Published on the App Store
Daily Vent
A published iOS app for recording and reflecting on daily thoughts, taken from concept through implementation and App Store publication.
View on the App Store ↗Swift · SwiftUI · Firebase · Node.js
Tools I work with
Practical stack.
- Core
- TypeScriptNext.jsReactSwiftSwiftUINode.jsPythonSupabaseWordPress
- Working knowledge
- JavaScript — Working knowledge
- Tools & platforms
- SQLiteGitGitHubVercelRenderStripe
- Basic
- C# — Basic
Featured iOS Products — 012026
Published on the Apple App Store
Daily Shove
iOS App
A published iOS app delivering short, direct motivational messages — designed, built, and shipped end to end, from concept through the App Store.
A fresh nudge, every day
Home-screen widget included
No fluff. No fake positivity.
View on the App Store
SwiftSwiftUIWidgetKitStoreKit
Published on the App Store
FlushWars
A playful social app that turns everyday bathroom habits into friendly competition with trip logging, streaks, achievements, challenges, and leaderboards.
Featured Project — 022025 — Present
Plateria
Restaurant Technology Platform
Plateria connects a restaurant's storefront, customer ordering experience, owner dashboard, and kitchen workflows in one integrated platform. I'm shaping the product architecture and operational flows so independent restaurants can run a cohesive, direct customer experience.
Private / In DevelopmentView Plateria Site ↗- Ordering
- A branded customer storefront and mobile ordering experience.
- Operations
- Owner and kitchen dashboards for daily restaurant workflows.
- Platform
- API and Supabase-backed architecture with structured onboarding.
- Payments & delivery
- Stripe planning, automated tests, CI safeguards, and AI-assisted workflows.
Next.jsTypeScriptReact Native / ExpoSupabaseStripeRenderAI-assisted workflows
Selected Client Work
A selection of websites built for real clients
Brand-led websites, product presentation, and practical customer pathways.
Additional selected product work
Sneaker IdentifierMobile / Product Project
Swift · SwiftUI · Core ML · VisionTechnical Case Study
AI-Assisted Development Automation
A controlled Claude + Codex workflow I built to keep AI-assisted development safe and predictable across real client and product codebases — review, remediation, and deployment, with a human always at the final checkpoint.
- I defined a deterministic review and remediation workflow with an issue severity taxonomy
- I added explicit authorization gates so AI-proposed changes are never applied without a clear approval boundary
- I added stall detection and normalized CLI adapter outputs so the workflow degrades safely instead of hanging silently
- I wired automated tests, CI checks, and deployment safeguards around every AI-assisted change
ClaudeCodexCLI toolingGitHub Actions / CIAutomated testing
Workflow
- 1
Review
Claude reviews the diff against the codebase's own conventions
- 2
Classify
Findings sorted into a defined issue severity taxonomy
- 3
Authorize
Explicit approval gate — nothing is applied automatically
- 4
Build
Codex proposes the fix inside the authorized scope
- 5
Test
Automated tests run against the change
- 6
Validate
Stall detection and normalized adapter output checks
Capabilities
What I actually do
WebsitesWeb applicationsMobile products
About
From idea to shipped product
I build web applications, mobile apps, software products, APIs, automation systems, and client-facing digital experiences. I enjoy taking ideas from concept and requirements through development, testing, deployment, and iteration.
My work brings together product thinking, practical implementation, and clear communication to create useful, reliable tools people can actually use.
Contact
Let's build something together
I'm based in Boston, MA, USA.
RyanLekuku@yahoo.com+1 617-224-6292