AI Code Matcher & Generator
Budget / Salary$30–250
TypeFreelance project
LocationRemote
Posted1 hour ago
I’m building an AI-driven engine that, when given an existing snippet, outline, or other prompt, can create a complete working codebase. The initial scope focuses on Python and JavaScript; additional languages may follow once the core logic is proven effective.
After we sign a mutual NDA I’ll share the exact domain and examples, but in essence the model must:
• Accept a reference input (textual spec, partial code, or file)
• Analyse intent and structure, then generate an end-to-end solution in the target language
• Return clean, runnable code along with minimal documentation/comments
• Offer a similarity-matching report to show how the generated result traces back to the original input
You are free to leverage large-language-model APIs, embeddings, or build a custom transformer—whichever achieves reliable, reproducible output. I’ll value evidence of previous work with GPT, LangChain, vector databases, or comparable tooling, as well as sound software-engineering practices (version control, tests, modular design).
Deliverables will be:
1. Working prototype supporting Python and JavaScript generation
2. README outlining setup, model choices, and extension hooks
3. Brief demo video or notebook showcasing the system end-to-end
I’ll review against our agreed examples: the resulting code must execute without manual fixes and the similarity report should be clear and reproducible. If this aligns with your expertise, let’s discuss the NDA and milestones.
After we sign a mutual NDA I’ll share the exact domain and examples, but in essence the model must:
• Accept a reference input (textual spec, partial code, or file)
• Analyse intent and structure, then generate an end-to-end solution in the target language
• Return clean, runnable code along with minimal documentation/comments
• Offer a similarity-matching report to show how the generated result traces back to the original input
You are free to leverage large-language-model APIs, embeddings, or build a custom transformer—whichever achieves reliable, reproducible output. I’ll value evidence of previous work with GPT, LangChain, vector databases, or comparable tooling, as well as sound software-engineering practices (version control, tests, modular design).
Deliverables will be:
1. Working prototype supporting Python and JavaScript generation
2. README outlining setup, model choices, and extension hooks
3. Brief demo video or notebook showcasing the system end-to-end
I’ll review against our agreed examples: the resulting code must execute without manual fixes and the similarity report should be clear and reproducible. If this aligns with your expertise, let’s discuss the NDA and milestones.
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