Augment Code
Cursor
Claude Code
Codex 3.0 by OpenAI
Google Antigravity
warp by spolu
Kiro
Windsurf Editor
Modal
e2b
Zerve AI
Hugging Face
Replicate.com
Cerebrium
Microsoft Azure
dat1.co
Augment Code
ModalBased on our record, Modal seems to be a lot more popular than Augment Code. While we know about 45 links to Modal, we've tracked only 4 mentions of Augment Code. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Congrats. From my experience, Augment (https://augmentcode.com) is best in class for AI code context. How does this compare? - Source: Hacker News / 8 months ago
Augment Code Works in VS Code and JetBrains. Built for coders. Can execute code, run terminal, find issues, and analyze the code. Find performance optimization ideas in production. - Source: dev.to / about 1 year ago
At Augment (https://augmentcode.com) we were one of the partner who tested 3.7 pre-launch. And it has been a pretty significant increase in quality and code understanding. Happy to answer some questions FYI, We use Claude 3.7 has part of the new features we are shipping around Code Agent & more. - Source: Hacker News / over 1 year ago
IMHO, I would agree with you. I think chat is a nice intermediary evolution between the CLI (that we use every day) and whatever comes next. I work at Augment (https://augmentcode.com), which, surprise surprise, is an AI coding assistant. We think about the new modality required to interact with code and AI on a daily basis. Beside increase productivity (and happiness, as you don't have to do mundane tasks like... - Source: Hacker News / over 1 year ago
If you've used E2B, Daytona, Modal sandboxes, or Cloudflare Sandboxes, the shape is familiar: REST API, Python and JS SDKs, exec / files / snapshot primitives. Here's what the Python SDK looks like:. - Source: dev.to / 2 months ago
The supported environments include your local machine, Docker containers, remote SSH servers, and two serverless options called Daytona and Modal. Daytona and Modal are the interesting ones for beginners as they handle all the infrastructure for you, and you only pay for compute when Hermes is actively doing something. - Source: dev.to / 3 months ago
TL;DR: If you just need to ship fast, E2B has the best SDK experience. If you need the fastest cold starts, Blaxel wins at 25ms. For GPU workloads, Modal is unmatched. For self-hosted control, Daytona is open-source with a managed option. For persistent long-running sessions, Fly.io Sprites gives you 100GB NVMe per sandbox. - Source: dev.to / 4 months ago
* dramatically increasing inference throughput on [modal.com](http://modal.com) meant I could generate 10s of thousands of tiles in a few hours at very little cost, allowing me to experiment much more rapidly This project continues to be a lot of fun, but Iโm now mostly focusing on the agentic workflows that power this kind of ambitious generation at scale. Canโt wait to share more soon. - Source: Hacker News / 5 months ago
Thanks for sharing this interesting project and approach! One suggestion for improvement: Add some more info to your website/GitHub about the need for a provider and which providers are compatible. It took me a bit to figure that out because there was no prominent info about it. Additionally, none of the demos showed a login or authentication part. To me, it seemed like the VMs just came out of nowhere. So at... - Source: Hacker News / 5 months ago
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.
e2b - Open-Source AI Powered IDE That Does The Work For You
Claude Code - Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebaseโno more context switching, just breakthrough results.
Zerve AI - What if Jupyter + Figma + VSCode had a baby?
Codex 3.0 by OpenAI - Codex can now build, test & debug on autopilot
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.