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Dave Smith

Case C

AI-Powered Developer Tooling

Automating the SDLC via intelligent code agents.

01 / Pipeline
  1. map
  2. reduce
  3. align
  4. Human checkpoint: human_decision
02 / Problem

PR review was the bottleneck: large diffs, inconsistent standards, and reviewers re-deriving context every time.

03 / Approach
  1. 01Map: split each PR into file- and concern-level chunks and analyze them in parallel.
  2. 02Reduce: merge findings into one evidence-backed report with a confidence score.
  3. 03Align: check the report against repo conventions and team standards before surfacing it.
  4. 04The agent recommends approve, reject or manual review — a human makes the call.
04 / Governance hitl

The agent never merges. Low-confidence or security-relevant findings force manual review.

Next caseD · Figma → Jira / Wiki Automation →

Chronos Node

MCP Connection: Active // 12+ Years Total Experience

MCP_KERNEL_v4.2.0