An AI teammate for your engineering team.
PATCH connects directly to Git repositories and Azure DevOps work items via the Model Context Protocol (MCP) to give engineering teams context-aware pull-request reviews, change-impact analysis, and linked work-item verification without leaving their workflow.
An orange mechanical robot repairing a circuit board.
WHY LEGACY WORKFLOWS BREAK DOWN.
Code reviews often suffer from missing context: reviewers have to cross-reference diffs against Azure DevOps tickets, architectural conventions, and related modules manually.
Large pull requests stall in review queues because understanding the intent and blast radius takes too long.
Requirements in Azure DevOps work items drift from what is actually implemented in a branch.
Generic AI code review bots comment on trivial syntax while missing repo-specific patterns and ticket acceptance criteria.
HOW PATCH SOLVES IT.
PATCH uses MCP tools to inspect the full repository tree, git history, and linked Azure DevOps work items before producing structured PR summaries and targeted review findings.
Correlates code diffs with Azure DevOps user stories, acceptance criteria, and linked bug reports.
Traverses call sites and module imports via MCP tools rather than looking only at isolated diff hunks.
Produces concise PR briefings, risk flags, and actionable review comments directly in the team's workflow.
BUILT FOR PRODUCTION REALITY.
6 CORE MODULES // PATCH
Pull-Request Analysis
Summarizes structural changes, affected modules, and potential regression areas across multi-file diffs.
Git Repository Inspection
Navigates file trees, blame history, and symbol references to understand surrounding code context.
Azure DevOps Work-Item Integration
Fetches linked epics, stories, and tasks to verify that code changes align with stated acceptance criteria.
AI-Generated Code Review Summaries
Generates human-readable walkthroughs, sequence notes, and targeted inline review observations.
MCP Tool Integration
Exposes standardized Model Context Protocol servers for Git, Azure DevOps, and internal linters.
Development Workflow Insights
Surfaces bottlenecks, recurring review themes, and unlinked changes across active sprints.
FROM INPUT TRIGGER TO VERIFIED OUTPUT.
Receive PR Event
Captures branch refs, changed file list, and linked Azure DevOps work-item IDs.
Fetch Repo & Ticket Context
Reads work-item acceptance criteria, diff hunks, and referenced source files.
Analyze Impact & Specs
Evaluates logic changes, edge cases, and alignment with the work item.
Publish PR Briefing
Posts a clear change walkthrough, spec checklist, and targeted review notes.
DETERMINISTIC GUARDRAILS + APPLIED INTELLIGENCE.
High-signal reviews require repository context and product intent. We avoid noisy line-by-line nitpicking in favor of architectural and requirement-aware analysis.
Model Context Protocol (MCP) First
All repository and Azure DevOps capabilities are encapsulated as modular MCP tools so the agent can pull surrounding files on demand.
Ticket-to-Diff Alignment
By reading the linked Azure DevOps work item alongside the diff, PATCH highlights missing acceptance criteria before QA.
Noise Suppression
Deterministic formatters and linters handle style; the LLM focuses on logic, edge cases, security, and cross-module impact.
SYSTEM ARCHITECTURE & DATA FLOW.
An MCP-centered agent host that orchestrates read-only tool calls across Git and Azure DevOps REST APIs to assemble rich context before running review reasoning.
Receives pull-request lifecycle events or developer on-demand review requests with branch and ticket identifiers.