MLCode

MLCode is a coding assistant that turns plain language prompts into production-ready machine-learning scripts.

How to use MLCode

1. Open the dashboard and start a fresh workspace.
2. Type a short brief such as “train a RandomForest on the Titanic data with cross-validation”.
3. Select the preferred framework (PyTorch, scikit-learn or TensorFlow) from the drop-down.
4. Press “Generate” and wait a few seconds while the code appears.
5. Run the built-in linter to catch style or logic issues before export.
6. Download the finished notebook or push it straight to GitHub from the side panel.

What I found during everyday testing

Advantages

• Speedy setup: I moved from idea to runnable notebook in under three minutes on most trials.
• Clear comments: Every block contains short explanations, so teammates understood each step without extra questions.
• Helpful refactor tool: A single click converted vanilla Python into neat functions with type hints.
• Model registry integration: Completed experiments can be logged to Weights & Biases through a simple toggle.
• Fair pricing tier: The free plan allows ten generations daily, which covered light prototyping during my review week.

Drawbacks

• Limited dataset handling: Uploads larger than 200 MB fail silently, forcing a manual split and retry.
• No R support yet: Colleagues who prefer tidyverse workflows must look elsewhere for the moment.
• Sparse documentation search: The help bar often returns “no results” unless the query matches an exact article title.
• Occasional stale packages: One generated script pulled an outdated version of XGBoost, which broke compilation on M1 Macs.

Over two weeks of client work, MLCode shaved hours from repetitive setup and let me focus on tuning rather than scaffolding. Minor hiccups around large file uploads and package versions exist, yet the time saved outweighed those snags for small to mid-size projects. I’ll keep it in my toolkit, especially when a quick proof of concept is all that stands between a meeting and a workable demo.