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App Corp
Full-service software engineering
Engineering your experience…
App Corp
Full-service software engineering
Engineering your experience…
Chief Technology Officer
Alex has 16 years of experience building distributed systems and leading engineering teams at companies ranging from Series A startups to Fortune 500 enterprises. He previously served as VP of Engineering at two venture-backed SaaS companies before joining App Corp.
Most product analytics dashboards are elegant lies. Pageviews up 40%, DAUs at all-time high, business heading off a cliff. Here's the truth.
The advanced TypeScript patterns that make a real difference when maintaining a 200K-line codebase across 12 engineers.
AI engineering is the practice of building production systems that use machine learning models to deliver business value. Here's what it actually involves.
An AI engineering company builds production systems, not demos. Here's what that actually means — from architecture to deployment to ongoing operations.
Production AI architecture is about managing uncertainty, not eliminating it. Here are the patterns that make AI systems reliable at scale.
Workflow automation is deterministic and reliable. AI agents are flexible and adaptive. The best systems use both. Here's when to use each.
Production AI agent architecture is about guardrails, not capabilities. Here are the patterns that make agents reliable at scale.
Memory is what separates a stateless tool from a personal assistant. Here's the architecture for agent memory that persists and improves over time.
Tool calling is what makes agents useful. Here's the architecture for designing, implementing, and operating tool interfaces reliably.
AI SaaS combines SaaS architecture with AI infrastructure. Here's the architecture for multi-tenant AI products that scale.
AI SaaS scaling challenges are different from traditional SaaS. Here's how to scale inference, data pipelines, and cost efficiency.
Building an AI SaaS MVP requires balancing speed with architecture. Here's what to build first and what to defer.
AI is not always the answer. Here's the honest framework for when AI adds value and when it's the wrong tool for the job.
Agents are powerful but expensive and complex. Here's when to use agents and when to use simpler automation.
Healthcare AI requires HIPAA compliance, audit logging, and production reliability. Here is how App Corp approaches healthcare software development.
AI healthcare operating systems unify clinical, administrative, and patient systems into a single platform — the infrastructure layer for modern healthcare delivery.
Education AI requires FERPA compliance, multi-tenancy, and cost sensitivity. Here is how App Corp approaches education software development.
AI education SaaS requires multi-tenancy, cost-sensitive pricing, and regional adaptation. Here is the architecture for scaling education platforms across school networks.
EduPilotPro demonstrates the architecture for AI school operating systems — multi-tenant, AI-powered, and production-proven across diverse school environments.
Local SEO for aesthetic clinics requires different tactics than standard local business SEO. Here's the playbook that ranked Cosmeticure in the Google 3-pack.
Small healthcare practices don't need enterprise digital transformation. Here's the pragmatic, phased approach that digitised Dandaansaz's operations.