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PRD-015: Engineering Governance & Productivity Platform

  • Status: 📋 Draft
  • Authors: Podcast Scraper Team
  • Related RFCs: RFC-031 (Complexity), RFC-038 (Review), RFC-039 (Workflow), RFC-018/019/020/024/030 (Testing)

Summary

The Engineering Governance & Productivity Platform is a unified management system designed to drive developer velocity while maintaining institutional quality standards. It transforms the engineering process from a series of individual contributions into a governed lifecycle where quality is enforced automatically, environment isolation is guaranteed, and the "friction of scale" is managed proactively.

By combining Continuous Review Tooling (RFC-038), Isolated Development Workflows (RFC-039), and Automated Quality Guardrails (RFC-031, RFC-018+), we establish the capability to scale the codebase and the contributor base without a corresponding drop in velocity or confidence.

Background & Context

As the project grows in complexity, we face three primary "friction" challenges:

  1. Review Bottlenecks: As PR volume increases, human review becomes a serial bottleneck. We need to "manage" the review load with automated assistants.
  2. Context Switching & Contamination: Traditional single-branch development leads to environment pollution. We need to drive a "Clean Room" development model.
  3. Complexity Creep: Without objective guardrails, technical debt and "Large File" syndromes accumulate silently, making the codebase harder to drive over time.

The Solution: An integrated platform that manages the developer experience. It provides the "Rails" that keep development fast and the "Guardrails" that keep the codebase healthy.

Goals

  1. Automated Governance: 100% of PRs should receive automated feedback on complexity, style, and architectural boundaries before a human even sees them.
  2. Zero-Contamination Workflow: Establish Git Worktrees and dedicated CI environments as the primary way to manage parallel features.
  3. Tiered Confidence: Implement a multi-tier testing strategy (Unit -> Integration -> E2E) that balances feedback speed with total system confidence.
  4. Codified Complexity Management: Automatically detect and flag files or modules that exceed maintainability thresholds (e.g., the "Issue #140" Large File problem).

Core Pillars

1. The Guardrail (Quality Governance)

  • RFC Reference: RFC-031, RFC-038
  • Capability: Static analysis, complexity scoring, and automated PR commentary.
  • Driving Value: Prevents the project from becoming unmanageable by enforcing "Maintainability by Default."

2. The Clean Room (Productivity Infrastructure)

  • RFC Reference: RFC-039
  • Capability: Standardized Git Worktree patterns and environment-isolated CI triggers.
  • Driving Value: Eliminates "It works on my machine" errors and manages the cost of context switching.

3. The Shield (Confidence Engine)

  • RFC Reference: RFC-018, 019, 020, 024, 030
  • Capability: Optimized, tiered test suites with high coverage and fast feedback loops.
  • Driving Value: Drives developer velocity by providing a safe, fast safety net for every change.

Personas & Use Cases

UC1: Scaling the Contributor Base (The "Governance" Case)

Persona: Project Maintainer Scenario: "I have 5 open PRs and only 1 hour to review." Action: The Maintainer checks the Automated Review Summary generated by the platform. Result: 3 PRs are flagged for high complexity or missing tests. The Maintainer focuses their limited time on the 2 PRs that already pass all governance checks.

UC2: Rapid Parallel Iteration (The "Velocity" Case)

Persona: Feature Developer Scenario: "I need to fix a critical bug in production while halfway through a major refactor." Action: The developer uses the standardized Worktree workflow to spin up a clean environment in seconds. Result: The fix is verified and shipped without stashing or polluting the refactor environment.

UC3: Proactive Refactoring (The "Management" Case)

Persona: Engineering Lead Scenario: "We need to plan our next technical debt sprint." Action: The Lead pulls the Code Complexity Report across the entire project. Result: The report identifies three modules that have crossed the "Critical Complexity" threshold, driving the priority of the next sprint.

Product Requirements

PR1: Automated Feedback Loop

  • FR1.1: Continuous Review: Integrate AI or script-based PR analysis that comments on code quality and boundary violations.
  • FR1.2: Complexity Gating: Fail CI or post warnings if a file exceeds N lines or a function exceeds X cyclomatic complexity.

PR2: Standardized Developer Environments

  • FR2.1: Worktree First: Provide CLI tools or scripts to manage feature-specific worktrees with zero manual setup.
  • FR2.2: Isolated Build Cache: Ensure parallel worktrees do not share or contaminate build artifacts (e.g., coverage files).

PR3: High-Fidelity Test Tiers

  • FR3.1: Fast Fail Path: Decouple "Fast" tests (Unit) from "Slow" tests (ML Integration) to drive immediate feedback.
  • FR3.2: Coverage Visibility: Automatically track and report coverage deltas per PR to manage "Untested Code Creep."

Success Criteria

  • ✅ Developer Onboarding: A new developer can set up a clean, isolated feature environment in < 2 minutes.
  • ✅ Review Efficiency: 80% of trivial style or complexity issues are caught and fixed by the author before human review.
  • ✅ Maintainability Stability: No new "Large Files" (> 1000 lines) are introduced without an explicit architectural override.
  • ✅ Feedback Latency: Primary "Confidence" signal (Unit Tests) delivered in < 60 seconds on all PRs.