Create a Test Script generation agent via Copilot CLI and Amazon bedrock agent core runtime

@ZohaibRoy

⭐⭐⭐⭐⭐ Create an AI Agent for Automated Load Testing and Script Updates ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and noticed you're looking for an AI agent to enhance your load testing process. Look no further; Zohaib is here to assist you! My team has successfully completed 50+ similar projects for automation and testing. I will create a Python-based agent that watches your codebase and updates the scripts automatically when changes occur. This will ensure your CI runs smoothly without manual edits. ➡️ Why Me? I can easily build your AI agent as I have 5 years of experience in Python development, specializing in automation, performance testing, and CI/CD pipelines. My expertise includes scripting, integration with tools like k6 and LoadRunner, and creating efficient detection logic. I also have a strong grip on GitHub workflows and CI/CD processes, which will ensure smooth implementation for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I'm excited to collaborate with you! ➡️ Skills & Experience: ✅ Python Development ✅ Automation Scripting ✅ Performance Testing ✅ CI/CD Integration ✅ k6 Load Testing ✅ LoadRunner ✅ GitHub Workflows ✅ Selenium Automation ✅ Code Review ✅ Error Handling ✅ Documentation Creation ✅ Code Walkthroughs Waiting for your response! Best Regards, Zohaib

@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

@ShaikhAneesa

Hi there, I have carefully reviewed the project requirements and understand the need for creating a Test Script generation agent using Copilot CLI and Amazon bedrock agent core runtime to automatically adjust automation and performance test scripts based on code updates and new feature additions. Let's chat and discuss it further. To handle your project, I will start with developing a Python-based agent that monitors the codebase, detects changes, and generates/updates k6, loadrunner, and selenium scripts accordingly. The agent will integrate seamlessly with your existing CI/CD pipeline on CircleCI, ensuring smooth automation without manual intervention. The deliverables for this project include a well-commented agent code, detection logic implementation, a comprehensive README for setup, and a code walkthrough via AnyDesk. Before signing-off my bid, I would like to ask a question, i.e., how frequently does your codebase undergo updates? Warm Regards, Aneesa.

@Herculesz

Hi I have strong experience with Python automation agents, GitHub webhooks, CI/CD, CircleCI, k6, LoadRunner, Selenium, test generation, code-diff analysis, and automated script patching. The main technical problem here is that your current AI agent can trigger load tests, but it does not understand when code changes require new or updated performance and functional test scripts. I can build a Python-only agent that watches the codebase, analyzes diffs from local changes or GitHub PR/webhook events, and identifies library upgrades, API changes, and new feature additions. Based on the detected change, the agent can patch existing k6, LoadRunner, and Selenium scripts or generate new scripts using predefined templates and project-specific rules. I can also make the agent runnable locally first, so you can demo the detection and script update flow before connecting it fully to GitHub and CircleCI. For production, I can integrate it with your current webhook and pipeline flow so updated test scripts are committed or surfaced in the staging PR before CI runs. The final delivery will include commented Python code, sample PR scenarios, a one-command demo, README instructions, and a walkthrough so your team can maintain it confidently. Thanks, Hercules

@k1ng440

You're trying to close the gap between code changes landing and test scripts staying current. Your k6 pipeline gets triggered but has no way to know whether new code needs new scripts or updates to existing ones. I've architected systems handling 150+ external service integrations, and I know the exact failure mode you're describing. CI runs green on old coverage while new endpoints silently go untested. The fix is not better hooks, it's a detection layer that understands your codebase structure well enough to say this diff needs a new k6 test for the payments endpoint and a Selenium patch for the checkout flow. Here's how I'd build this. The agent runs in two modes. For local demo, it watches your codebase using watchdog and diffs against a local baseline no GitHub required, just file saves. For production, it reads webhook payloads from GitHub, parses the diff, and decides whether to regenerate or patch scripts before CircleCI runs your suite. The core logic parses changed files and maps them to test types. New REST endpoints get k6 scripts, UI changes get Selenium patches, performance-sensitive paths get LoadRunner scenarios. I'd use Claude via Bedrock as the generation engine, with guardrails that keep output deterministic and scoped. For the demo version, the agent writes scripts to a local folder and shows you what it would have submitted to CI. You can review and approve before any automated submission.

@riogushiken1114

Hi there, ❤️❤️❤️ I’ve reviewed your project and it aligns well with my experience in Python AI agents, GitHub/CircleCI automation, and test generation workflows. I can help you build a new agent that detects code updates or new features and automatically creates or patches k6, LoadRunner, and Selenium scripts so your CI pipeline stays green. How I can help: • Build a Python-only agent using Copilot CLI and Amazon Bedrock Agent Core runtime to watch codebase changes and infer testing impact. • Implement detection logic for library upgrades, new feature files, and functional changes, with local demo support before GitHub/CircleCI production flow. • Generate clear deliverables: commented code, sample PR demonstrations, concise README, one-command demo, and Anydesk walkthrough. Relevant experience: I’ve worked on AI-driven automation, CI/CD integrations, GitHub webhook-based workflows, and test script generation using Python, LLMs, and pipeline tooling. I can start working immediately. Approach: I’ll focus on reliable change analysis, safe script patching/regeneration, maintainable code, and clear validation against your staging PR acceptance scenario. Best regards,

@slavkom1

Hi, I see what you need: a Python agent that watches code changes and auto-updates k6, LoadRunner, and Selenium tests so your CircleCI pipeline stays green. I’ve built similar agents that parse diffs and generate test patches, so this fits well. I’d approach it by: - Watching the repo locally or through webhooks - Parsing diffs to detect new features and functional changes - Generating or updating scripts in k6, LoadRunner, and Selenium - Exposing a one‑command demo for your internal run - Preparing it to switch to GitHub + CI when ready I can start right away and have a working demo in a few days. Which part of the codebase changes should drive the test generation logic first: API layer diffs, UI layer diffs, or both? Greetings, Slavko

@AZTURK1

Hi there, I will build a Python Copilot CLI + Amazon Bedrock agent core runtime watcher that listens to local repo changes and GitHub webhook events and intelligently regenerates or patches k6, LoadRunner and Selenium scripts so CircleCI runs pass. - Deliverable: Python agent implementing file-diff and AST-aware change detection, plus automatic k6/LoadRunner/Selenium script generation and patching using template and semantic diff logic - Deliverable: Demo PRs and unit tests showing detection of library upgrades and new feature files with updated functional and performance scripts - Deliverable: Local-run mode + GitHub/CircleCI integration branch-ready and one-command demo in README - Risk/quality-control: staged deployment with backup checkpoint and post-fix validation to ensure minimal downtime Skills: ✅ Copilot CLI ✅ Amazon Bedrock agent core runtime ✅ k6, LoadRunner, Selenium script generation ✅ Python file-watcher, AST diffing, CI integration ✅ CircleCI pipeline automation and post-deploy validation Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I’m available to start immediately; Do you want the agent to prefer regenerating full scripts or to apply minimal patches to existing k6/LoadRunner/Selenium scripts when a small feature is added? Best regards,

@johnallenvillan1

Hello, I see your project focuses on closing the automation gap in your internal AI agent by detecting code updates and feature additions, then generating or patching k6, LoadRunner, and Selenium scripts automatically. Having built similar CI‑integrated agents that generated test suites on‑the‑fly for Python microservices, I previously delivered a system that detected API schema shifts and regenerated performance scripts, reducing manual intervention to zero. The real challenge here is reliably interpreting incremental code changes in a live repo and translating them into actionable test deltas without noisy false positives. A junior approach would rely on naive diffing; instead, I use AST‑level parsing combined with structured embeddings so the agent understands functional intent, not just changed lines. I will implement the agent fully in Python, integrate it with your existing CircleCI hooks, and build modular watchers that detect new functions, updated endpoints, and library upgrades. The agent will generate or patch k6, LoadRunner, and Selenium tests, plus provide a local‑run workflow and a GitHub/CICD version for production. Before finalizing, I need clarity on your repo layout, test directory structures, and how tightly coupled your current k6/loadrunner scripts are to specific endpoints. You’ll have a clean, dependable agent that keeps your pipelines green. Thanks, John allen.

@hr157

Hi, Your current webhook-triggered pipeline already solves “when to run tests.” The missing layer is intelligent change analysis + adaptive test generation/update logic. That’s the part I can help architect properly. With 10+ years of full-stack and automation experience, I’ve worked on AI-assisted development tooling, CI/CD workflows, code analysis systems, and automated orchestration pipelines. Proposed architecture (Python-first): - Repo watcher / diff analyzer - AST + semantic change detection - Feature classification engine - Existing script mapper - AI-assisted script generation/update layer - Validation layer before committing updates - CircleCI integration hooks What the agent will handle: - Detect new routes/features/components/APIs - Identify library/package upgrades - Update existing k6/LoadRunner/Selenium scripts - Generate new scripts where coverage doesn’t exist - Run locally for demo mode - Integrate with GitHub webhook + CI pipeline for production Key focus areas: - Safe patching instead of blind overwrite - Deterministic script generation patterns - Diff-aware updates - Validation/testing before pipeline execution - Extensible architecture for future tooling Deliverables: - Fully commented Python agent - Detection logic with sample PR demonstrations - Local execution workflow - GitHub/CircleCI integration flow - README + one-command demo - Walkthrough/support session Let's talk!

@extreamcode

Hello, I’ve read your need for a Python-only agent that watches a codebase and autonomously regenerates or patches k6, LoadRunner, and Selenium scripts for new features or updates, ensuring CircleCI-based pipelines stay green. I’m Asad, a full-stack developer with 15+ years of experience delivering AI-driven automation and test solutions. I’ll design a lightweight, configurable agent that detects code updates and feature additions, maps changes to test assets, and regenerates or patches tests across performance and functional layers. The agent will operate locally for internal demos, with a future path to integrate via GitHub CI/CD. Deliverables include well-commented agent code, robust detection logic demonstrated with sample PRs, a README with setup and a one-command demo, and a code walkthrough via AnyDesk. 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. The plan is to craft a precise mapping from diffs to test artefacts, minimize false positives, and provide safe rollback hooks. What are the exact formats and locations of your feature-flagged test hooks, and do you prefer a delta-only patch strategy or full-script regeneration for every change in the codebase? Best regards, Asad - I understand the hidden goal here: closing the gap between code evolution and test automation, so your pipelines stay green with minimal manual edits.

@joseteixeira06

Hi There , Good afternoon! I am skilled mobile coder with skills including AI Agents, Python, AI (Artificial Intelligence) HW/SW and Artificial Intelligence. Please send a message to discuss more about this project. Thank you for your attention

@johnedwardl

Hello! I am interested in your project and confident I can deliver excellent results. Let's discuss your requirements so I can start immediately.

@Vsion2

Welcome to professional Python development services! Hi there, I'm Alema, a Python expert programmer who strives for clear code in atmospheric, numerical weather prediction, physics, and all other seminal fields. I'm ready to provide you with high-quality services. I have completed 350+ projects with a 100% Positive Rating. If you are looking for Quality work, look no further. Also, we are a team of professional workers, and we are always available 24/7 to help employers without limitations, and delivery is guaranteed on time. Your faithfully. Eng. Alema Akter

@ayesha86664

Hi there! You are extending an AI-driven performance testing pipeline where the real challenge is not running k6 or LoadRunner, but intelligently detecting codebase changes and automatically evolving test coverage without breaking CI stability. I recently built a Python-based AI testing agent that monitored repository changes, classified feature vs. dependency updates, and dynamically regenerated k6 scenarios so CI pipelines stayed green without manual script edits. The key improvement was adding structured diff understanding instead of simple webhook triggers. I will design a Python-only agent that watches your codebase, detects meaningful changes like new features or dependency updates, and automatically updates or generates k6, LoadRunner, and Selenium scripts so your CircleCI pipeline remains stable and self-healing. Check our work: https://www.freelancer.com/u/ayesha86664 Do you want the change detection to rely purely on git diffs, or should it also include AST-level parsing for deeper feature understanding? I am ready to start — just say the word. Best Regards, Ayesha

@goranm16

Hi, this gap is really about change detection, not just running load tests. I’d build a Python agent that reads local diffs, maps changed routes/features/libraries to the existing k6, LoadRunner, and Selenium coverage, then patches or creates the smallest needed scripts before CircleCI runs. I’ve done similar automation where a backend API change kept breaking regression jobs because tests were outdated. The fix was a diff-aware generator with guardrails: detect changed endpoints, update only related test files, then validate locally before committing the result. I’d start with a local one-command demo against your staging scenarios, including the library upgrade and new feature file. The main risk is the agent making unsafe or noisy edits, so I’d add deterministic rules, file-level change previews, and validation runs before anything reaches CI. Happy to walk through the code on AnyDesk after the PR is ready. Thanks!

@CorranForce

Hello! Allen from Fort Worth here. I have reviewed your project details; Automating the process of updating performance and functional test scripts based on code changes appears to be an engaging challenge, ensuring the CI pipeline remains operational without manual intervention. A friendly Python agent will monitor the codebase for any changes. Whenever new code is introduced or existing code is updated, the agent automatically updates or generates k6, LoadRunner, and Selenium scripts to reflect the latest features or modifications. The new agent will be seamlessly integrated into your existing CircleCI pipeline, automatically updating test scripts with codebase changes. Q1. Which parts of the codebase should the agent watch most closely — for example, specific directories, file types, or feature modules — so it can accurately detect when new functionality or code updates appear? Q2. When the agent detects a change, should it mostly update existing k6/LoadRunner/Selenium scripts, or should it also create new scripts for new features to keep the CI pipeline green without manual edits? Q3. For the internal demo, do you want the agent to run locally against a sample project first, then connect to the GitHub‑CircleCI pipeline exactly as it is now, or are you open to a small change in the workflow to make the automation more reliable? I'm excited to hear from you soon! Best wishes.

@mahads31

As a dedicated web and software developer with a particular focus on Python, I believe my skillset is precisely what you need to close the critical gap your team is experiencing. I have a wealth of experience in transforming complex requirements into reliable and high-impact digital systems - a skill that will be invaluable in ensuring your CI runs smoothly, without the need for constant manual edits. Having worked across different industries, including the automation domain, I am familiar with the technologies you're currently using (CircleCI, k6, Loadrunner, Selenium) and can leverage my expertise to integrate them seamlessly into your codebase. In addition, I've had hands-on experience with Copilot CLI and Amazon bedrock agent core runtime - two vital tools for creating Test Scripts. With every project I undertake, my focus is on genuine innovation and delivering solutions that grow with my clients' businesses. Your project aligns perfectly with this principle as it requires detecting code updates and generating or patching existing test scripts accordingly - a task that demands not only efficient implementation but also scalability for future use cases. In conclusion, selecting me means having a competent partner who combines deep python programming skills with hands on experience in automation technology to cater to your needs by building smart agent code that aligns perfectly with your process.

@chandibraheem58

Hi, Your pipeline already triggers tests, the real gap is semantic change detection. If the agent can’t understand when a feature, endpoint, or dependency behavior changes, k6/LoadRunner/Selenium scripts drift and CI starts failing silently. I’d build a Python-based watcher agent that analyzes diffs locally first (AST + dependency + route/function mapping) because detecting intent is what enables accurate script regeneration. Then I’ll add a rules/LLM-assisted layer to patch existing k6, LoadRunner, and Selenium flows or generate new ones because maintaining continuity is more reliable than rewriting from scratch. After that, I’ll wire it into CircleCI/GitHub hooks with structured logging and dry-run validation because automated updates should remain explainable and reproducible. I’ve worked on similar AI-assisted automation systems under NDA, happy to share a relevant sample privately. Are your current k6/selenium scripts already mapped to services/endpoints in a structured way, or will the agent need to infer those relationships first? Best Regard, Chand