JONATHAN/B
AI-assisted product engineering

Jonathan Benn builds production apps with agentic workflows baked in.

I lead mobile and full-stack builds across customer apps, internal operations, video software, and agent tooling. The through line is simple: clearer systems, faster shipping, and products that keep working after launch.

See Case StudiesBrowse WorkView Resume
Mobile leadiOS, Android, Expo, App Store releases
Agentic systemsCodex, Claude Code, workflow design
Ops productsFulfillment, inventory, support queues
Media depthSwift, Metal, AVFoundation, realtime video
Jonathan Benn
Current focusleading mobile builds and agent-enabled product operations
Vantaview preview
Realtime video SaaSVantaview
Blackcrab preview
Agent command centerBlackcrab
Muha Members preview
Warehouse fulfillmentMuha Members
ScopePrototypeShipInstrument
About

Mobile ownership, full-stack range, and agent-era shipping habits.

I am a full-stack engineer with 6+ years of experience designing and deploying scalable web, mobile, and desktop applications. I currently lead mobile development for production iOS and Android apps, working across architecture, Firebase and AWS-backed infrastructure, release workflows, code review, QA, and product collaboration.

The thing I keep coming back to: software is strongest when the interface, data model, operations path, and release loop are designed together.

Product first

Start with the user path, the business pressure, and the smallest useful version that can teach the next move.

Agents with guardrails

Use Codex and Claude Code for leverage while keeping architecture, code review, QA, and release judgment human-owned.

Operational polish

Design for the people running the system: queues, exceptions, telemetry, support recovery, and clear handoffs.

Build flow

How I move from idea to shipped product

  1. 01Map the workflow
  2. 02Prototype the surface
  3. 03Build the data path
  4. 04Instrument the release
  5. 05Tighten from feedback
Stack

What I work with

  • LanguagesTypeScript, JavaScript, Python, Swift, SQL, PostgreSQL, HTML/CSS
  • MobileReact Native, Expo, iOS, Android, App Store, Google Play
  • FrontendReact, Next.js, Angular v10+, TailwindCSS, responsive UI systems
  • Backend & APIsNode.js, Express, Flask, RESTful APIs, Swagger/OpenAPI, SQL Alchemy
  • Cloud & DataFirebase, Supabase, AWS Lambda, MongoDB, PostgreSQL, Cloud Storage
  • Engineering ToolsGit, GitHub, CI/CD pipelines, Figma, Claude Code, Codex, RAG pipelines
  • PracticesAgile, TDD, OOP, code review, release management, QA workflows
Agentic workflow case studies

Proof that AI belongs inside the build process, not just the headline.

These are the places where agents actually help: tracing edge cases, keeping context alive, tightening release paths, and turning messy operating work into software people can trust.

Real workflows, not mock demosAgents used for speed, review, and operational memoryInterfaces built around the people running the product
More shipped work

Additional products, client builds, and release-ready interfaces.

The deep-dive projects above show the agentic workflow story. This section keeps the broader portfolio easy to scan without repeating the same cards.

5 shipped projectsMobile, web, desktopCloud, media, AI, ops
Contact

Need a builder who can own the product path and the engineering details?

I am especially useful when the work spans interface, data, release, and operations. Send the messy version of the idea and I will help turn it into a plan.

Mobile app buildoutAI workflow prototypeOperational dashboardLaunch and release cleanup
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