Python Scripting Agent Development

@ZohaibRoy

⭐⭐⭐⭐⭐ Create an AI Agent for Automated Script Updates in Python ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project needs and see you're looking for an AI agent to enhance your script automation. Look no further; Zohaib is here to help! My team has completed over 50 similar projects in automation and scripting. I will create an agent that detects code changes, updates existing scripts, and generates new ones, ensuring smooth CI operations. ➡️ Why Me? I have 5 years of experience in Python automation, focusing on script generation and updates. My skills include working with Selenium, Playwright, k6, and LoadRunner. I also have a strong grip on CI/CD pipelines and AWS services, ensuring a robust and efficient solution for your needs. ➡️ Let's have a quick chat to discuss your project in detail. I can provide samples of my previous work and show how I can meet your requirements effectively. Looking forward to our conversation! ➡️ Skills & Experience: ✅ Python Programming ✅ Selenium Automation ✅ Playwright Scripting ✅ k6 Load Testing ✅ LoadRunner Scripting ✅ CI/CD Integration ✅ AWS Bedrock ✅ Code Scanning ✅ PII Redaction ✅ Metadata Extraction ✅ Performance Testing ✅ Script Debugging Waiting for your response! Best Regards, Zohaib

@Softeria

As an AI veteran with over a decade in the field, I have honed not only my Python scripting abilities but also an intuitive understanding of the needs unique to AI projects. From piloting agentic AI automation workflows to incorporating RAG systems for retrieval-augmented generation and more, I specialize in creating efficient, powerful solutions that optimize existing processes. For your Python Scripting Agent Development project, I can bring this expertise to bear. Your project's focus on automating script generation and performance testing resonates strongly with my professional experience. During my career, I've integrated AI into CI/CD pipelines, utilizing hooks and smart agents to detect and respond automatically to code changes. This closely aligns with your objective of enhancing GitHub-based workflow coordination with smarter inputs from the Agent.

@ShaikhAneesa

Hello, I have thoroughly reviewed the project requirements for developing a Python Scripting Agent that automatically updates existing automation and performance test scripts based on code changes and new feature additions. I understand the need to close the gap in identifying updates and creating new scripts for existing selenium, playwright, loadrunner, and k6 scripts. Let's chat and discuss it further. To handle your project, I will start with developing a Python-based agent that integrates with the existing pipeline to monitor codebase changes, generate or patch automation and performance test scripts, and ensure seamless CI runs without manual intervention. My approach involves utilizing GitHub webhooks, metadata extraction, and smart input from the agent to update scripts for complex flows efficiently. The deliverables will include a new agent code with clear comments, detection logic covering specified scenarios, local demo setup, comprehensive README, and code walkthrough via AnyDesk. Before signing-off my bid, I would like to ask a question, i.e., how frequently do code updates occur in your current development cycle? Best Regards, Aneesa.

@koolvishruth

Hello, I am Python Engineer with 8 years of experience and I can build and deliver as mentioned as expected.I have worked with more than 121+ clients here . Let’s connect to know more

@Herculesz

Hello, your project to enhance an AI agent for automated test script generation and update across multiple frameworks is a technically demanding challenge involving precise code change detection and robust orchestration. The real engineering risk lies in reliable change detection and seamless integration with existing CI pipelines to ensure zero manual intervention while maintaining test accuracy. I usually structure such systems by separating code scanning, metadata extraction, and script generation into modular components to isolate complexity and enable maintainability. My work on the DocIntel AI platform involved similar LLM orchestration and automation pipelines with Playwright and FastAPI, supporting scalable, production-grade systems. For detection logic, I recommend implementing confidence thresholds and fallback mechanisms to handle ambiguous code changes, ensuring the agent errs on the side of caution and supports human review before committing updates. Systems like these must be designed for long-term production use with clear logging, monitoring, and modular upgrades to adapt to evolving codebases and testing frameworks. I can start by outlining the retrieval and scanning pipeline, mapping the agent’s flow for script generation and update, and reviewing the chunking and metadata extraction strategies to optimize detection accuracy. Hercules

@shadabkhan92

With extensive expertise in building robust AI infrastructures, we're equipped to meet your specific needs for the Python Scripting Agent Development project. Our experience extends beyond prototypes; we have created production-ready systems that integrate seamlessly within existing workflows, making autonomous decisions. Considering your stack incorporates Odoo ERP, IoT hardware, and other components, our knowledge in deploying across the full web and mobile stack will prove invaluable. We can even extend our services to include PCB design, ESP32/STM32 firmware, and MQTT-connected sensor networks when needed. Our proficiency in Python aligns perfectly with your requirements to develop an agent that automatically adjusts automation and performance test scripts based on codebase changes. We've worked with similar CI/CD pipelines based on CircleCI and AWS deployment, giving us an advantage in designing a smarter agent that integrates effortlessly with your existing systems. Furthermore, our ability to handle vast amounts of data transversely while ensuring data safety and privacy makes us an ideal partner for your project.

@Feriver

Hello, I’ve reviewed your existing Python-based AI agent that triggers k6/load tests from GitHub events, and I understand the key missing capability is intelligent detection of code changes that represent new features or updated logic, so your Selenium, Playwright, k6, and LoadRunner scripts can be automatically updated or generated to keep CI consistently green. I will extend your current system with a Python-only change intelligence layer that analyzes GitHub diffs, classifies commits into feature additions, refactors, or dependency updates, and maps those changes to impacted test assets across your ~2000 Selenium/Playwright and 100+ performance scripts. The agent will include a secure preprocessing stage for PII/secret redaction, followed by metadata extraction and LLM-based reasoning to decide whether to patch existing scripts or generate new ones, including support for complex user journey flows. Playwright support will be fully integrated alongside your current Selenium and k6/LoadRunner pipelines. The solution will run locally for internal demo mode without GitHub commits, and then integrate into your CircleCI + AWS Bedrock Agent Core Runtime pipeline for production. I will ensure clear modular Python code, documented logic, sample PR simulations (feature change + dependency upgrade), and a README with one-command execution. The final output will demonstrate automatic detection, script updates, and successful CI runs without manual intervention. Thanks, Asif

@Muhammadzeesha59

As an experienced developer with more than a decade in the field, I'm well-versed in the broad spectrum of languages and technologies that are essential for the successful completion of your project. Python, being a particular specialization of mine as evident from my work with MT4 and MT5 platforms, makes me the perfect fit to develop an intelligent agent capable of handling your massive codebase. Additionally I'm fairly equipped to handle sophisticated flows like journey flows given my familiarity with k6 and loadrunner scripts - which you'll have 100% assurance will be effectively transitioned onto playwright scripts without compromise on quality.I've worked extensively with Python and similar tools on AWS bedrock agent core runtime, so productionizing the solution on GitHub's CICD pipeline is something I can manage flawlessly. My dedication to providing only top-notch solutions makes me the ideal candidate for this job. I guarantee that my code will be clean, well-commented, and locally runnable should you desire local demonstrations before production. Furthermore, I will provide a concise README document elucidating setup procedures as well as an efficient one-command demo. Onboard me for the task and let us lay a strong foundation for service excellence!

@Aaleen110

Hi! I noticed you're automating performance benchmarks into your CI/CD flow using a Python-based AI agent and k6. I recently implemented a similar "Load-Test-as-Code" pipeline where GitHub webhooks triggered containerized k6 instances, providing real-time feedback on latency regressions before code reached staging. My experience with Python-driven automation and k6 metrics ensures I can bridge your agent's logic with your infrastructure seamlessly while maintaining high execution reliability. I will refine the Python agent’s event listener using FastAPI to process GitHub push payloads, ensuring immediate execution of the test suite without blocking the agent. The script will dynamically inject environment variables into your k6 configurations based on commit metadata, allowing for targeted load thresholds and specific environment parameters. Furthermore, I'll implement a robust logging layer to capture k6 JSON outputs and exit codes, formatting this telemetry data so your AI agent can autonomously identify performance regressions or resource bottlenecks with precision. To ensure isolation, I can wrap the execution in transient Docker containers, providing a clean, reproducible environment for every performance run. Are you looking to post k6 summaries back to GitHub PRs as comments, or should results be stored in a database for long-term AI trend analysis? Do your k6 scripts require dynamic scaling of virtual users based on the services modified in the commit? I’m ready to dive into your current agent logic and streamline this automation—let’s have a quick chat to align on the integration specifics.

@mohjib092

Hello, I can help enhance your existing AI agent to intelligently detect code and feature changes, then automatically update or generate Selenium, Playwright, k6, and LoadRunner scripts with full Python-based integration for local demos, CI/CD, and AWS Bedrock deployment. I am python hub, i able to sort this before today end with the documentation , Please come to the chat box so we can easily discuss in details, Best Regards,

@SmartCodeDev

Hello, I can extend your existing AI-driven testing framework by building a Python-based agent that intelligently detects codebase changes, identifies new features or flow updates, and automatically updates or generates Selenium, Playwright, k6, and LoadRunner scripts. I will design the agent to analyze repository diffs, extract metadata safely through PII and secret filtering layers, and generate or patch test scripts while preserving compatibility with your current CircleCI and AWS Bedrock workflow. The solution will support complex journey-based flows, reuse your large existing script inventory, and intelligently map feature changes to relevant automation and performance scenarios. I will also add Playwright support alongside stronger change-detection logic for framework upgrades, API changes, UI flow modifications, and feature additions. The delivery will include fully documented agent code, local demo execution, staging PR validation scenarios, and a walkthrough session to explain architecture and operational flow.

@mobiwebsolutions

✋ Hi There!!! ✋ The Goal of the project:- DEVELOP A PYTHON AGENT TO AUTOMATICALLY UPDATE OR GENERATE SELENIUM, PLAYWRIGHT, K6, AND LOADRUNNER SCRIPTS FOR NEW CODE AND FEATURES I have carefully read and understood your project description and can build a robust agent that monitors the codebase, detects changes, and updates or generates functional and performance test scripts automatically. I am the best fit for this project because I have deep experience with Python automation, AI agents, and CI/CD integration. Three points matching your requirements: implement detection logic for new features and code updates, support Selenium, Playwright, K6, and LoadRunner scripts, integrate with CircleCI and AWS Bedrock for smooth pipeline execution. I provide UI design, database management, testing, and full source code delivery, plus essential automation agent development. I have 9+ years experience as a full stack developer and have completed similar Python-based AI agent projects for automated test generation. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@riogushiken1114

Hi there, ❤️❤️❤️ I’ve reviewed your Python Scripting Agent Development project and it aligns strongly with my experience in Python AI agents, test automation, CI/CD, and LLM-based code analysis. I can help build a robust agent that watches codebase changes, redacts PII/secrets, detects new features or updates, and patches or generates k6, LoadRunner, Selenium, and Playwright scripts automatically. How I can help: • Implement Python-only detection logic for code updates, library upgrades, and feature additions, with local demo support before GitHub/CircleCI production flow. • Extend the existing Bedrock Agent Core Runtime solution with Playwright support and stronger handling for complex journey flows. • Integrate metadata extraction, safe LLM prompting, script generation/patching, human review output, and staging PR validation. Relevant experience: I’ve worked on AI agents, Selenium/Playwright automation, performance testing workflows, GitHub webhook-based automation, and AWS-based LLM integrations, and I can start working immediately. Approach: I’ll deliver clear commented code, sample PR demonstrations, README with one-command demo, and support the Anydesk walkthrough. Best regards,

@kend27

Hi I’m excited about the opportunity to help you close the gap in your AI agent system for automatic test script generation and updates. Based on your project requirements, I will create a Python-based agent that intelligently detects code changes and updates or generates new k6, Selenium, Playwright, and LoadRunner scripts. This agent will seamlessly integrate with your existing CI/CD pipeline on CircleCI and AWS Bedrock to ensure automated, green test runs without manual intervention. I am confident that my experience with Python, CI/CD systems, automated testing, and performance testing makes me a great fit for this project. Let me know if you’d like to proceed or need further clarification! Best regards, Ken

@ykarora26

With expertise in AI-driven testing and script automation, I understand the need to enhance your existing agent to handle code updates and new features across multiple script types. Leveraging my experience in Python script development and test automation, I can help bridge these critical gaps efficiently. How do you envision managing script versioning and ensuring seamless integration with the existing AWS deployment? Regards, Yogesh Kumar

@AhmadXpert2410

Hi there, Your current system already handles script generation, but the real challenge is intelligent change awareness—understanding when a codebase modification represents a feature addition, dependency shift, flow update, or journey-level behavioral change, then automatically updating the relevant Selenium, Playwright, k6, and LoadRunner assets without breaking CI pipelines. I understand you need an agent that can reason across an existing library of 2000+ automation scripts and continuously adapt them instead of only generating isolated test cases. I can help extend this architecture using a Python-based agent pipeline that combines repository diff analysis, metadata extraction, semantic change detection, PII/secret filtering, and LLM-assisted script transformation workflows. The focus would be on mapping source-code changes to impacted test assets, supporting complex multi-step journey flows, and generating reliable patches for existing scripts rather than replacing them blindly. What makes this project particularly important is reliability under real engineering workflows, so the implementation would prioritize deterministic validation, human-review checkpoints, rollback-safe updates, and measurable acceptance scenarios against your staging branch. I can also provide the required walkthrough, documentation, PR-based demonstrations, and a one-command local demo setup so your team can confidently evaluate the agent before production rollout. Regards, Ahmad

@goranm16

Hi, This matches the kind of AI automation work I focus on. The real challenge here isn’t just generating scripts — it’s reliably understanding what changed in the repo, mapping that change to existing Selenium/Playwright/k6/LoadRunner coverage, and only patching what’s actually affected. I’d start by building a Python change-scanner that compares PR diffs against routes, components, API calls, selectors, and user journeys, then feeds clean metadata into the Bedrock agent after PII/secret redaction. The main risk is the agent creating noisy or broken test updates, so I’d keep a human-review step, strict output schemas, script validation, and local one-command demo runs before CI commits anything. A similar pattern I’ve used is taking messy repo/doc inputs, extracting only the useful change signals, then generating safe automation outputs instead of letting the LLM guess freely. I can help make this robust enough for your staging PR acceptance flow. Thanks!

@johnallenvillan1

Hello, I see you already have an AI agent triggering k6 tests from GitHub events but it still fails to interpret code updates or new feature additions across your large suite of Selenium, Playwright, LoadRunner and k6 scripts. I’ve built similar multi‑framework automation agents that delivered full CI autorepair, detecting deltas, patching functional tests, and regenerating performance scripts without manual edits. I’ve also delivered a Bedrock‑hosted agent that handled 1,500+ Selenium flows and maintained script parity during weekly feature releases. The real challenge here isn’t script generation, it’s reliably mapping code diffs to affected journeys and updating existing test flows instead of over‑generating. Most junior systems break here, especially with mixed stacks like Selenium + Playwright + k6 + LoadRunner. I’ll implement a Python‑only agent that watches your repo, extracts metadata, applies PII filtering, and regenerates or patches scripts based on the change signatures. I’ll align it with your CircleCI pipeline and ensure it runs locally for internal demos before enabling Bedrock deployment. Before I begin, I need clarity on your preferred diff‑granularity and how journeys are currently structured. Thanks, John allen.

@AlexVydrin

Hey there! I see you're dealing with a classic automation challenge—keeping your test scripts up-to-date with code changes. That's a common pain point, especially when you've got such a massive suite of tests like yours. This can lead to gaps in coverage and increased manual work. Here's how I can help: I'll build an intelligent Python-based agent that seamlessly integrates into your existing workflow. By leveraging advanced detection logic, it will spot any changes in your codebase and automatically update or generate k6, LoadRunner, Selenium, and Playwright scripts as needed. This means fewer missed updates and less manual tweaking for your team. The impact? You'll improve test coverage accuracy, boost pipeline efficiency, and significantly reduce downtime caused by manual script updates. Plus, the solution is scalable enough to handle complex journey flows as your project grows. I'll ensure the implementation fits neatly into your CircleCI setup and AWS Bedrock runtime, maintaining robust CI/CD processes. After launch, I'll provide ongoing support to fine-tune the system as you expand. Let's make testing smarter together—ready to jump on a quick call to discuss this further?