Changelog
What's shipped in Gitrevio. We update this every release.
Twelve new skill prompts shipped
Activity classification, attrition risk, plan vs reality, org health score, sprint autopsy, release risk, tech debt radar, optimal reviewer, onboarding analysis, anomaly detection, context switching, and AI impact reporting all now run as builtin AI Skills — executable from API, MCP, chat, scheduled reports, and alert rules. Custom skill authoring guide and five example skills published.
MCP server expanded to 136 tools
The MCP surface grew to 136 tools across four groups: 19 read tools for direct entity queries, 17 persona-aware dashboard tools (me_*, team_*, portfolio_*, exec_*, company_*), 10 write tools (alert create, report schedule, skill install, skill run, webhook create, chat share), plus skill execution. Persona-aware filtering enforced. 50+ pre-built prompts curated across 5 personas. Audit logging, per-session rate limits, and SHA-256 key hashing live. Setup guides for Claude Desktop, Claude Code, Cursor, Cline, Continue.dev, Goose, and Aider published.
Mathematical moat: Shapley + lognormal + blast-radius
Three foundational capabilities shipped simultaneously. Shapley attribution library with axiom-verification tests (efficiency, symmetry, dummy-player, linearity). Lognormal probabilistic estimation calibrated per team via MLE — p50/p75/p90 dates with calibration tests on every release. Code blast-radius DAG built locally via LocalGit; formal reachability across Python, JavaScript, Java, Go, Clojure, and PHP imports. Only graph + scores leave the network.
What-If Simulator — 8 scenarios
Departure, hiring, restructuring, reassignment, vacation, AI rollout, framework migration, and contractor analysis. Each scenario runs against your real team data — knowledge graph, review patterns, sprint history. Monte Carlo sampling delivers p50/p75/p90 outcomes, not single-point estimates.
Intelligence layer expanded
Sprint Autopsy with six-section auto-generated retro narratives. Tech Debt Radar combining Lizard complexity, churn, AI-tagged TODO/FIXME signals, and incident attribution. Optimal Reviewer Assignment balancing file expertise, queue depth, review-quality history, and AI-authorship match. Contributor Typologies via per-customer K-means / GMM clustering. Anomaly Detection with z-score + EWMA + Bayesian smoothing for small teams.
Org Health Score + AI Impact MVP
Composite score across 20 signals (velocity, quality, engagement, risk) with full per-component decomposition and trend. AI Impact dashboard MVP — heuristic AI-authorship classification from commit signals, with quality and cycle-time comparison vs human-only PRs. GitHub Copilot Metrics API and Cursor Admin API integrations queued for Q3 2026.
8 report templates + alerts engine
Weekly Digest, Sprint Retro, Board Report, AI Impact, Onboarding Cohort, Attrition Risk, Project Forecast, Code Health — all schedulable, deliverable to PDF, email, Slack, or in-app. Alerts engine launched with three of nine rule types live: PR stuck, sprint at risk, attrition risk spike. Remaining six rule types ship through Q3 2026.
Activity classification + attrition + onboarding shipped
Six AI workers in production: activity classification, IC risk, duration estimation, file-type tagging, activity-type inference, onboarding/pairing/mentoring tags. Attrition risk scoring with Shapley factors. Onboarding analysis with cohort ramp curves and mentor effectiveness. Plan-vs-reality drift decomposition (scope creep, estimation error, blockers, dependencies, PTO, AI slowdown).
AI Chat with persistent history
Multi-turn conversations with reference resolution ('that team', 'why?'), shareable threads, and exportable transcripts. Charts generated inline. Integrated with skills and read API.
Per-PostgreSQL-role tenant isolation + AES-256-GCM
Each customer gets dedicated writer and reader Postgres roles. Cross-customer reads impossible at the database engine. AES-256-GCM credential encryption. Customer-staff vs central-staff isolation: support access is time-limited, role-gated, audit-logged, admin-revocable.
LocalGit on-prem agent + analyzers
Lightweight agent runs on your infrastructure. Lizard for complexity, flake8 + pylint + ruff for Python, eslint for JavaScript, go vet for Go, eastwood for Clojure. Source code never leaves the network — only structured metadata, hashed file IDs, and dependency-graph structure.
GitHub + GitLab connectors
Production-grade ingestion of commits, PRs (with reviews and comments), issues. GitHub Cloud + GHES, GitLab Cloud + self-hosted. Incremental sync, rate-limited, full backfill on first connection.
REST API v1 + OpenAPI 3.1
Seven Layer-1 endpoints: repos, commits, quality, team, chat, skills, audit. FastAPI backend, OpenAPI 3.1 auto-generated, RFC 7807 error responses, cursor-based pagination, mock-first framework with deterministic fixtures for every endpoint.