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Estimate system complexity with BCP Plus and track results over time.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "nova.mcp-bcp-counting" yet — see the docs or source repo.
Use the BCP Plus method to estimate the development complexity of adding a coupon checkout module to an e-commerce platform. Count all 13 dimensions, explain the basis for each score, and output the total H/BCP result.
A structured complexity estimate with all 13 dimensions, scoring rationale, and final totals.
Perform BCP Plus complexity counting for the five requirements in this iteration and organize the results into a comparison table for ongoing H/BCP tracking.
A comparable complexity table across requirements for future tracking and retrospectives.
Based on the project documentation and past counting results, review the BCP Plus scores across all 13 dimensions, identify possible overestimates or underestimates, and update the persisted results.
A reviewed complexity report with variance notes, correction suggestions, and updated tracking results.
Extract and review Claude Code planning reasoning with structured decision analysis.
Offload boilerplate, type generation, and summaries to OpenAI for faster development.
Coordinate multiple AI coding agents to build, review, and remember together.
Use Claude via MCP for prompting, structured analysis, and content generation.
Make project docs instantly accessible so Claude Code understands architecture and conventions.
Connect Claude models to IDEs and agents for free coding assistance.