Frontend

Shipping an educational lab to a global audience means more than translation strings. Bio-Dynamics adds RTL layout for Persian, keyboard region shortcuts, ARIA live announcements, touch gesture hints, and URL-encoded lab checkpoints so teachers can share a mid-simulation state without a backend. Companion resource Bio-Dynamics: Microbiome Sandbox Try ?lang=fa or copy a lab link after running a scenario — source for i18n and labState.ts is on GitHub. github.com/omidfarhang/example-projects/labs/microbiome-sandbox Open live lab View source on GitHub Lightweight i18n without a framework Locales live in src/i18n/en.ts, de.ts, and fa.ts. A small t() helper resolves dot-path keys with parameter interpolation: ...

The Bio-Dynamics dashboard exposes a lot of buttons: regional stressors, inoculations, environment sliders, and four catalog tabs for strains, prebiotics, postbiotics, and products. The trick is not rendering HTML — it is keeping the catalog honest as content grows. This post explains the data-first layout and the action impact preview panel. Companion resource Bio-Dynamics: Microbiome Sandbox Hover strains and products in the live lab to see impact preview, or browse the catalog TypeScript files on GitHub. github.com/omidfarhang/example-projects/labs/microbiome-sandbox Open live lab View source on GitHub Data catalogs, not hard-coded panels Almost every control maps to a typed catalog under src/data/: ...

Most microbiome diagrams are flat. Bio-Dynamics tries the opposite: a single Three.js scene that starts as a rotatable body map, then animates into a tissue cross-section when you pick a region — with microbe meshes, SCFA particles, and fog density tied to live simulation state. This post covers the visualization layer. Companion source and the full architecture write-up are in the repository. Companion resource Bio-Dynamics: Microbiome Sandbox Open the live lab, zoom into gut or nasal tissue, then inspect the Three.js scene code on GitHub. github.com/omidfarhang/example-projects/labs/microbiome-sandbox Open live lab View source on GitHub One scene, two modes SceneManager owns a single WebGL scene with two interaction modes: ...

Bio-Dynamics is an educational 3D lab, not a clinical simulator. That constraint shaped every decision in the simulation layer: reproducible ticks, scalar tissue state, capped agent counts, and inflammation that emerges from pressure instead of jumping on every button press. This post walks through the engine design. Companion resource Bio-Dynamics: Microbiome Sandbox Run the live lab or inspect the simulation source — tick engine, golden tests, and full docs in the repository. github.com/omidfarhang/example-projects/labs/microbiome-sandbox Open live lab View source on GitHub Why deterministic? Interactive demos fail the educational test when the same button sequence produces different outcomes on refresh. Readers cannot build intuition from noise. ...

I write a lot about Angular platforms, monorepos, and production frontends. Bio-Dynamics is different: a browser-only educational lab where you rotate a 3D body map, zoom into tissue, and run deterministic probiotic scenarios tied to health articles on omid.dev. It started for three reasons — a human one, a developer-story one, and a career one. This post is the anchor for that project. Deeper technical posts follow in a short series linked at the end. ...

Most frontend teams do not have a testing problem because they lack tests. They have a testing problem because nobody can explain why a specific test exists. The result is familiar: hundreds of unit tests that prove implementation details; a few end-to-end tests that fail whenever timing changes; component tests that duplicate what unit tests already cover; slow CI pipelines that people stop trusting; high coverage numbers with very little confidence. This is especially common in large Angular codebases. Angular gives teams a serious testing toolbox: TestBed, standalone components, dependency injection, router testing, HTTP testing utilities, harnesses, and good compatibility with tools like Jest, Vitest, Cypress, and Playwright. The tooling is not the hard part. ...

Flaky tests are worse than failing tests. A failing test tells the team something broke. A flaky test teaches the team to negotiate with reality: “Run it again.” “CI is weird today.” “It passes locally.” “That test always fails on Mondays.” “Merge it, the failure is unrelated.” That is how a test suite loses authority. The first few flakes feel harmless. Then people stop reading failures carefully. Then a real regression hides inside the noise. ...

Open almost any mature Angular screen and you will find the same shape: 1 2 3 4 5 loading = false; error: string | null = null; data: Account[] | null = null; retrying = false; submitted = false; The template then becomes a negotiation: 1 2 3 4 5 6 7 8 9 @if (loading) { <app-spinner /> } @else if (error) { <app-error [message]="error" /> } @else if (!data?.length) { <app-empty-state /> } @else { <account-table [rows]="data!" /> } This looks fine. It ships. It passes review. And then production teaches you that the screen was never modeled as one thing. It was modeled as five independent switches that sometimes agree and sometimes do not. ...

One thing I have always found frustrating in technical writing is the gap between a nice explanation and code you can actually explore. A post can explain an idea clearly, but if the code is only a few isolated snippets, the reader still has to imagine the project around it. Where does this file live? What package versions were used? How do the pieces connect? Can I run it, or is it only illustrative? ...

Angular has always had a complicated relationship with tooling. People call it “heavy” when they want something lighter, but that same weight is often what helps large teams keep moving without reinventing the architecture every sprint. That is why Angular’s MCP server work in the Angular 21 cycle is more interesting than another code-generation headline. This is not just “AI can write Angular now.” AI could already write Angular, often badly. The real question is whether Angular can give AI tools enough project-aware context to stop generating outdated, half-remembered patterns. ...