Unrestricted AI DevOps Assistant -- 2
Budget / Salary$1,500–3,000
TypeFreelance project
LocationRemote
Posted2 hours ago
I want to build a Codex-style companion that runs inside or alongside ChatGPT and can move from blank prompt to a live product with virtually no guardrails. The assistant must be able to:
• Generate production-ready code in Python, JavaScript and Java
• Spin up static sites, dynamic web apps and even mobile builds automatically
• Detect, explain and patch errors as they appear during compilation, testing or deployment
End-to-end automation is paramount: once I describe the idea, the AI should wire up repos, provision hosting, push to production and hand back URLs or installable builds without human intervention. Any solution—fine-tuning an existing LLM, chaining models, or wrapping bespoke tooling—is acceptable as long as it keeps the conversation flow inside ChatGPT.
Deliverables (acceptance criteria)
1. An integrated ChatGPT plug-in, wrapper, or API workflow that accepts natural-language specs and returns running applications.
2. Source code, model weights/configs and wiring scripts for deployment pipelines (CI/CD, Docker, serverless, or alternatives you choose).
3. Demonstration showing the AI generating, deploying and hot-fixing a sample static site, a CRUD web app and a simple mobile app.
4. Clear setup guide so I can replicate everything on my own infrastructure.
If you already have experience extending Codex-like models, orchestrating DevOps pipelines or removing artificial limitations from LLM workflows, this project will let you flex those skills. I value clean architecture, transparent reasoning steps and documented safeguards to keep the system operational even as it remains restriction-free.
• Generate production-ready code in Python, JavaScript and Java
• Spin up static sites, dynamic web apps and even mobile builds automatically
• Detect, explain and patch errors as they appear during compilation, testing or deployment
End-to-end automation is paramount: once I describe the idea, the AI should wire up repos, provision hosting, push to production and hand back URLs or installable builds without human intervention. Any solution—fine-tuning an existing LLM, chaining models, or wrapping bespoke tooling—is acceptable as long as it keeps the conversation flow inside ChatGPT.
Deliverables (acceptance criteria)
1. An integrated ChatGPT plug-in, wrapper, or API workflow that accepts natural-language specs and returns running applications.
2. Source code, model weights/configs and wiring scripts for deployment pipelines (CI/CD, Docker, serverless, or alternatives you choose).
3. Demonstration showing the AI generating, deploying and hot-fixing a sample static site, a CRUD web app and a simple mobile app.
4. Clear setup guide so I can replicate everything on my own infrastructure.
If you already have experience extending Codex-like models, orchestrating DevOps pipelines or removing artificial limitations from LLM workflows, this project will let you flex those skills. I value clean architecture, transparent reasoning steps and documented safeguards to keep the system operational even as it remains restriction-free.
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