Demo stage of implementing AI agents
General Description
A freelancer is needed to carry out a test (demo) phase of implementing a multi-agent AI system on the real project code. The goal is to verify the approach before full implementation.
Demo phase budget: 2,500 UAH
Deadline: 1–2 working days
Project Stack
• Backend: PHP 8.1 / Yii2, MySQL, Redis
• Frontend: Vue 3.4 + Vite 5.4
• CI/CD: GitLab CI (test-env / prod-env)
• Task Management: Trello
What the Client Provides
|Resource |Details |
|------------------|-------------------------------------------------------|
|Access to GitLab |One module (2–4 thousand lines of code), read-only + PR|
|Task from Trello |“Stop List in POS” |
|Test Environment|Access to test-env for result verification |
What the Freelancer Should Do
Full cycle of AI-agent development on the real project code:
1. Code Analysis
Investigate the provided module, identify architectural patterns, integration points for agents.
2. Configure Agents for the Stack
Configure agents for PHP 8.1 + Yii2 + Vue 3.4:
• BA-agent (task decomposition)
• Backend Developer Agent
• Frontend Developer Agent (if needed for the task)
• QA-agent (tests)
• Code Reviewer Agent
3. Task Decomposition
The BA-agent breaks down the task “Stop List in POS” into subtasks with clear technical requirements.
4. Task Execution by Agents
Agents carry out development: code changes, migrations (if needed), tests.
5. Verification on test-env
The result is deployed and verified in the test environment.
What the Client Receives
• ✅ Pull Request in GitLab with completed changes
• ✅ Video recording of the process — how agents analyzed, decomposed, and executed the task
• ✅ Quality report — test coverage, identified issues, recommendations
Requirements for the Freelancer
• Experience with AI agents / LLM automation (Claude, GPT-4, Cursor, or proprietary solutions)
• Understanding of PHP / Yii2 at a level sufficient for code analysis
• Experience with GitLab (PR, branches, CI)
• Ability to configure multi-agent pipelines
Conditions and Limitations
• Deployment to prod is prohibited — only test-env
• Changes in business logic must be agreed with the client before execution
• Access to secrets and RBAC settings is not provided
• NDA is signed before gaining access to the code
After the Demo
If the result is satisfactory — a separate task will be created for the full implementation of the entire team of 14 agents for the entire development cycle (Backend, Frontend, QA, DevOps, Code Review, BA, Monitoring, etc.).
To respond: describe your experience with AI agents and show examples of similar work.
-
1510 10 0 Good day!
We at SDEV have experience in developing and automating complex systems, including working with AI agents. Based on your task — demonstrating a multi-agent system for the "Blacklist in POS" module — we propose the following approach:
1. Code Analysis
We will study the architecture of the module (2–4 thousand lines of PHP 8.1 / Yii2), identify integration points for agents and the database structure.
2. Agent Configuration
We will configure the BA agent, Backend Developer Agent, QA agent, and Code Reviewer Agent to work in the GitLab CI/CD environment.
…
3. Task Implementation
We will perform task decomposition, development, writing tests, and verifying the results in the test environment.
4. Documentation
We will prepare a video recording of the process, a PR with changes, and a quality report, including test coverage and recommendations.
Our experimental case: Automotive search and monitoring — a bot for data analysis on various platforms with instant notification.
We will complete the task within your budget and timeline, ensuring full control over changes in the test environment.
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1682 2 0 Ready to complete the demo stage as part of our agreement (discussed in private + NDA already signed).
Budget: 2,500 UAH
Deadline: 2 working days from the moment of receiving access to GitLab and the task from Trello.
How I will work:
Analysis of the module — architectural patterns of your Yii2 code, conventions, integration points
Creation of a project knowledge base (CLAUDE.md with your models, business rules, multi-tenancy through structure_id)
… Configuration of agents for the PHP 8.1 + Yii2 2.0.45 + Vue 3.4 stack
Launching the full cycle on the task "Stop List in POS":
BA agent — decomposes the task into a detailed technical specification with business questions
Developer — writes Yii2 code (model, controller, migration) + Vue component
QA — tests (Codeception + Playwright with screenshots)
Code Reviewer — checks according to 6 criteria (structure_id everywhere, event_log, N+1, security)
Deployment to test-env, checking the result
Recording video of the entire process
Ready Pull Request in your GitLab
My experience with AI agents:
— I develop production SaaS projects with AI agents daily (full cycle: from task decomposition to PR)
— Own toolkit of 27 specialized agents (BA, Architect, Developer, QA, DevOps, Code Reviewer, etc.) adapted to different stacks
— Implementation of multi-agent pipelines on Claude Opus 4.6 + Claude Code Agent Teams
— Experience with PHP, Python, Vue, React — agents are configured for the specific project stack through framework detection and CLAUDE.md
Examples of work:
AI Architect | Autonomous Systems: https://broken-cherry-4deb.roping-maxilla-0p.workers.dev/
TG Autopost v2.0 (40,000+ lines, high load): https://freelancehunt.com/showcase/work/autopost-v2-0-highload-sistema-avtopostinga/2024481.html
Ready to start on the day the bid is accepted. After the demo — you decide whether we move towards full implementation or not.
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