Your engineers spend 13 hours a week on tech debt. We automate most of it.
Kaydence connects to your GitHub organization, identifies which repos benefit from which workflows, and runs automated transformations, Java migrations, security patches, code standardization at scale. Every change is a pull request. Every pull request is human-reviewed.
Book a 20-minute demo See how it works ↓Tech debt is not a "later" problem.
Engineers spend between 25% and 42% of their time on activities caused by technical debt: rework, workarounds, slow builds, debugging legacy code, and managing fragile dependencies. For a 50-person engineering team, that's over $2.5 million in annual payroll consumed by debt before you account for incident costs.
Security debt compounds it. The average data breach in 2024 cost $4.88 million. GDPR fines reach €20 million or 4% of global turnover. HIPAA violations carry penalties up to $1.5 million per category, per year. Companies subject to SOC 2, ISO 27001, HIPAA, or GDPR face mandated patching windows that don't move.
Yet the remediation work, language migrations, dependency upgrades, code standardization, is manual, repetitive, and routinely deferred in favor of feature work. Debt compounds. Compliance risk accumulates. Velocity suffers.
Connect. Scan. Run. Done.
Kaydence is built around a single magic moment, the gap between authenticating GitHub and seeing exactly which repos in your estate would benefit from which automated workflows, with engineering time savings quantified per workflow.
Connect
Authenticate GitHub. Choose repo-level or org-level access. Done in two clicks.
Scan
Kaydence scans your repositories, parsing build files, dependencies, and test imports and identifies which repos are eligible for which workflows. Typically completes in under 5 minutes for 50 repositories.
See your opportunities
The Workflow Opportunities dashboard shows: this many repos eligible for Java 17 migration, this many with vulnerable dependencies, this many with Enzyme test suites each paired with an estimated PR volume and engineering hours saved.
Run a campaign
Pick a workflow. Pick the repos. Dry-run to preview the changes. Click execute. Kaydence opens pull requests with descriptive context, risk levels, and rationale.
Review and merge
Every PR is human-reviewed, no auto-merge, ever. LLM-assisted transforms validate against your own CI before opening as ready-for-review. Closed PRs feed back into the system to make future runs smarter.
Three campaign types. Six high-volume workflows. Built for the 80% of debt that compounds.
Kaydence ships with a focused set of pre-built workflows, prioritized by engineering hours saved per repo. Custom rules cover the rest.
Security Patching
CVE dependency patching
Vulnerability scanning across npm, pip, Maven, and Gradle. Auto-generated PRs to bump vulnerable packages to safe versions. CVSS thresholds and grouped patching included.
Language & Framework Migrations
Java 8/11 → Java 17/21
API removals, type inference changes, build file updates.
JUnit 4 → JUnit 5
Annotation, import, and assertion updates across test classes.
Spring Boot 2 → 3
Jakarta EE namespace migration, Java 17 baseline, config property updates.
Enzyme → React Testing Library
Behavior-based test rewrites for React component test suites.
Code Standardization
Common static analysis fixes
Bundle of 50+ low-risk fixes: null checks, unused imports, empty blocks, redundant casts. Sourced from SonarQube/Checkstyle-style scans.
Custom Rules
Define your own find/replace or regex-based transformations for naming conventions, import patterns, or any team-specific standard.
Built for engineering leads, not just engineers.
Existing tools handle slices of the problem. Dependabot bumps dependencies. Moderne and OpenRewrite do precise Java refactors. Neither gives you a campaign layer, a debt dashboard, or a self-serve activation surface.
| Dependabot | Moderne / OpenRewrite | Kaydence | |
|---|---|---|---|
| Language migrations | — | ✓ Java-first | ✓ Java + React at MVP |
| Security patching | ✓ deps only | partial | ✓ with campaign management |
| Code standardization | — | ✓ | ✓ static analysis at MVP |
| Magic-moment scan + opportunity dashboard | — | — | ✓ |
| Engineering lead dashboard | — | — | ✓ |
| Campaign management | — | — | ✓ |
| Transformation engine | N/A | AST | Hybrid: AST + LLM |
See the scan run on your repos.
The fastest way to evaluate Kaydence is a 20-minute demo on your own GitHub estate. We'll authenticate, scan, and walk through the Workflow Opportunities dashboard live.
Book a demo Or email us