Appreciate some feedback
Would appreciate some feedback on the article I have written folks. Thank you for spending time.
​
https://www.linkedin.com/posts/idushyantmishra\_devtools-gtm-buildfromindia-activity-6890270010779021312-q5yA
https://redd.it/s9fyjj
@r_devops
Would appreciate some feedback on the article I have written folks. Thank you for spending time.
​
https://www.linkedin.com/posts/idushyantmishra\_devtools-gtm-buildfromindia-activity-6890270010779021312-q5yA
https://redd.it/s9fyjj
@r_devops
Linkedin
Attached is the landscape in the developer tools space where we have - Dushyant Mishra on LinkedIn | 30 comments
Attached is the landscape in the developer tools space where we have tried to map some startups which are building from India for the world, in each section... 30 comments on LinkedIn
We built a tool to deploy from Cursor or Claude with one prompt
👋 Hey DevOps folks
We built an MCP server that lets you deploy your app to the cloud just by typing deploy inside your IDE chat (like Cursor or Claude).
Right now, it deploys to our Playground and we’re working on AWS, GCP, and DigitalOcean support next.
Here’s a quick demo video showing how it works:
🎥 https://www.linkedin.com/feed/update/urn:li:activity:7320490826004852737/
Docs if you want to explore or test it.
Any feedback would be appreciated! 💙
https://redd.it/1k5kgex
@r_devops
👋 Hey DevOps folks
We built an MCP server that lets you deploy your app to the cloud just by typing deploy inside your IDE chat (like Cursor or Claude).
Right now, it deploys to our Playground and we’re working on AWS, GCP, and DigitalOcean support next.
Here’s a quick demo video showing how it works:
🎥 https://www.linkedin.com/feed/update/urn:li:activity:7320490826004852737/
Docs if you want to explore or test it.
Any feedback would be appreciated! 💙
https://redd.it/1k5kgex
@r_devops
Linkedin
#vibecoding #defang #devtools #ai #clouddeployment #docker #compose… | Defang Software Labs
Introducing Defang MCP ✨
Deploy your vibe coded project from any IDE to the cloud
🌀 Whether you’re using:
→ Cursor
→ Windsurf
→ VS Code
→ Claude
Just prompt “deploy” → You’re live.
Try it for your weekend project → https://lnkd.in/gEaCHEzk
Let us know…
Deploy your vibe coded project from any IDE to the cloud
🌀 Whether you’re using:
→ Cursor
→ Windsurf
→ VS Code
→ Claude
Just prompt “deploy” → You’re live.
Try it for your weekend project → https://lnkd.in/gEaCHEzk
Let us know…
built something, open for your valuable feedback and improve
Hello Guys ,
I was working as an intern and had good networking and met a lot of wonderful people and always I wanted to finish the allocated task before the deadline I was constantly relying on LLMs and switching multiple accounts if the usage limit is complete. Felt a gap and tried to learn the concept after building, but felt like there is Intellectual Privacy Risk of leakage and a lot of hallucinations. I always like Linux and The Rust Programming Language so felt the privacy to be for code and thought of making it #Zero_Knowledge like redacting the secrets , having the code I sent to be abstracted with non-meaningful placeholders like example : openai_key: str | None = os.getenv("OPENAI_API_KEY") -> variable_1: str | None = os.getenv(string_literal_1) , (<<FUNC_A3B4C5>>) and mapping and for Python, I was looking up and came across Abstract Syntax Tree (AST) parsing ,this disrupts the LLM's pattern-matching engine, forcing it to focus only on the generic logic problem and preventing it from "guessing" the purpose of your code or hallucinating . And the LLM is prompted with inbuilt LINE BY LINE guidance to return only the difference (a Unified Diff) for the modified files like GitHub , drastically cutting down output tokens and reducing API costs. Project File Tree and uses clear, standard Markdown language fences to give the LLM the full context of a multi-file project, addressing the common problem of LLMs missing the "big context" of a complex system code. there was good tools like #Flake8, #Bandit, #ESLint, #tsc, and #Cargo in parallel across multiple languages to check for syntax, security, and type issues and used it . final code is executed inside a resource-limited, network-disabled Docker sandbox to run tests (user-provided or generated placeholders). This catches runtime failures and provides static concurrency analysis for complex Python code, flagging potential lock-order deadlocks in code. I have added the support for local machines and small instruction to setup if you have good system built Google Chrome will work #Safari is blocking and working on it and the LLM's authoritative ROLE persona, ensuring a professional and security-conscious tone. so the LLM to commit to a #Chain_of_Thought reasoning before generating code. This significantly improves fix quality and reduces hallucinations. This is a BRING YOUR OWN KEY (#BYOK) model so you have your favourite API and you have the control and I limited the tiers just because to reduce my billings to run this and I'm working on improving this and building this as a one person so reach me out for all your feed back.
its live ! and its #ZERO_PIRATE \-> 0pirate
https://0pirate.com/
#developer #devtools
https://redd.it/1o05qd6
@r_devops
Hello Guys ,
I was working as an intern and had good networking and met a lot of wonderful people and always I wanted to finish the allocated task before the deadline I was constantly relying on LLMs and switching multiple accounts if the usage limit is complete. Felt a gap and tried to learn the concept after building, but felt like there is Intellectual Privacy Risk of leakage and a lot of hallucinations. I always like Linux and The Rust Programming Language so felt the privacy to be for code and thought of making it #Zero_Knowledge like redacting the secrets , having the code I sent to be abstracted with non-meaningful placeholders like example : openai_key: str | None = os.getenv("OPENAI_API_KEY") -> variable_1: str | None = os.getenv(string_literal_1) , (<<FUNC_A3B4C5>>) and mapping and for Python, I was looking up and came across Abstract Syntax Tree (AST) parsing ,this disrupts the LLM's pattern-matching engine, forcing it to focus only on the generic logic problem and preventing it from "guessing" the purpose of your code or hallucinating . And the LLM is prompted with inbuilt LINE BY LINE guidance to return only the difference (a Unified Diff) for the modified files like GitHub , drastically cutting down output tokens and reducing API costs. Project File Tree and uses clear, standard Markdown language fences to give the LLM the full context of a multi-file project, addressing the common problem of LLMs missing the "big context" of a complex system code. there was good tools like #Flake8, #Bandit, #ESLint, #tsc, and #Cargo in parallel across multiple languages to check for syntax, security, and type issues and used it . final code is executed inside a resource-limited, network-disabled Docker sandbox to run tests (user-provided or generated placeholders). This catches runtime failures and provides static concurrency analysis for complex Python code, flagging potential lock-order deadlocks in code. I have added the support for local machines and small instruction to setup if you have good system built Google Chrome will work #Safari is blocking and working on it and the LLM's authoritative ROLE persona, ensuring a professional and security-conscious tone. so the LLM to commit to a #Chain_of_Thought reasoning before generating code. This significantly improves fix quality and reduces hallucinations. This is a BRING YOUR OWN KEY (#BYOK) model so you have your favourite API and you have the control and I limited the tiers just because to reduce my billings to run this and I'm working on improving this and building this as a one person so reach me out for all your feed back.
its live ! and its #ZERO_PIRATE \-> 0pirate
https://0pirate.com/
#developer #devtools
https://redd.it/1o05qd6
@r_devops
LinkedIn
LinkedIn: Log In or Sign Up
1 billion members | Manage your professional identity. Build and engage with your professional network. Access knowledge, insights and opportunities.