I want to put together a small-scale, free-tier proof-of-concept that shows how a multi-agent AI can run through the full software-development life cycle while managing a simple Student Records example. The emphasis is on ease of use: I should be able to spin the demo up from a fresh repo, seed a few records, and immediately watch the agents collaborate without digging through configuration puzzles. This system automates the software development lifecycle using specialized AI agents: Agent Responsibility 1. Requirement Agent Convert prompt → structured requirements 2. JIRA Agent Create project, epics, stories 3. Developer Agent Generate code + infra + deploy 4. Test Agent Create and run automated tests 5. Progress Agent Update JIRA status automatically 6. DevOps Agent Deploy, monitor, alert Free-Tier Tools Used Category Tool LLM OpenAI Free / Claude Free / local models Orchestration Python + LangChain (optional) Repo GitHub (free) Project Mgmt Jira Free (up to 10 users) CI/CD GitHub Actions Backend DB AWS RDS MySQL (free tier) Hosting AWS Amplify (free tier) Testing Playwright (free) Monitoring AWS CloudWatch (free tier) User Prompt ↓ Requirement Agent ↓ JIRA Agent ↓ Developer Agent ↓ GitHub Repo + PR ↓ Test Agent (Playwright) ↓ DevOps Agent (Deploy + Monitor) ↓ Progress Agent (Update JIRA) PR Workflow Agent creates branch Pushes code Opens PR Amplify auto-deploys preview Triggers Event Action PR Created Move ticket → "In Progress" Tests Passed Move → "QA" Deploy Success Move → "Done" All of the above Deliverables including below 1. Git repo with clean, commented code and a one-command setup script. 2. README that walks me through the agents’ roles, how to extend them, and how the SDLC flow is orchestrated. 3. Short screen-capture or GIF demonstrating a record import followed by an automatic analytical report. 4. Brief note on future scalability options once we move beyond the free tier. Acceptance: This need to be a simple Multi agentic project.