Building a desktop-first Vision AI IDE — early thoughts & feedback welcome

senthil kumar — Thu, 01 Jan 2026 07:12:56 +0000

Post:

Hi DEV friends 👋,

Over the past month I’ve been tinkering with an idea: Ml Forge , a desktop-first IDE for Vision AI.

The motivation is simple: most Vision AI workflows feel fragmented. You jump between scripts, configs, dataset tools, training dashboards, and export utilities. My goal is to unify that into one place — with a no-code but still controllable approach.

Here’s what I’ve got so far:

Dataset manager (versioning, splits, validation)

Annotation studio

Training engine with live GPU metrics

Reproducible runs (dataset → config → model)

Logs & metrics

Inference & benchmarking

Export to ONNX, TensorRT, CoreML, TFLite, OpenVINO

Everything is UI-driven — no training scripts or deployment code.

I’d love to hear your perspective:

Does “no-code but controllable” resonate for Vision AI workflows?

What would make a tool like this useful in your day-to-day?

What blockers or concerns do you see?

I’m still early in development, so feedback from this community would be super valuable. Happy to dive into technical details or design trade-offs if anyone’s curious.

This tone works well on DEV because it feels like you’re sharing a journey and inviting collaboration, rather than promoting a product.

Would you like me to also add a short “storytelling hook” at the start (like how you struggled with fragmented workflows yourself) to make it more engaging for DEV readers?
refer the website to get info

DEV Community: senthil kumar

Building a desktop-first Vision AI IDE — early thoughts & feedback welcome