Knowledge in motion.
Content
Learning
Experience
Digital education
Alumnus E-learning
One of the digital education initiatives I contributed to throughout my career.
Product + engineering + vision
Engineering for products that need to evolve.
I'm Andy Castro, Product Engineer. I connect architecture, user experience, and technical execution to turn complex problems into reliable solutions.
15+
Years building
digital products
digital products
Web · mobile · desktop
End-to-end perspective
End-to-end perspective
Current focus
AI-assisted engineering
AI-assisted engineering
01 / Projects
Products, people, and real-world contexts.
A career built across different sectors. These are some of the initiatives I've contributed to.
Connections that happen.
Discover
Plan
Connect
Digital platform
A Festa Toda
Digital product experience in a different context, with participation in the A Festa Toda project.
Published product
Aura — Work-flow intelligence
Shipped Chrome and VS Code extensions with local architecture for work sessions and editor context — data stays on device.
Compositions are illustrative; they do not represent real project screens.
I'm a Product Engineer with 15+ years of experience in scalable, high-performance, people-centered digital products.
My work goes beyond frontend or backend. I operate across the full product engineering cycle, combining software architecture, user experience, technical execution, and product thinking.
I value clean architecture, pragmatic decisions, and continuous learning. I'd rather pick the right tools for the problem than lock into a single layer or technology.
03 / Focus
Broad perspective. Careful execution.
Five complementary areas that turn complexity into reliable, evolvable products.
-
01
Product engineering
End-to-end development across web, mobile, backend, and desktop, connecting product needs and technical decisions.
-
02
AI-assisted development
Spec-Driven Development, coding agents, and workflows that integrate AI into planning, implementation, and testing.
-
03
Software architecture
Microfrontends, scalable systems, and maintainability with pragmatic architectural choices.
-
04
Engineering excellence
TypeScript, automated testing, CI/CD, code quality, and continuous delivery as part of building the product.
-
05
Technical leadership
Mentorship, developer experience, cross-team collaboration, and an engineering culture that keeps learning.
04 / Technical toolkit
Tools in service of the problem.
Build
Reliability
Evolution
Technical depth without tool attachment: context, clarity, and maintainability guide my choices.
05 / AI in engineering
More capacity.
Same rigor.
I'm interested in combining human judgment, solid engineering principles, and AI to build better products — without compromising quality.
01 / Specify
Make the problem, context, and acceptance criteria explicit.
02 / Implement
Integrate coding agents into tasks with clear boundaries and intent.
03 / Verify
Combine human review, tests, and engineering principles.
04 / Learn
Use feedback to improve the product and the workflow itself.
06 / Leadership & DX
Great products also come from great teams.
Beyond writing code, I enjoy developing people. Mentorship, knowledge sharing, and collaboration are part of how I work.
- Mentorship & exchange Support developers and make knowledge sharing easier.
- Developer experience Improve engineering workflows and reduce friction for the team.
- Shared decisions Help teams make better technical decisions with context and collaboration.
07 / Engineering notebook
Think, build, share.
Topics in progress / Drafts and editorial samples, not published articles.
SDD · Editorial draft
Before code, intent: a look at Spec-Driven Development
Scalable frontends start at the boundaries
Responsibilities, contracts, and pragmatic choices for systems that need to evolve.
Estimated reading · 6 min
Aura — Work-flow intelligence: browser, editor, and local context
Shipped Chrome and VS Code extensions linked by local architecture for work sessions with editor context.
Estimated reading · 7 min
08 / Contact
What problem should we solve?
A product to evolve, an architecture challenge, or a conversation about engineering. Share a bit of your context.
Product engineering- Architecture & quality
- AI applied to development