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Aspen Automation

AI-built applications, taken the rest of the way to production.

About

Aspen Automation is a two-person firm in Pocatello, Idaho that audits, hardens, migrates and maintains apps built on Lovable, Replit, Bolt.new and Base44. Its premise is that AI app builders are good at the first draft and systematically weaker on the last 30 percent: authorization correctness, data isolation between customers, secrets kept out of the client bundle, a restore that has actually been tested, and the dependency review, tests, CI/CD and monitoring around them. The work is sold as a ladder with published prices. Most engagements start with a fixed-price Security and Production-Readiness Audit at $499, one week, delivered as a written report ordered by severity with a remediation plan a founder can act on with or without them. A Production Hardening Sprint at $7,500 to $15,000 over two to three weeks fixes what the audit found and leaves tests, pipelines and monitoring behind. Platform Graduation at $10,000 to $25,000 moves code and data off the builder onto infrastructure the client owns, with portable auth and containerized deployment. A Care Plan at $1,500 to $5,000 a month covers monitoring, dependency updates, small feature work and review of what the agent wrote that week. The two people are named: Anthony Ranallo, Principal Consultant, and Steven Nagie, Technology Lead. Read from the firm's organisation profile at github.com/Aspen-Automation on 17 September 2026.

Services

Security & Production-Readiness Audit

Security Audit

Fixed-price audit delivered in one week as a written report ordered by severity, with a remediation plan that can be acted on with or without the firm.

From $4997 days

Production Hardening Sprint

Architecture Refactor

Fixes what the audit found and leaves behind the tests, pipelines and monitoring that keep it fixed. Two to three weeks, $7,500 to $15,000.

From $7,500

Platform Graduation

Full Stack Rescue

Code and data leave the app builder and run on infrastructure the client owns, with portable auth and containerized deployment. Scoped, $10,000 to $25,000.

From $10,000

Care Plan

Code Review

Ongoing monitoring, dependency updates, small feature work and review of whatever the agent wrote that week. $1,500 to $5,000 a month.

$1,500/hr

Vibe Tool Expertise

Tech Stack

security
supabase
ExpertProficientFamiliar

Problems This Agency Can Fix

Security Vulnerabilities
Critical

AI coding tools often generate code with exposed API keys, missing input validation, broken authentication, and insecure data handling. These vulnerabilities can lead to data breaches, unauthorized access, and compliance failures.

Broken Authentication
Critical

Authentication is one of the most common failure points in vibe-coded apps. AI tools frequently generate insecure auth flows, missing session validation, broken password resets, and improperly configured OAuth.

Slow Performance
High Priority

AI-generated applications often suffer from unoptimized database queries, excessive re-renders, large bundle sizes, and missing caching. This leads to slow page loads, poor Core Web Vitals, and frustrated users.

Deployment Failures
High Priority

AI-generated code often works locally but fails during deployment. Common issues include missing environment variables, incorrect build configurations, incompatible dependencies, and misconfigured hosting platforms.

Database Issues
High Priority

AI-generated database schemas often lack proper indexes, have no Row Level Security, use inefficient query patterns, and create data integrity problems. These issues worsen as your app grows.

Code Quality Issues
Medium

AI-generated codebases frequently have duplicated logic, inconsistent patterns, missing error handling, no TypeScript strict mode, and poor separation of concerns. This makes maintenance and feature additions increasingly difficult.

Scaling Problems
High Priority

AI-generated apps often hit walls when traffic or data volume increases. Missing caching, unoptimized queries, no CDN configuration, and monolithic architectures prevent apps from handling real-world load.

API Integration Issues
Medium

AI tools often generate API integrations with missing error handling, no retry logic, hardcoded endpoints, and insecure credential storage. These integrations break silently and are difficult to debug.

Mobile Issues
Medium

AI-generated UIs often look great on desktop but break on mobile devices. Missing responsive breakpoints, oversized images, touch-unfriendly controls, and fixed-width layouts create poor mobile experiences.

SEO Issues
Medium

AI-generated apps often lack proper meta tags, structured data, semantic HTML, and server-side rendering. This makes them invisible to search engines and kills organic traffic potential.