NL2Repo / AI Software Engineer Needed

@Herculesz

Hi, Translating natural language requirements into precise repository-level code changes is a complex engineering challenge that hinges on robust code understanding and validation. The main risk lies in ensuring accurate interpretation and safe application of changes without introducing regressions. I usually structure such systems by separating the natural language parsing, code generation, and testing layers to maintain clarity and control. My experience with Custom Feature Development & Integration involved deep codebase reviews and implementing well-tested features directly in live repositories, which aligns with your needs. Additionally, my work on Python Bug Localization using transformer models shows my capability to apply AI models effectively to code analysis and debugging, which is critical for automated repair and validation. I would first validate the natural language interpretation accuracy and establish automated testing pipelines to catch unintended side effects early. Thanks, Hercules

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Python, and similar tools. I have worked with pytorch, and tensorflow to develop DL models, .I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@gutibs

Hi! This is a space we're genuinely comfortable operating in — building tooling that lets an LLM reason over an existing codebase and produce real, working patches rather than isolated snippets. Before going further: are you looking for someone to build or extend an NL2Repo-style pipeline itself (the agent, its retrieval/context layer, patch generation and validation loop), or are you looking for someone to use an existing coding agent to complete repository-level tasks on a specific codebase of yours? Those are two different engagements — one is infrastructure work around orchestrating an LLM against a repo, the other is applied work inside your actual project — and it changes both scope and how we'd structure the first milestone. On how we'd approach the infrastructure version: we'd lean on Claude API with tool-calling for repo navigation, diff generation and test execution, backed by a retrieval layer (pgvector or similar) so the model grounds its changes in the actual code rather than hallucinating structure. Validation would run through the existing test suite as the acceptance gate before any patch is considered done. If it's the applied version instead, we'd want to see your repo and CI setup first to scope realistically. I'd rather clarify this than send unrelated samples that don't match either path. Gustavo & the DoTheCode team

@toriquldev123

Hello There! I’m Md Toriqul Islam, and I’m an experienced full-stack Python developer with strong experience in repository-level development, debugging, testing, API integration, and AI-assisted software workflows. I understand you need an engineer who can translate natural-language requirements into reliable changes across existing repositories, including implementation, automated testing, debugging, validation, and code review. I can work systematically through unfamiliar codebases while preserving existing architecture and behavior. I am skilled in Python, Django, FastAPI, JavaScript, React, Git, Docker, testing, debugging, and AI/automation workflows. I have some questions: 1. Which repositories or benchmark tasks will be used initially? 2. Do you require SWE-bench-specific experience? 3. Which evaluation and testing framework do you use? I’m ready to discuss relevant technical samples and your evaluation process. Best regards, Md Toriqul Islam

@corpmember29

NL2REPO / SWE-BENCH EXPERIENCE IS WHERE I CAN ADD REAL VALUE—TURNING NATURAL-LANGUAGE REQUIREMENTS INTO CORRECT, TESTED CHANGES INSIDE EXISTING REPOSITORIES. I have 12 years of IT experience and hands-on experience with AI-assisted software engineering, coding agents, repository-level code changes, debugging and automated testing. My role has included designing agent workflows, repository/context retrieval, implementing fixes, running tests, analyzing failures and producing validated patches rather than simply generating isolated code. I can provide 1–3 relevant repository-level samples, including GitHub/patch/demo links where available, privately. I understand you specifically want proof of this type of engineering—not generic AI or web-development portfolios. I’m comfortable working against benchmark-style tasks and existing repositories where correctness, tests and regression safety are the acceptance criteria. Let’s connect and I can share the most relevant samples first. THANKS CHRISTINA

@maxscender

I approach NL2Repo as an engineering problem: bridging natural language intent with precise, minimal code changes. My focus is on building robust pipelines that parse requirements, map them to the correct files and functions within an existing codebase, and generate patches that integrate cleanly with the project's existing architecture. I prioritize implementing changes that are correct and maintainable, using the repository's own patterns to ensure consistency. The core of my process is iterative validation—running targeted tests and debugging failures to ensure the generated code not only compiles but also fulfills the functional requirements without breaking existing behavior.

@extreamcode

Hi there, You’re not just looking for a coder , you need someone who can read intent, trace it through a repository, and turn it into a reliable patch without breaking the surrounding code. That’s exactly the kind of workflow I work with: translating natural-language requirements into implementation, testing, debugging, and validation across existing codebases. I’ve worked on PHP, Python, Flask/FastAPI, JavaScript, and API-driven systems where the real challenge is understanding the repo structure, making clean changes, and proving they work with tests and verification. I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. I can also review your requested samples in the format you want: role, repo/demo/patch, tools used, and what I built. Hi! For NL2Repo tasks, do you want samples that include full patch links and test evidence, or are demo repos acceptable too? If helpful, I can start by reviewing one representative repo task and outline how I’d approach implementation plus validation. Thanks, Asad

@denisSolution

Hi, I'm Denis, a full-stack developer with experience building AI-driven systems that automate code repository changes and handle complex workflows. I understand you need someone to work on NL2Repo—translating natural language requirements into actual code changes, including implementation, testing, and validation. This requires balancing AI instruction interpretation with practical engineering to ensure reliable, real-world codebase modifications. I've built similar systems involving automated code generation, requirement parsing, git workflows, and change validation through testing. The key challenge is maintaining accuracy in code generation while handling edge cases and ensuring code quality. My approach starts with understanding your current pipeline—requirement structure, target repositories, and success metrics. I'd then focus on core generation logic to produce valid, testable changes, followed by validation, error handling, and iteration based on real results. I'd prioritize keeping feedback loops tight. Repository-level changes need validation, and understanding failures is critical for continuous improvement. While I don't have public portfolio links to share here, I'm happy to discuss specific projects and technical approaches in detail. I can walk you through my experience with code generation, testing frameworks, and repository automation directly. I can start immediately. Let's connect and discuss the details. Thanks, Denis.

@carlosd178

Hello, After reviewing your requirements, I understand this is specifically repository-level AI/software engineering rather than general application development. The work requires translating natural-language tasks into precise code changes, then testing, debugging, and validating those changes against an existing codebase. I’m comfortable working with existing repositories, Git-based workflows, debugging, automated testing, and AI-assisted code generation. In my opinion, the key challenge with NL2Repo tasks is giving the coding agent enough repository context to identify the correct files and dependencies while preventing unnecessary changes. I would approach this with repository indexing/context retrieval, targeted patch generation, test execution, failure analysis, and iterative repair until validation passes. For relevant samples, I prefer to share only repository-level work that accurately reflects my role, technologies used, and implementation rather than unrelated web portfolios. A couple of quick questions: • Which languages/frameworks are most common in the target repositories? • Are tasks evaluated through SWE-bench-style test cases, your own hidden tests, or both? I’m available to start immediately and would be glad to discuss your evaluation workflow. Best regards, Carlos

@samarhabib

Greetings, I'm a full-stack developer with 10+ years of experience working with existing codebases, Git, debugging, APIs, AI/LLM integrations and backend systems. I’m interested in the repository-level engineering work, particularly translating natural-language requirements into controlled code changes, testing and validation. I’m comfortable working directly inside existing repositories, understanding unfamiliar architectures, tracing bugs across multiple modules, implementing changes, writing tests and validating that changes do not introduce regressions. ★ Repository-level implementation and debugging ★ Git-based development with clean, reviewable changes ★ AI/LLM API and agent integration experience ★ Backend and full-stack code modification ★ Automated testing, validation and regression checking ★ Ability to understand requirements and convert them into concrete code changes For the requested NL2Repo/SWE-bench/coding-agent samples, I prefer not to send unrelated portfolio work or claim experience I cannot verify. I can share relevant repository-level work, patches or code samples that accurately represent my role during the discussion. If you’re looking for someone who can work carefully within an existing codebase rather than only build greenfield applications, I’d be happy to discuss the evaluation process. Best regards, Samar H.

@kabirchy

Hi there, I understand you need an experienced AI/Software Engineer to work on NL2Repo and repository-level coding tasks. I specialize in translating natural-language requirements into code, ensuring the changes are seamlessly integrated into your existing repositories. My approach includes: - Implementing and testing the code changes - Debugging and validating the new functionalities - Utilizing Git for version control and collaboration With a strong background in AI development, machine learning, and natural language processing, I can deliver high-quality, efficient, and maintainable code. I'm ready to start immediately and ensure that your project is completed with the highest standards. Best Regards, Khorshed Alam, RS Software

@mcollinscalz

Hi there, Your project hits directly at the core of state-of-the-art software engineering automation. Translating natural language specifications into multi-file repository edits requires robust context retrieval, agentic execution loops, and automated feedback validation. Below are 3 targeted past projects showcasing relevant experience in NL2Repo, SWE-bench workflows, and autonomous coding agents. Relevant Project Samples 1. Autonomous Repository-Level Coding Agent (SWE-bench Pipeline) Role: Lead Engineer & AI Architect Tech Stack: Python, LangGraph, Tree-sitter, Docker, pytest, DeepSeek-V3/Claude 3.5 Sonnet What Was Built: Designed and built an agentic framework targeting repository-level issue resolution (similar to SWE-bench benchmarks). The system accepts a GitHub issue description, builds a semantic/AST code map using Tree-sitter to identify candidate files, and executes an iterative plan-edit-test loop inside an isolated Docker container until pytest passes cleanly without regression. I am ready to share full repository links and dive into architectural details once we connect!

@Eliteinno

This request focuses on repository-level engineering with NL2Repo and similar tools. The key is clearly demonstrating past work in translating natural language into precise code alterations. Given your established history, a succinct summary with direct links to relevant GitHub examples or demos will likely stand out. Highlight your role, particularly in any coding agents or automated code repair tasks. Which recent project best showcases your expertise in repository-level code generation or automated code repair?

@naminghn

Hi there, I'm excited about the opportunity to work on NL2Repo. To ensure I meet your needs effectively, could you specify which programming languages or repository types you're most focused on? My experience in translating natural language to code changes aligns closely with what you're looking for, including hands-on tasks with repository-level code generation and debugging. I look forward to discussing how I can contribute to your project. Your satisfaction is my priority and I guarantee that I will deliver you a high-quality result. Regards, Ali

@ssquare489

Your requirement for real repository-level engineering samples is reasonable, so I won’t pad this with unrelated AI demos or generic app work. I don’t currently have a public NL2Repo or SWE-bench project I can truthfully link. The closest relevant work I can stand behind is Restaurant POS Rescue, where my role was full-stack/technical lead on an existing production codebase rather than a greenfield build. Work involved understanding unfamiliar legacy flows, tracing POS/payment behavior, debugging database issues, working around Windows service dependencies, fixing production defects, and stabilizing the system without rewriting working modules. The core skill there was exactly repository-level reasoning: locating the right change surface, preserving existing behavior, validating side effects, and shipping contained fixes. Tech involved backend/database debugging, payment/POS integrations, legacy data handling, Windows services, Git-based code changes, and production validation. For NL2Repo-style work, my preferred workflow is requirement parsing → repository mapping → targeted implementation → tests → regression/debug pass → patch validation.

@lazarr4

Hello, I can build repository-level code changes from natural language instructions by treating the repo as a controlled workflow rather than a free-form chatbot. I’ve helped a SaaS client automate PR reviews using NL2Repo—reduced manual debugging time by 30% by generating structured fixes. I’d approach this using a two-step process: first, parse the requirements into a diff plan, then execute it with validation checks. This keeps the system reliable while avoiding over-engineering. The biggest win will be faster iteration cycles for the team. I provide two weeks of post-project bug fixes and improvements within the scope. If we’re aligned, I’d be happy to discuss how to structure the first iteration. Thanks, Lazar.

@melikatfz

Hi there, Navigating the complexities of transforming natural language into precise code modifications can be daunting, often leading to integration errors and inefficient code updates. With my expertise, I ensure seamless transitions from requirements to a robust, optimized repository, minimizing disruptions and maximizing performance. Here are my questions: Could you specify the programming languages predominantly used in your repositories? Also, are there any particular repositories or modules that require immediate attention? Drop me a message so we can get started right away!

@kanika6665

Hi, I’ve read your NL2Repo requirement carefully, and this is exactly the kind of repository-level AI engineering work I can help with confidently. I can work on translating natural-language requirements into codebase changes, then handle testing, debugging, and validation with a disciplined Git workflow. My broader full-stack and AI development background helps me approach AI Model Development with practical engineering rigor, especially where real repository context matters more than isolated code generation. I can review your repo flow, align implementation with the benchmark-style expectations you mentioned, and deliver clean, verifiable changes with clear technical notes. If you share the repository details and sample expectations, I can outline the first execution plan and timeline right away. Which benchmark matters more for your ideal candidate: SWE-bench style pass rates or production-ready patch reliability? Best regards, KANIKA

@jeanpatrickr8

Hello, I appreciate the opportunity to apply for your AI/Software Engineer position focused on NL2Repo and repository-level coding tasks. I understand you need someone capable of translating natural-language requirements into actionable code changes while ensuring robust testing and debugging. With extensive experience in software engineering, particularly in natural language processing and repository-level code generation, I have successfully implemented solutions that align closely with your needs. My expertise includes working with technologies such as Python, Git, and various AI frameworks that enhance code generation and repair processes. To achieve your project goals, my approach would include: - Collaborating closely to gather detailed requirements and clarify expectations. - Analyzing existing code repositories to identify areas for improvement and integration. - Implementing changes using NL2Repo while ensuring thorough testing and debugging. - Validating the final output against the original requirements to ensure accuracy and functionality. I am eager to leverage my skills in this project and am confident in delivering high-quality results within your timeline. I would be happy to discuss further details and can start immediately. Thank you for considering my proposal.