Project Title AI Autonomous Development Loop System (Claude Code / Playwright / Git / LLM Automation) Project Overview We are looking for a developer to build an AI-powered autonomous development loop system. The goal is to create an environment where A

@avinashdubeyg209

Hi there, I am an ML engineer. I can start right away and deliver within the deadline. So, Let’s have a quick conversation. I can be more specific once we get all the requirements and information required to execute the project. Thank you!!

@maxscender

i can help you. The primary risk in an autonomous loop is a "regression spiral," where the LLM fixes a syntax error but introduces a logical flaw that creates an infinite loop of commits. I will solve this by implementing a containerized execution environment (Docker) to ensure Playwright tests run in a clean state, preventing state contamination between iterations. I will also build a "Context Pruning" layer to ensure the LLM only receives relevant code snippets and the most recent execution logs, preventing the hallucination and token bloat that occurs when sending entire git histories. This ensures the system converges on a solution rather than oscillating between different errors.

@anirudhat

Building an autonomous detect-fix-test-backup loop is exactly the kind of AI engineering pipeline I specialize in — I've built similar closed-loop systems using Claude API and GPT for code analysis, Playwright for headless test execution, and Git for automated version control. My approach would be to architect a Python-based orchestration engine that reads JSON task definitions, sends targeted prompts to the LLM for code analysis and patch generation, runs Playwright test suites to validate fixes, and auto-commits passing changes with structured logging at every stage. I have deep hands-on experience with LangChain, the Anthropic SDK, and CI/CD automation, so I can wire up the full continuous loop — including n8n integration if needed. I'm available to start immediately and confident this falls well within your estimated timeline.

@Fahadghouri7

hello, i'm fahad ghouri I can build this AI autonomous development loop system in Python with a clean modular structure so it can analyze issues, generate fixes with Claude/GPT, run Playwright tests, create Git backups, and continue the loop with proper logging and task history. This fits well with my experience in LLM integration, agentic automation, AI workflows, and backend tooling, especially for systems that combine model reasoning with real execution and validation. My approach would be to design the loop as a controlled engine: read JSON task instructions, inspect code context, send structured prompts to the LLM, apply changes safely, run Playwright-based checks, log outcomes, then commit working states to Git automatically. I can also add retry logic, failure rollback, and execution tracking so the system is usable beyond a rough prototype. I’m comfortable with Python, OpenAI/Claude APIs, Playwright, Git automation, and optional agent frameworks if needed, but I’d keep Version 1 lightweight and reliable rather than overcomplicated. For this scope, I can deliver a working first version quickly within your expected timeline.

@arslanshahid386

Hi there, I see you're looking to create an AI-powered autonomous development loop system that can analyze code issues, fix them, and run tests without needing constant human input. This sounds like an exciting project! With my 4+ years of experience in Python and automation, I can help build that loop engine, integrating LLM models like Claude or GPT for intelligent code analysis and fixes. I’m also comfortable using Playwright for testing and Git for version control, ensuring everything runs smoothly. One thing I’m curious about is how you envision the interaction between the automated testing and the code fixes. Would you like the system to prioritize certain types of issues over others? Best regards, Arslan Shahid

@einnovention

Having successfully completed over 248 projects, including similar ones, I am confident that my team at Einnovention is the perfect fit for your AI-driven development automation environment needs. With a keen understanding of Python programming and a reputation for delivering high-quality, scalable, and innovative solutions, we can set up a Docker-based environment that runs consistently across different platforms. Our expertise in Docker technology ensures that we can provide you with a reproducible development environment that can be easily replicated on other computers using Docker, as per your requirements. Moreover, we'll prepare the system to run reliably on a VPS or cloud server, ensuring uninterrupted performance crucial for your 24/7 expectation. In addition to our proficiency in the technical aspects of this project, we are committed to delivering beyond coding prowess. Our client-centric approach involves transparent communication, clear milestones, and reliable delivery - enabling long-term trustful relationships with our clients. Choose us and let's build something great together - turning your AI dream into reality as per your timeline and budget.

@NEHABHAT92

As a web and mobile app development company, we've had an extensive background in setting up complex development environments. Not only have we created foundational environments for some of the biggest ecommerce and CMS websites, but we also have a deep understanding of Docker and cloud-based systems. This provides us with the unique ability to create an multi-platform, highly available autonomous development loop system as specified in your project. Furthermore, our expertise goes beyond simply delivering functional systems. We believe in empowering our clients through comprehensive documentation. As such, we'll provide clear step-by-step installation instructions and environment setup guidelines to ensure seamless replication on any other computer or VPS hosting. Finally, affordability plays a crucial role in any project decision making. We offer competitive rates without compromising on quality to ensure you get the best value for your investment. Additionally, our post-delivery support includes a complimentary 3-month assistance guaranteeing a completely satisfying experience throughout the entire development process. With these offerings, I'm confident that choosing us will be the right choice for your AI-powered automation environment project.

@jonhw5

Hello, thanks for posting this project. I am confident in my ability to design and develop an AI-powered autonomous development loop system using Python, Claude/OpenAI integrations, Playwright, and Git workflows. I will architect a looping execution engine that analyzes code, generates fixes, runs automated Playwright tests, commits changes, and archives backups via a JSON-driven task executor. My approach emphasizes robust LLM integration (Claude or GPT), reliable test harnesses, modular Git-backed versioning, and clear logging for traceability. The project’s iterative loop (detect issue → fix → test → backup → repeat) will be implemented with extensible components and clean error handling to minimize human intervention. I estimate delivering a working prototype within the 2-5 day window, with emphasis on maintainability and observability. What are your preferred criteria for evaluating automatic code fixes (e.g., stability, performance, or test coverage) and should the system prioritize any constraints during the loop? Looking forward to hearing from you. Best regards,

@sadam61

Hi there, I’m excited about the opportunity to build the AI-powered autonomous development loop system you've described! With over 9 years of experience in Python automation and expertise in LLM integration, I am confident in my ability to develop a robust solution that meets your requirements. I've successfully completed similar projects involving AI-driven workflows and automated testing, ensuring seamless version control and backup with Git. I can start immediately and will ensure that the continuous loop for code analysis, fixing, testing, and backup works effectively. Expect a fully functional system aligned with your specifications within 5 days. Best regards, Sadam

@HabibDataLabs

I am a Python developer highly experienced in building robust, containerized AI environments. I can deliver a reliable, 24/7 Docker-based setup that runs identically across your local PCs and cloud VPS. Here is the required information for my application: 1. Experience with similar projects I recently built and deployed a fully automated, AI-driven pipeline for Zoho CRM. I developed a FastAPI application hosted on a Hostinger VPS that processes customer-uploaded forms. The system performs OCR on the documents and feeds the raw text to OpenAI for intelligent parsing. The structured data is then automatically mapped and populated into the correct Zoho modules. I managed this entire deployment using a strict, reproducible environment via Docker and Git, ensuring seamless replication and 24/7 execution—exactly what is required for your automation cluster. 2. Estimated development timeline 7 to 10 days. This covers developing the core automation logic, fully containerizing the environment with Docker, testing the deployment on a VPS, and writing the comprehensive installation and execution guide. 3. Total development cost 100 USD I prioritize clean architecture and clear documentation so your team can easily clone the repository and spin up the environment anywhere. I am ready to begin immediately. Best regards,

@tanithk

Hey — saw your post about building an AI autonomous development loop with Claude Code, Playwright, Git, and LLM automation. The tricky part with these systems is keeping the loop stable so the AI doesn’t get stuck, overwrite good work, or break tests with each iteration. Quick question before I suggest an approach: Do you already have a target tech stack/repo structure in place, or are we starting from a blank Git repo? I’ve worked on LLM-driven automation flows before (tool-calling, test-running, and Git commit pipelines), so I’m familiar with how to wire everything together without it turning into chaos. If you can share your current repo, a short spec, or any architecture notes, I’ll review and come back with a concrete plan for how this loop should work end-to-end.

@mahads31

Hi, Could you clarify your preferred LLM models for this automation loop? It sounds like a fantastic project with significant potential! I can help you build an AI-powered development loop that analyzes code, generates fixes, conducts tests, and manages backups seamlessly. With over 5 years of experience in Python and deeply familiar with integrating LLM APIs, including Claude and GPT, I am confident in creating this system. Playwright is also within my wheelhouse, ensuring effective automated testing. I would be excited to deliver this in around 2–5 days. Please share your GitHub or portfolio requirements, and we can discuss the specifics further. Best Regards, Mahad Sheikh

@jovand30

Hello, I can build the **AI-based development automation cluster** you described. I have experience creating **Docker-based development environments, Python automation systems, and Git-driven workflows** designed to run reliably on both local machines and VPS/cloud servers. **1. Similar Project Experience** • Built Dockerized development environments for CI/CD pipelines and automated build systems. • Developed Python automation tools integrating APIs (OpenAI, GitHub, web services) for code analysis and workflow automation. • Designed containerized environments that run identically on **local PCs, VPS, and cloud infrastructure**, with reproducible setup via Docker Compose. • Implemented systems designed for **24/7 operation with logging, monitoring, and restart policies**. **2. Estimated Development Timeline** Approximately **7–10 days**, including: • Docker environment and container orchestration setup • Python automation service and API integration layer • Git-based workflow integration • Documentation and deployment guide **3. Total Development Cost** **$900 USD** for full implementation, testing, and documentation. **Deliverables will include:** • Fully configured **Docker runtime environment** • System that runs identically on other PCs or VPS • **Step-by-step installation and execution documentation** I will ensure the system is **portable, stable, and easy to replicate** across environments. Best regards. Jovan D.

@usamaansari786

Hi there, I can build your AI-based development automation environment by creating a Docker-powered setup that runs identically on any PC or VPS, ensuring reproducibility and 24/7 operation on cloud servers. The system will include AI-assisted automation scripts in Python, Git-based code management, and API integrations to streamline development workflows. I’ll provide a fully documented installation and execution guide so your team can deploy and run the environment reliably across multiple machines. Q) Do you want the AI automation layer to handle general development tasks (e.g., code scaffolding, testing, deployment), or should it focus on specific workflows for your current projects? Best Regards, Usama H

@AdilCodes

With years of experience in web and app development, particularly with a deep understanding of Node.js and Python, I am your one-stop solution to creating the AI-powered autonomous development loop system you envision. My professional experience includes crafting Docker-based environments, executing automation via Python, and working with Git to ensure a streamlined code management. I guarantee a system architecture that not only works seamlessly for you but also can be replicated on other PCs or VPS as per your requirement. Importantly, I have an eye for innovation and usability which is crucial given the ever-evolving tech landscape. I’m also well-versed with API integrations, another vital aspect of your project. My portfolio showcases my talent in crafting SEO-optimized projects that are both visually appealing, functional and most importantly - scalable - just what you need for a 24/7 running system on the cloud or VPS. In terms of timeline and cost, I value transparency. You can expect meticulous planning from me that will ensure an efficient execution in optimal time without compromising on quality.

@ravikumarsingh1

I can build a Docker-based AI development automation environment that runs consistently across PCs and VPS servers and supports 24/7 cloud operation. 1. Relevant Experience I have experience building containerized development environments using Docker, including Python-based automation systems, API integrations, and Git-driven workflows. I’ve deployed reproducible environments that run identically across local machines and VPS infrastructure, ensuring consistent builds, automation tasks, and continuous development processes. 2. Estimated Development Timeline Approximately 7–10 days to design the architecture, configure the Docker runtime environment, implement the automation components, and prepare documentation. 3. Total Development Cost Estimated : depending on the complexity of the automation layer and deployment requirements. Deliverables will include the Dockerized runtime environment, replication-ready setup for other PCs/VPS, and clear installation and execution documentation.

@presleyn6

As a seasoned AI automation developer and expert in Python, I possess the necessary skills to take your project from conception to completion. Having explored Playwright for a significant amount of time, I can comfortably deliver an automated testing framework specifically tailored for your needs. Additionally, my extensive experience with Git and GitHub makes me the perfect candidate for constructing a robust version control system that includes seamless backup processes. Drawing from my past engagements with LLM Integration, including projects like LangChain and CrewAI, I have demonstrated my ability to effectively integrate LLM models into complex systems. My developed skillfulness with AutoGen is pertinent to prompt generation and code auto-fixing components of this project. My commitment to DevOps automation aligns perfectly with your expectation of an autonomous development loop system that requires minimal human intervention. I look forward to bringing all these coherent skills into play in executing tasks from JSON instructions, implementing a logging and monitoring scheme, building the automation loop engine and finally ensuring successful n8n integration where necessary. With me as your developer, you can be assured of producing a highly-intelligent and efficient system within the time frame you indicated

@peterj514

Hi there, I can build your AI-powered autonomous development loop system to analyze code issues, generate fixes, test automatically with Playwright, and back up with Git, without constant human intervention. I’ve spent the last 4 years solving exactly this type of automation, from orchestrating LLM-driven code analysis to end-to-end CI-like loops that heal and iterate on code paths in real time. What I’ll do: set up a loop engine in Python that ingests JSON task instructions, integrates Claude or OpenAI for code analysis and fixes, generates targeted prompts, runs Playwright-based tests, commits changes to Git with version tracking, and stores backups. I’ll implement robust logging and a clear execution history so you can audit each cycle. Optional n8n/Node.js hooks can orchestrate cross-service steps if you want a visual workflow. What you’ll get: a self-improving development loop that detects issues, applies fixes, validates results, backs up, and repeats, with modular components for LLM integration, testing, and Git automation. Best regards,

@luisc341

Hi Mate , Good afternoon! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in Software Architecture, Node.js, Moltbot, LLM Integration, Clawdbot, React.js, AI Development, Claude (Anthropic), LangChain and Python. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Thanks for giving opportunity