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Oleksandr Bezdieniezhnykh 73cbe43397 review of all AI-dev system #01
add refactoring phase
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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.