22
about 1 month ago

Interior Decorating (TypeScript Decorators)

Michael Dowden

Upcoming sessions on this topic

Open session

World Congress 2026 North America

No Single Model to Rule Them All: Building Resilient AI Agents Across Open & Closed LLMs

Emmanuel Acheampong

Senior Manager Developer Relations at Crusoe AI

Emmanuel Acheampong
Open session

World Congress 2026 North America

Understanding LLM Architectures: Inside the Design of Modern Models

Jofia Jose Prakash

Enterprise AI Architect at American Chemical Society

Jofia Jose Prakash
Open session

World Congress 2026 North America

Reinventing Testing Practices in the AI Era

Eric Deandrea

Java Champion & Senior Principal Software Engineer, IBM

Eric Deandrea
Open session

World Congress 2026 North America

When Humans Stop Writing Code: Rethinking Languages, Compilers, and Responsibility

Simon Auer

Organizer of flutter vienna meetup and CEO of marqably

Simon Auer
Open session

World Congress 2026 North America

You Can’t Re-Run Sunlight: Designing ML Data Architectures for Physical AI

An Phan

Senior Data Infrastructure Engineer @ Hippo Harvest

An Phan
Open session

World Congress 2026 North America

Rattlesnakes, LLMs, and the Truly Good Product

Ben Makuh

Senior Staff Engineer @ Miro

Ben Makuh

Related videos

Three years of putting LLMs into Software - Lessons learned thumbnail
26:30
WWC 2025 • 12 months ago

Three years of putting LLMs into Software - Lessons learned

Simon A.T. Jiménez

The Limits of LLMs in Real-World Applications thumbnail
31:07
WWC Europe 2026 • about 1 month ago

The Limits of LLMs in Real-World Applications

Deivids Vilkinsons, Guillaume Esnou, Laura Moritz, Mariam Hakobyan

Bringing the power of AI to your application. thumbnail
32:26
WWC 2024 • almost 2 years ago

Bringing the power of AI to your application.

Krzysztof Cieślak

Stop Parsing Strings: Treating LLMs Like Type-Safe Microservices thumbnail
30:55
WWC Europe 2026 • about 1 month ago

Stop Parsing Strings: Treating LLMs Like Type-Safe Microservices

André Behrens

Using LLMs in your Product thumbnail
31:12
WWC 2024 • almost 2 years ago

Using LLMs in your Product

Daniel Töws

You are not an AI developer thumbnail
23:55
WWC 2024 • almost 2 years ago

You are not an AI developer

Zan Markan

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.