# Weco AI Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/weco-ai
> Markdown URL: https://aitinkerers.org/technologies/weco-ai.md
> Technology record last updated: 2026-05-18T12:27:28Z
> Generated: 2026-09-21T10:51:28Z

Weco AI automates the machine learning exploration loop: it proposes, implements, and empirically tests hundreds of code variations overnight.

Weco AI fields an LLM-driven agent, AIDE, to automate the rigorous trial-and-error inherent in ML engineering. This system employs a 'Solution Space Tree Search' methodology: it proposes code edits, executes them locally, and refines solutions based on continuous evaluation metrics. The platform is proven: its predecessor, AIDE ML, secured 4x more medals than the next best autonomous agent on OpenAI’s MLE-Bench across 75 Kaggle competitions, demonstrating superior performance in code optimization and model training. Weco handles GPU kernel tuning, architecture search, and prompt design, allowing ML teams to convert compute power directly into measurable wins, faster and with less manual effort.

- Official technology site: https://www.weco.ai/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Automating building, deployment and maintenance of AI with AI agents](https://london.aitinkerers.org/talks/rsvp_pfh4cKzrGok)

Nowadays, everyone wants to integrate AI into their products or workflows, but building and maintaining AI models remains challenging, especially for non-experts. Weco uses AI agents to help developers implement AI features without dealing with low-level details like prompt engineering, model selection, output structuring, or writing machine learning code. Users submit task descriptions in natural language, and our system provides an API endpoint for the requested AI feature.

- Event context: AI Tinkerers London - July Meetup — 2024-07-09 — London
- Public talk page: https://london.aitinkerers.org/talks/rsvp_pfh4cKzrGok

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