Process - How I work
A closer look at how I take a feature from an idea to something running in production.

Requirements & Planning
Every feature starts with understanding the requirements — reading through specs, mockups, and existing code, and asking questions early when something is ambiguous. On a large product like Mevalim, that often means reviewing designs alongside real production data and existing patterns across the platform.
Once the scope is clear, I break the work into manageable steps and flag dependencies on backend APIs or design decisions early, so the team isn't blocked later in the process.
What this includes
- Reading specs & mockups
- Reviewing existing code & patterns
- Flagging edge cases early
- API & data contract review
- Breaking work into steps
- Aligning with design & backend

Build & Collaborate
I implement the feature with React, Next.js, and TypeScript, keeping components reusable and state predictable with Zustand or Redux depending on the project's existing patterns.
I work closely with backend engineers on API contracts, with QA on test scenarios, and with designers on the finer visual and interaction details — including responsive behaviour and RTL layouts where relevant.
I also use AI-assisted tools like Cursor and Codex as part of my workflow, always reviewing and validating generated code myself before it goes anywhere near production.

Ship & Iterate
Before shipping, I test across devices and edge cases, and coordinate with QA on anything that needs a closer look.
Once a feature is live, I keep an eye on how it performs in production and stay open to feedback from users, teammates, and stakeholders.
I treat shipping as the start of a feedback loop, not the end of the task — refining details, fixing edge cases, and improving performance as needed.
What this includes
- Cross-device testing. Checking layouts and interactions across breakpoints, browsers, and locales, including RTL.
- QA collaboration. Working with QA to cover edge cases and confirm the feature behaves as expected before release.
- Post-launch refinement. Monitoring, fixing issues, and iterating based on real usage and feedback.