Stop losing hours to onboarding, debugging, and context-switching. Kent remembers your codebase, watches for risks, and works in the background so you can ship.
Onboarding
You inherited a microservice with zero documentation. 47 files, 12,000 lines, three layers of abstraction, and a production bug that is costing $3,000 an hour. Your manager expects a root cause analysis by end of day. Reading every file would take a week.
Drop the repo README and 3 architecture docs into Kent. Ask "which service handles payment webhooks?" Kent answers in 2 seconds: "payment-gateway/src/webhooks/stripe.ts, lines 45-120, called by the /api/stripe/webhook endpoint, retried via Bull queue in worker/jobs/payment-retry.ts." Ask a follow-up: "what happens if the webhook signature fails?" Kent traces the error path through 4 files and shows you the fallback that silently swallows the error. That is your bug. Your onboarding just went from 2 weeks to 2 hours.
Debugging
PagerDuty fires at 3 AM. The error log says "connection pool exhausted" on the orders service. You deployed 6 services this week. Connect GitHub and Kent already knows every PR merged this week, who authored it, and which files changed. The stack trace points nowhere useful. You are staring at CloudWatch metrics trying to mentally correlate timestamps across dashboards while half asleep.
Screenshot the error log and the CloudWatch dashboard showing the spike. Kent reads both: "Connection pool exhaustion began at 2:47 AM, correlating with a 4x spike in /api/inventory/bulk-check calls. This endpoint was modified in PR #847 merged Tuesday -- the new batch query opens a connection per item instead of using a single batch query. The fix is in inventory-service/src/routes/bulk-check.ts line 62: move the pool.connect() call outside the forEach loop." You push the fix, go back to sleep.
Code Review
A teammate opens a PR touching 15 files across 3 packages. The description says "refactored auth flow." You need to verify the security implications, check for regressions in the session handling, and make sure the new token refresh logic actually works with the mobile clients. Reading every diff line by line will eat your entire morning.
Highlight the PR diff. Run Skill Routing with Code Review + Security Audit + Performance Analysis in parallel. Kent returns three reports in 12 seconds. Security Audit flags: "The new refreshToken() no longer validates the audience claim before issuing -- see auth/tokens.ts line 89. Any service token could be exchanged for a user session token." Performance Analysis catches: "The token cache was removed in this refactor. Every API call now hits Redis for validation, adding ~15ms latency per request." You leave two precise review comments and approve the safe parts. Total time: 90 seconds.
Automation
Your team ships 30 PRs a week. The changelog is always out of date. Release notes are written in a frantic 20-minute scramble before the Thursday deploy. Half the entries are wrong because nobody remembers what "fix edge case in parser" actually fixed. Customers complain that the release notes do not explain what changed.
Set up a Ghost Mode rule: "When a PR is merged to main, generate a changelog entry categorized as fix/feature/breaking, including the user-facing impact in plain English." Kent runs silently on every merge. When Thursday arrives, you open the changelog and find 30 entries already written: "Feature: Bulk export now supports CSV and XLSX formats (PR #892). Fix: Dashboard filters no longer reset when switching tabs (PR #887). Breaking: The /api/v1/users endpoint now requires pagination parameters (PR #901)." You copy, paste, ship. Five minutes instead of an hour.
Architecture
Your team uses 40+ internal and external APIs. Deprecation notices come through Slack threads, email chains, and buried Confluence pages. Nobody tracks them in one place. Last quarter, a deprecated endpoint got removed and your checkout flow went down for 2 hours on a Friday afternoon.
With GitHub connected, Kent reads every PR description, issue comment, and wiki page your team produces. Combined with the API docs and architecture decision records you dropped in, Kent builds a complete picture of your dependencies. On Wednesday, Kent surfaces a Background Discovery alert: "The Stripe PaymentIntents v1 endpoint referenced in checkout-service/src/payments/stripe-client.ts is scheduled for removal March 15, per the deprecation notice in the API changelog you ingested on Feb 2. You are deploying checkout-service on Friday." You migrate to the v2 endpoint on Thursday. The Friday deploy goes clean. Your SRE buys you coffee.
Context
Six months ago your team decided to use event sourcing for the orders domain. The ADR is in a Google Doc with 47 comments. Three new engineers have joined since then. One of them just opened a PR that writes directly to the orders table, bypassing the event log entirely. Nobody on the review caught it because nobody remembers the ADR exists.
Each project workspace in Kent holds its own history and documents. Drop the ADR into the workspace for orders-service. When the new engineer asks Kent "how should I update order status?", Kent responds: "Per ADR-012 (dropped Nov 2025), order mutations go through the event log via OrderEventPublisher. Direct table writes bypass the audit trail and break the replay capability. See orders-service/src/events/publisher.ts for the pattern." Say "summarize the architecture review from last month" into voice and Kent transcribes, pulls the relevant ADR, and creates a checklist of the 4 open action items from the recording.
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