The next generation AI workspace for building intelligent applications. Create, collaborate, and innovate with cutting-edge AI tools. Currently the tool is in BETA stage.
Checkmarx Developer Assist for AI IDEs — Security linter for vibe coding: fix vulns as you build
Security linter for vibe coding: fix vulns as you build
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Maker
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I wanted to learn machine learning concepts, not Python syntax—so I built a visual drag-and-drop interface that lets you focus on understanding algorithms instead of debugging code errors.
Coding gets in the way of learning ML—students spend 80% of their time on syntax instead of concepts, business analysts can't experiment without learning Python, and educators struggle to teach algorithms when students are stuck on code errors.
We started focused on time-series forecasting, added real-time collaboration when users asked for it, then built code export after discovering data scientists wanted to prototype visually and export to production—the product evolved based on what users actually did, not what we assumed they'd need.
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Maker
AI Lab is built to simplify and accelerate ML/DL/RL workflow development, especially for students, researchers, developers, startups, and small businesses that don’t have large engineering teams. In this beta, we’re introducing the core features we believe form the foundation of a modern AI R&D workspace:
🔹 No-code Workflow Builder Create ML/DL/RL pipelines visually using drag-and-drop components, without dealing with environment setup or complex infra.
🔹 Code-First Experimentation Sandbox (coming next) For researchers and advanced users, we’re bringing full code flexibility so you can experiment, iterate, and customize your workflows deeply.
🔹 Automated Pipeline Setup No manual configuration, no dependency headaches — AI Lab handles the underlying setup so you can focus on experimenting.
🔹 Team Collaboration Work with your teammates in a shared workspace, track workflows, and iterate together in real time.
🔹 Template Publishing Build once, publish as a reusable template, and share with your team or the community to accelerate future experiments.
We’re excited to keep expanding these features and refining everything based on your feedback. This beta is only the beginning, and your early support is helping shape what AI Lab becomes next.
Thank you again for trying it out, sharing feedback, and supporting our launch. It truly means a lot to us. 🙏
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Nice product easy to build ML workflows and download the model, saves compute on my side
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The feature to download .ipynb makes it easy to submit as assignments
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I just tried this and what I liked was the modularity is good, it generates an ideal code in form of .ipynb and .py, it is something that I am going to use to research around and submit my assignments.
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The collaboration feature is much needed I can do pair programming with my team and discuss and build workflows quickly
AI Lab is built to simplify and accelerate ML/DL/RL workflow development, especially for students, researchers, developers, startups, and small businesses that don’t have large engineering teams. In this beta, we’re introducing the core features we believe form the foundation of a modern AI R&D workspace:
🔹 No-code Workflow Builder
Create ML/DL/RL pipelines visually using drag-and-drop components, without dealing with environment setup or complex infra.
🔹 Code-First Experimentation Sandbox (coming next)
For researchers and advanced users, we’re bringing full code flexibility so you can experiment, iterate, and customize your workflows deeply.
🔹 Automated Pipeline Setup
No manual configuration, no dependency headaches — AI Lab handles the underlying setup so you can focus on experimenting.
🔹 Team Collaboration
Work with your teammates in a shared workspace, track workflows, and iterate together in real time.
🔹 Template Publishing
Build once, publish as a reusable template, and share with your team or the community to accelerate future experiments.
We’re excited to keep expanding these features and refining everything based on your feedback. This beta is only the beginning, and your early support is helping shape what AI Lab becomes next.
Thank you again for trying it out, sharing feedback, and supporting our launch. It truly means a lot to us. 🙏
Nice product easy to build ML workflows and download the model, saves compute on my side
The feature to download .ipynb makes it easy to submit as assignments
I just tried this and what I liked was the modularity is good, it generates an ideal code in form of .ipynb and .py, it is something that I am going to use to research around and submit my assignments.
The collaboration feature is much needed I can do pair programming with my team and discuss and build workflows quickly
Swytchcode
Nice. Congrats on the launch!