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Introducing CodeSandbox CDE: instant cloud development environments ☁️ Run every branch in a powerful VM ⚡ Resume & fork in 2 seconds 👥 Collaborative 24/7 🪙 Available now with usage-based billing #CDELaunch

CodeSandbox

22,319 subscribers

24,981 views • 2 years ago •via X (Twitter)

Anya Rossi• Live Now

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10 Comments

paulthadev2 years ago

Kudos to everyone behind this good work 👏 💯 @codesandbox

CodeSandbox2 years ago

@fadayopaul Thanks, Paul! The team worked hard on this! We couldn't be more proud of it!

Nine2 years ago

I think you guys are changing the game with this one, it is a step towards remote programming and who knows maybe sooner than later your service will play a huge role in the big playing field. I'd also love to be part of a website redesign to showcase what CodeSandbox really is.

CodeSandbox2 years ago

You are right! We hope the same - helping teams achieve their goals faster, safely, and from wherever they are. tell us more about the showcase!

Chris Laupama2 years ago

This is huge! 👏👏👏

CodeSandbox2 years ago

thanks for your support, Chris!

nick woodward2 years ago

I really like codesandbox now, but is your code really inaccessible once you run out of credits? I hadn't even clocked that I was using DevBoxes and that they were metered. Is it possible to convert 1 Devbox in particular back to a Sandbox just to get access to the code please?

Lucas2 years ago

🔥🖤!

CodeSandbox2 years ago

💚💜⚡️

DiaryOfa ShortGirl2 years ago

I tried making use of your code editor and it is giving me access denied That my IP address has been banned, I would like to know my offense

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24,423 views • 4 months ago

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22,935 views • 6 months ago

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Chao Huang

25,232 views • 7 months ago

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Florian Darroman

45,626 views • 1 month ago

JENSEN HUANG TOLD STANFORD THAT CLOUD AI WILL NEED 1,000 TIMES MORE ENERGY. THE $249 BOX HE BUILT FOR YOUR DESK USES 25 WATTS AND REPLACES A $200/MONTH AI STACK someone posted a 26 year old imac in airplane mode running a modern ai model with no internet. 1.7 million views in 24 hours. the same thing runs on a $249 box from nvidia the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

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starmex

15,822 views • 4 months ago

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

Oren Melamed

29,555 views • 9 months ago

Claude Opus 5.5 just hacked my TV box and turned it into Mac Mini... my AI agents now run 24/7 on free box from my TV provider while I sleep (every step on video) 1 reverse-engineering prompt + guide below = you don't need $899 Mac Mini: step 1 → that box behind your TV is a Linux computer, Claude does the thinking in the cloud, TV box just runs the tools step 2 → Claude Code x-rays it from prompt below + one photo step 3 → it installs a real Linux shell built for your chip, many boxes run 32-bit Android, so the wrong build won't even install step 4 → then it adds a wake lock + battery whitelist, so Android can't kill your agent in the background like normal apps step 5 → it wires the agent to your own Telegram bot: answers only you, zero open ports, your API key never touches the chat step 6 → close your laptop and set a task once, it runs all night with zero babysitting step 7 → optional: hook your TV up as a live terminal and watch the agent think and write every line of code in real time the result: $899 Mac Mini is faster with 8x the RAM, but for small 24/7 AI tasks - TV box does the job (but 8 TV boxes still cost less than one $899 Mac Mini) p.s: this methodworks on Android TV, Google TV and Fire TV boxes on Android 7+, mine has just 2 GB of RAM different box? let Claude Code figure it out Run it today. Then read article below on how to reverse-engineer anything:

Claude Opus 5.5 just hacked my TV box and turned it into Mac Mini... my AI agents now run 24/7 on free box from my TV provider while I sleep (every step on video) 1 reverse-engineering prompt + guide below = you don't need $899 Mac Mini: step 1 → that box behind your TV is a Linux computer, Claude does the thinking in the cloud, TV box just runs the tools step 2 → Claude Code x-rays it from prompt below + one photo step 3 → it installs a real Linux shell built for your chip, many boxes run 32-bit Android, so the wrong build won't even install step 4 → then it adds a wake lock + battery whitelist, so Android can't kill your agent in the background like normal apps step 5 → it wires the agent to your own Telegram bot: answers only you, zero open ports, your API key never touches the chat step 6 → close your laptop and set a task once, it runs all night with zero babysitting step 7 → optional: hook your TV up as a live terminal and watch the agent think and write every line of code in real time the result: $899 Mac Mini is faster with 8x the RAM, but for small 24/7 AI tasks - TV box does the job (but 8 TV boxes still cost less than one $899 Mac Mini) p.s: this methodworks on Android TV, Google TV and Fire TV boxes on Android 7+, mine has just 2 GB of RAM different box? let Claude Code figure it out Run it today. Then read article below on how to reverse-engineer anything:

codila

55,706 views • 2 days ago