# Iterative Implementation Phase

## Prerequisites

### Jira MCP
Add Jira MCP to the list in IDE:
```
"Jira-MCP-Server": {
   "url": "https://mcp.atlassian.com/v1/sse"
}
```

### Context7 MCP
Add context7 MCP to the list in IDE:
```
"context7": {
   "command": "npx",
   "args": [
     "-y",
     "@upstash/context7-mcp"
   ]
 }
```


## 10 **🧑‍💻 Developers**: Form a building block

 ### Form a building block in the next format:
  ```
   # Building Block: Title
   
   ## Problem / Goal
   Short description of the problem we have to solve or what the end goal we need to achieve. 2-3 lines

   ## Architecture Notes (optional)
   How it should be implemented. Which subsystem to use, short explanation of the 3-5 lines.
   
   ## Outcome
   What we want to achieve from the building block
  ```
 ### Example
  `_docs/iterative/building_blocks/01-dashboard-export-example.md`


## 20. **🤖AI agent**: Generate Feature Specification
   ### Execute `/gen_feature_spec`


## 30. **🤖AI agent**: Generate Jira ticket and branch
   ### Execute `/gen_jira_task_and_branch`
   
   This will:
   - Create Jira task under specified epic
   - Create git branch from dev (e.g., `az-122-progressive-search-system`)


## 40. **🤖📋AI plan**: Generate Plan
   ### Execute 
   generate plan for `@_docs/iterative/feature_specs/spec.md`
   Example:
   generate plan for `@_docs/iterative/feature_specs/01-dashboard-export-example.md`


## 50. **🧑‍💻 Developer**: Save the plan
   Save the generated plan to `@_docs/iterative/plans`.
   (First, save with built-in mechanism to .cursor folder, then move to this folder `@_docs/iterative/plans`)


## 60. Build from the plan


## 65. **🤖📋AI plan**: Code Review
   ### Execute
   Use Cursor's built-in review feature or manual review.
   
   ### Verify
   - All issues addressed
   - Code quality standards met


## 70. Check build and tests are successful.