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# Three years of putting LLMs into Software - Lessons learned


- **Date:** Thursday, Jul 10, 2025
- **Time:** 12:50–13:20 (30 min)
- **Room:** Stage 2
- **Event:** World Congress 2025
- **Tags:** ai, aws, azure, llms, node.js, typescript

## Recording

[Watch recording](https://www.wearedevelopers.com/videos/1508-three-years-of-putting-llms-into-software-lessons-learned)

## Description

After GPT 3.5 came out, many wanted to augment their software with LLMs - or, AI, as most call it. We built a lot of such features into different software, with transcription, commands, live feedback, different services, that made us sometimes feel superhuman and sometimes humbled us down.
So, after three years, its time for a recap - I'll show real results, talk about (exactly) how we made it, what the customers liked about it and what they disliked. I'll show the differences between commercial and self-hosted, discuss prompting, fine-tuning and when-not-to-finetune.
I'll talk about the time we needed to add those functionalities, and how well it did work - and the talk will be kept up-to-date until the last week before the event ;)

## Speaker

### [Simon A.T. Jiménez](https://www.wearedevelopers.com/@simon-a-t-jimenez)

create better software specifications in less time


## Related talks at this congress

- [Inside the Mind of an LLM](https://www.wearedevelopers.com/events/world-congress-2025/sessions/831-inside-the-mind-of) — Emanuele Fabbiani
- [Exploring LLMs across clouds](https://www.wearedevelopers.com/events/world-congress-2025/sessions/525-exploring-llms) — Tomislav Tipurić
- [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/events/world-congress-2025/sessions/917-how-we-built-an-ai) — Yan Cui
- [Hello JARVIS - Building Voice Interfaces for Your LLMS](https://www.wearedevelopers.com/events/world-congress-2025/sessions/643-hello-jarvis) — Nathaniel Okenwa