by jonathan-vella · Agent Tool · ★ 210
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APEX Agentic Platform Engineering eXperience for Azure. This repository is the source project for a multi-agent workflow that turns Azure platform engineering requirements into deployable Bicep or Terraform with human approval gates across the lifecycle. The full documentation for this repository lives here: APEX documentation Key entry points: Accelerator template MicroHack Contributing guide Workflow mermaid sequenceDiagram autonumber participant U as User participant O as Orchestrator participant R as Requirements participant X as Challenger participant A as Architect participant IaC as IaC Plan participant Gen as IaC Code participant D as Deploy participant W as As-Built Note over C: ORCHESTRATION LAYERAI prepares. Humans decide. U-C: Describe infrastructure intent C-R: Translate intent into structured requirements R--C: 01-requirements.md (includes iactool selection) C-X: Challenge requirements X--C: challenge-findings.json C-U: Present requirements + challenge findings rect rgba(255, 200, 0, 0.15) Note over U,C: HUMAN APPROVAL GATE U--C: Approve requirements end C-A: Assess arch
| Stars | 210 |
| Forks | 75 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61.2022645900438/100 |
| Open Issues | 4 |
| Last Updated | 2026-06-09 |
| Created | 2025-12-04 |
| Platforms | python, vscode |
| Est. Tokens | ~5182k |
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apex is APEX turns Azure platform engineering requirements into verified, deploy-ready IaC — powered by GitHub Copilot agents, real-time pricing, and built-in compliance.. It is categorized as a Agent Tool with 210 GitHub stars.
apex is primarily written in Python. It covers topics such as agentic-ai, agents, anthropic.
You can find installation instructions and usage details in the apex GitHub repository at github.com/jonathan-vella/apex. The project has 210 stars and 75 forks, indicating an active community.
apex is released under the MIT license, making it free to use and modify according to the license terms.
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