Your business is ready to scale.
Your Rails monolith isn't.
I am a Senior Rails Developer. I don't just "write code." I deploy a proprietary fleet of AI agents to upgrade, test, and refactor your legacy codebase in 2-week sprints.
Why I built this.
I'm Damian. I've spent 15 years inside large Rails codebases. I've seen the same pattern everywhere: teams hire brilliant developers to build features, but the "janitorial work" (upgrades, flaky tests, refactoring) gets ignored until it kills velocity.
I realized that hiring more humans to fix technical debt is a losing battle. It's too slow and too expensive.
So I stopped taking standard freelance contracts and built a machine to do the heavy lifting instead.
Most companies do not know how to implement agent correctly. I'm here to help you start this process by implementing real agents. Not just markdown files with rules.
The Monolith Bottleneck
The "Friday Fear"
"We only deploy once a day, and never on Fridays, because our CI takes 45 minutes and we don't trust the test suite."
The Upgrade Wall
"We are stuck on Rails 6.0. We know we need to upgrade to 7.2 or 8.0, but it’s a 3-month project nobody wants to own."
The Hiring Trap
"We are trying to hire Senior Devs to fix this, but onboarding them takes 6 months before they are productive."
The AI Illusion
"We gave our team Cursor/Copilot, but it just helps them write legacy code faster. It doesn't fix the architecture."
My Optimization Infrastructure
I don't sell a SaaS. I deploy these agents directly into your repository to do the work of a dedicated Maintenance Team.
Automated Rails Upgrades
My UpgradeAgent handles the grunt work of moving from Rails 6 → 7 → 8. It isolates breaking changes, fixes `zeitwerk` loading issues, and updates gem dependencies automatically.
Test Suite Stabilization
Flaky tests destroy developer confidence. I run a fuzzing agent that generates thousands of edge-case scenarios to find the gap between "Prod Data" and "Test Data," aiming for 90%+ reliable coverage.
Legacy Refactoring
I target the "God Objects" and 2,000-line controllers. My agents safely extract logic into Service Objects and Concerns without breaking existing functionality.
Also: Rails Upgrader, Test Expander, i18n Cleaner, PR Reviewer, Legacy Killer, Documentation Master, Performance Optimizer, Feature Planner, Design Integrator.
Zero-Risk Integration
Security First: Agents run in a sandboxed CI or
locally on my machine.
Control: I never commit directly. You receive
clean Pull Requests that your team reviews.
Recent Case Study: FinTech Series B
The ROI is simple
A typical engagement frees up $100k+ / year in senior engineering time by removing recurring maintenance friction (slow CI, upgrade debt, risky refactors) — while improving stability and deploy confidence.
This also improves Revenue Per Employee by increasing output without increasing headcount.
The Future of Development
Internalize Your Agents
Future-proof your stack by owning your automation. Use the latest models, customize UIs, and keep code privacy intact. Agents become permanent assets that stay with your company.
Redefine Developer Roles
Move from 80% execution to 80% strategy. Let AI handle the grunt work while your team focuses on product vision, technical surveys, and meaningful innovation.
My Fleet of Specialized Agents
Enforce team patterns automatically
Generate edge-case scenarios
Systematic refactoring file-by-file
Auto-update API specs & READMEs
Generate vulnerability reports
Find bottlenecks & optimize
Auto-create PRs with solutions
Build internal tools fast
How I Differ From Agencies
| Capability | Me | Typical Agencies |
|---|---|---|
| Custom AI Agents (not SaaS) | ✓ | ✗ |
| Codebase stays private | ✓ | ✗ |
| 15 years Rails expertise | ✓ | Partial |
| Agents evolve with your code | ✓ | ✗ |
| Direct access to expert | ✓ | Team |
Frequently Asked Questions
"We have a unique stack. Will this work?"
Yes. The agents are framework-agnostic and learn your specific patterns. We build them to understand your codebase's unique architecture.
"We tried Cursor/Copilot and the code was garbage."
That was 6 months ago—models have evolved dramatically. Bad results usually come from poor context, not bad models. My agents add context intelligently.
"Do we implement all agents at once?"
No. We start step-by-step, targeting your biggest bottleneck first. Monitor results, then add more agents as needed.
"Can we do everything remotely?"
Absolutely. All collaboration happens via Slack, GitHub, and video calls. I work with companies worldwide.
Engagement Model
The Audit
Discovery Phase
A low-risk "Health Check." I run static analysis tools and manual architectural review. You get a PDF report of vulnerabilities, bottlenecks, and a "Complexity Score."
The Cleanup Sprint
Execution Phase
A 2-week intensive sprint. I deploy the agents to execute the roadmap defined in the audit. We target the highest ROI bottleneck first (usually upgrades or CI speed).
The "Guardian"
Retainer Phase
I keep your app modern. Monthly dependency updates, continuous agent tuning, and performance monitoring.
Turning Rails apps into Masterpieces.
You are a few weeks away from cleaning all your legacy code.
Hi Damian,
I’m [Your name], the [Role] of [Company].
We have [X] devs on our Rails monolith.
Velocity is suffering due to [slow CI / upgrades / tech debt].
Can you help us build a maintenance strategy for 2026?
See you soon,