Enhance scripting agent to support playwright and Filter out any code or PII data

@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 Matlab, Python, and similar tools. 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

@koolvishruth

With over 7 years of experience, I am confident in my ability to enhance your scripting agent to support playwright, while effectively filtering out any code or PII data. I have a solid background in automation development with expertise in Python, which will be instrumental for creating new agents and scripts for k6, Selenium, LoadRunner, and playwright. Moreover, I am fully knowledgeable about creating detection logics and incorporating them with the existing system. Let’s connect

@Herculesz

Hi, this project to enhance an AI scripting agent with Playwright support and PII/code filtering aligns closely with my experience in AI-driven automation and code analysis. The real engineering risk lies in robust orchestration of script generation and sensitive data redaction to maintain security and accuracy without disrupting CI/CD pipelines. I usually structure such systems with clear separation between code scanning, data redaction, and script generation modules, ensuring modularity and ease of maintenance. I've built several production systems involving automated codebase feature detection and test script updates, notably in Custom Feature Development & Integration and Python Bug Localization projects. I approach LLM integration with layered evaluation logic and fallback routing to maintain reliability, especially when handling sensitive or partial data. These systems are designed for long-term production use with clear documentation and automated testing to ensure stability. I can outline the agent’s detection and redaction pipeline, map the script generation flow, and review integration points with AWS Bedrock runtime for your internal demo and production rollout. Thanks, Hercules

@heindrickd17

Hi! I hope this message finds you well. With a strong background in automation and scripting, I specialize in developing robust solutions using tools like Selenium, Playwright, and k6, which aligns perfectly with your project requirements. I have a couple of questions to clarify your needs: What specific complex flows are you targeting for the Playwright integration? Additionally, do you have any existing frameworks or libraries in place for code scanning and PII redaction? In a recent project, I developed an automation agent that monitored code repositories for changes and dynamically generated testing scripts across multiple frameworks. I implemented a rigorous filtering process to ensure sensitive data was not exposed in any automated workflows, which significantly improved the security and efficiency of the deployment pipeline. For your project, I can enhance your existing agent to monitor the codebase effectively and generate k6, LoadRunner, Selenium, and Playwright scripts. I will ensure the new agent includes robust detection logic, with clear documentation and a seamless local demo capability before transitioning to the AWS Bedrock environment. I would love to discuss your project further and see how I can contribute to its success. Please feel free to reach out, and we can chat! Best regards, Heindrick

@topcreator100

Hi there, I’ve read your goal to enhance the scripting agent with Playwright support and robust PII redaction, and I’m confident I can deliver a solid solution. I’ve worked on similar projects building agents that generate k6, Selenium, LoadRunner, and now Playwright scripts, while integrating data sanitization before LLM calls. I’ll implement a watchful codebase scanner that detects new features or updates, creates or updates scripts, and routes outputs through a PII redaction pipeline. I’m interested in the project, have several experiences with similar work, and will follow your instruction to keep the process auditable and production-ready. Next steps: I can start with a local demo and a staged PoC within 1-2 weeks, with a production deployment through GitHub CI/CD and AWS Bedrock runtime as described. Best regards,

@quan9824

I can help extend and harden your existing AI-driven test automation agent by adding Playwright support, improving complex journey-flow handling, and implementing a secure preprocessing layer that prevents source code and sensitive data from reaching the LLM. My approach would include: • Building a modular agent pipeline for: Codebase change detection Metadata extraction PII/secret/code redaction LLM orchestration Script generation/update workflows • Adding Playwright generation and maintenance support alongside: Selenium k6 LoadRunner • Improving complex user-flow understanding: Multi-step journeys Stateful interactions API/UI mixed flows Regression-aware updates • Implementing secure filtering before LLM calls: PII detection/redaction Secret scanning Sensitive-code abstraction/tokenization Allowlist/blocklist policies • Supporting: Local execution/demo mode GitHub-triggered production workflows CI/CD integration AWS Bedrock Agent Runtime deployment Deliverables: • Fully documented agent code • Detection/update demonstrations using sample PRs • README with one-command demo setup • Local + production deployment workflows • Walkthrough/support session via AnyDesk I have experience building AI-assisted automation systems, code-analysis workflows, LLM orchestration pipelines, and secure developer tooling focused on maintainability and enterprise-safe architecture.

@Muhammadzeesha59

Hello Sir/MAM I am a skilled full stack developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms . I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning ”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@GdevDataSceince

Hi there,I am pleased to present my proposal for your machine learning project, bringing a rigorous, data-driven approach and a commitment to delivering measurable impact. With expertise in Python, TensorFlow, and Scikit-learn, I design robust pipelines—from advanced data preprocessing and feature engineering to model architecture, training, and fine-tuning. I focus on interpretability, scalability, and performance optimization to ensure real-world applicability. My workflow emphasizes precision, continuous evaluation, and clear communication. I am dedicated to transforming complex data into intelligent, high-value solutions tailored to your objectives. https://www.freelancer.com/u/GdevDataSceince Let's discuss this further via chat, and I'll start your project right now. Thanks Gdev

@abdulhamidh2

Hey there! I’m excited about your project and believe my background aligns perfectly with your needs. I have extensive experience in developing AI agents, particularly in enhancing automation for testing frameworks like Selenium, k6, and LoadRunner. Adding Playwright to the mix is an exciting challenge that I’m ready to tackle. I can create a robust new agent that watches your codebase, detects updates or new features, and generates scripts across all required platforms while ensuring sensitive data is filtered out effectively. My approach will include building a detection logic that triggers script generation seamlessly from GitHub PRs. I'll ensure the code is well-commented for clarity and easy understanding. Additionally, I’ll prepare a concise README for setup instructions and create a one-command demo for internal use before we push to production via CI/CD pipelines on AWS Bedrock. I'm also ready to provide a walkthrough to ensure you’re comfortable with everything. With my skills in Python, machine learning, and natural language processing, I’m confident I can deliver this solution efficiently while working over 8 hours a day if necessary. Let’s discuss how we can get started on this project together!

@sf264

Hello, I will enhance the scripting agent to support playwright and Filter out any code or PII data from sending to LLM. I would love to discuss more details via chat. I am looking forward to working with you, Fahad.

@juanpablomacf

Hi — I’m Juan Pablo, senior AI engineer with deep experience building multi‑agent systems that generate test scripts, track code changes, and run securely inside AWS Bedrock runtimes. I’ve worked extensively with Selenium, k6, LoadRunner, and Playwright, and I’m used to designing agents that watch repositories, detect functional deltas, and update automation suites with minimal human intervention. I also specialize in PII‑safe pipelines, combining deterministic redaction rules with ML‑based detection to ensure no sensitive code or data ever reaches the LLM layer. My approach is to extend your current architecture with a new agent capable of monitoring the codebase, extracting metadata from diffs, and generating or updating k6, LoadRunner, Selenium, and Playwright scripts for new features or complex journey flows. Before any content reaches the LLM, a redaction stage removes secrets, credentials, PII patterns, and proprietary code fragments, ensuring compliance and safe prompt construction. The agent will run locally for internal demos and later integrate with GitHub and CI/CD to deploy into AWS Bedrock’s agent core runtime. The workflow will support simulated PRs, detect library upgrades, and update functional and performance scripts so pipelines pass consistently. I’ll deliver clean, well‑commented code, a one‑command demo, a concise README, and a full AnyDesk walkthrough. Strong background in AI agent design and secure redaction pipelines. Ready to start immediately.

@toriquldev123

Hello There! I can enhance your existing agent to support Playwright and make the whole pipeline more robust while ensuring strict PII/code filtering before any LLM call. My approach: • Add Playwright generation alongside Selenium, k6, and LoadRunner • Build a unified repo watcher to detect new features, fixes, and dependency changes • Introduce a redaction layer to remove PII, secrets, tokens, and sensitive code before sending anything to LLM • Extract only test-relevant metadata to keep LLM input clean and minimal • Generate or update scripts automatically for both functional and performance testing • Support local execution first (no GitHub push), then CI/CD integration for AWS Bedrock Agent Core runtime • Add safe commit workflow after human review Experience: • Playwright, Selenium, k6, LoadRunner automation • LLM-based test generation systems • AWS Bedrock + CI/CD pipelines • Secure data filtering and code sanitization layers Deliverables: • Full agent code with comments • PII/secret redaction module • Playwright integration • Local demo + production pipeline • README + one-command setup • Sample PR showing detection → update → passing pipelines Best regards, Md Toriqul Islam

@sufyanasmat38

With nearly a decade of professional software and AI development experience, my team and I are well-versed in building complex systems and the challenges that come with them. We have successfully navigated projects with similar complexities as yours, including integrations into CI/CD pipelines while maintaining local functionality for internal demonstrations. We are experienced in Python - a strong qualifier for this project. Specific to your needs, our Machine Learning expertise covers essential aspects such as NLP and image processing. We have built complex scenarios like chatbots, sentiment analysis models, text-to-image synthesis models and object detection pipelines for real-time recognition (among others). This entails we extensively understand handling sensitive data and can effectively implement your requested filter, safeguarding data privacy and security. Finally, our digital marketing proficiency can contribute to the broader scope of enhancing your GitHub repository through optimal SEO strategies, streamlining your LLM pipeline at every step. Throughout this project - from building the agent code to delivering impeccable documentation - I'm committed to making your end-to-end solution robust, secure, and harmonious through every phase of development to production.

@MZITSERVICES

Hi there, I am A.R.M. MASUD, with a strong Data Science background. As a Python developer, I have extensive experience building robust, scalable, and efficient solutions that address various business needs. I understand the importance of delivering high-quality, well-architected code, and I am committed to working closely with you to ensure the success of this project. I implement core functionality using Python, utilizing relevant libraries and frameworks such as Pandas, NumPy, GUI, SciPy, Matplotlib, Seaborn, Plotly, Scikit-learn, TensorFlow, Keras, PyTorch, spaCy, Flask, Django, FastAPI, OpenCV, and Jupyter. I am a professional responsible for extracting actionable insights and knowledge from large volumes of data through Machine Learning models, including CNNs, RNNs, LSTMs, GANs, Transformers, FNNs, ANNs, and DNNs. I conduct comprehensive unit, integration, and performance testing to ensure the solution is error-free and optimized. https://www.freelancer.com/u/MZITSERVICES I appreciate the opportunity to submit this proposal and am excited about the possibility of working with you to bring your project to life. Thanks A.R.M MASUD

@AlexVydrin

Hi, I can extend your existing agent to support Playwright and harden the whole pipeline around PII/code redaction. My approach: watch the repo (local first, then via GitHub/CICD), detect new features or library upgrades, run a code‑scanner + redaction layer, then send only metadata and safe snippets to the LLM to generate/update k6, LoadRunner, Selenium and Playwright scripts for complex journey flows. I’ve built LLM‑driven test generators and Bedrock‑based agents before, including secret/PII filters and staging‑branch validations. You’ll get well‑commented agent code, detection logic proven with sample PRs, a one‑command local demo, and a clear README. Happy to do a walkthrough via AnyDesk.

@RusianD

Hi there, My name is Ruslan and I am thrilled to offer my skills in AI agents and Python to enhance your project. With a strong background in developing agents that can identify code updates and new features, I am confident in my ability to create a new agent that can handle Playwright as well as other existing frameworks like k6, LoadRunner, and Selenium. My expertise in 3D Web, JavaScript Frameworks, and RESTful APIs will be an asset in delivering the robust solution you need. Furthermore, my experience with LLM, RAG, Chatbot, and similar AI integrations matches perfectly with your requirement of filtering out any code or PII data before sending it to LLM. I am well-versed in GitHub workflows and have navigated sensitive data management skillfully through these pipelines. Additionally, my strong documentation and communication skills will ensure a smooth setup process. Alongside providing concise hands-on READMEs for easy setup and demos, I'm committed to full transparency and would offer many opportunities for code walkthroughs and progress updates through Anydesk. With me on board, you'll not only receive a powerful script generation agent but also a reliable teammate dedicated to building amazing things together. Let's connect soon!

@kaantepeli

Hello. How I can help you? I have proficient about using AI agents. If we can discuss further details I belive the I can help you. Lets discuss further details on the chat. Thanks

@iimtpradeepdash

Hi! The way you need the agent to scan code, auto-update k6, Selenium, LoadRunner, and now Playwright scripts, while removing PII before LLM input, is the hard part. Most miss the PII filtering or mess up complex flows like journey steps. I built a related agent core for script generation and metadata extraction last year for a confidential AI platform (PackSmart AI, same code update tracking and multi-runner script workflow). I also worked directly with AWS Bedrock AI integrations. For your system, I'd hook in Playwright support so script creation and updates match what you already have—reusing working parts, not guessing. The tricky part is building a proper code/PII filter before the LLM, not just a regex; I'll demo this with real PRs and journey flows. Before starting, could you share if you already log flagged PII during PR scans, or should I design that from scratch? I can send a short outline showing how the filter and Playwright modules would wire up—free, no obligation. More samples of my automation and AI work are on work.techindika.com. — Pradeep

@krisk63

Hi, this is Kris from McKinney, Texas, I've reviewed your project requirements and understand that the key challenge is enhancing the scripting agent to support playwright and filtering out any code or PII data before sending it to LLM. My approach involves creating a new agent that monitors the codebase, generates k6, loadrunner, selenium, and playwright scripts for new functionality, and ensures the overall solution is robust enough to handle complex flows like journey flows. A few additional questions: Q1: Are there specific security requirements that the new agent needs to adhere to when filtering out code or PII data? Q2: What is the expected timeframe for completing the development and testing of the new agent? Q3: Do you have a preference for the tools or technologies to be used in the development process? Best regards, Kris Kramer