Engineering

AI gets you 80%. We are the ones who finish the last 20%.

That last twenty percent is where products get judged: the empty states, the permissions, the table that has to hold 400 rows, the chart that has to be right. We build the front end of security and enterprise products to production standard, in your repo, alongside your team.

What we do

Front-end engineering in your language

React, Vue, Angular, and Svelte. We build in the framework your team already runs, matched to your patterns and conventions. Typed, tested, and reviewed, so the code reads like your team wrote it, not handed over as a pile.

Data visualization

Dense charting, timelines, and graph views for products where the data is the value. We wrote and maintain reaviz, the open-source charting library a lot of this industry already uses.

Design system implementation

Tokens and components in code, documented, so the fifth table looks like the first and nobody re-decides a modal.

Prototype to production

The AI-generated or rough version, taken to something you can ship: real state, real permissions, real error paths.

Performance and accessibility

Render budgets under real data volume, keyboard paths, and the enterprise accessibility answers your buyers ask for in security review.

Ship and hand back

Merged, documented, and handed to your engineers, or we stay on the workstream. Your call, not a default.

How it runs

From first commit to production in ten days.

Scope is set before day one, so two weeks is a commitment rather than an estimate. Larger surfaces run as consecutive sprints, one problem each.

01 · Days 1–2

Wire in

Repo access, CI, environments, and the ticket list. We read the code before we write any.

You: access and one kickoff, 60 min

02 · Days 3–8

Build

Components and screens in your stack, opened as normal PRs against your branch strategy.

You: review PRs when it suits you

03 · Day 9

Harden

Edges, error paths, empty states, keyboard, and performance under real data volume.

You: nothing new; QA with us if you want

04 · Day 10

Ship

Merged, documented, walked through with your engineers so they can maintain it.

You: one handoff session, 60 min

Total from your side: about three hours plus normal PR review. We work inside your process rather than beside it.

You get: merged code in your repo · components documented against your design system · tests at the level your repo already holds · a performance and accessibility pass · a handoff session. You own all of it. There is no license, no wrapper, and nothing to unwind if we stop.

Where we come in

Products arrive in one of three states.

Almost every engagement starts as one of these. If you recognize yours, the first sprint more or less scopes itself.

State 01

The prototype that demos and will not ship

Built fast, often by AI or one heroic engineer over a weekend. It works on the happy path with twelve records, then falls over on permissions, real volume, or anything a user does out of order.

What we doRead it before we touch it, tell you honestly what survives, and rebuild the rest against real state and real error paths.

You know it is this one when: the demo tenant is the only one anyone opens.

State 02

The design system that only exists in Figma

Tokens and components were designed, agreed, and never implemented. Every sprint your engineers re-decide a table, a modal, and a filter, and every screen drifts a little further from the last.

What we doPut it in code with documentation your team will actually use, so it stops being a debate and starts being a default.

You know it is this one when: two screens built the same month look unrelated.

State 03

The view that dies at customer scale

Fine in the demo tenant, unusable for the customer with 400,000 events. That customer is also your largest account. Usually a rendering problem wearing a data problem’s clothes.

What we doProfile it at your real volume, then fix the layer that is actually costing you rather than the one that looks guilty.

You know it is this one when: support has a workaround for your biggest customer.

The alternative

GoodCode, or build it in-house.

The real comparison is not us against another studio. It is us against a headcount you carry all year, before a single thing ships.

GoodCode
Fast startProjects start within two weeks.
Proven expertiseA senior, cybersecurity-native team from day one with zero ramp-up.
Predictable costA fixed fee per sprint, agreed before we start.
Built-in flexibilityScale up or down, cancel anytime, Net-15 billing.
Fully integratedProject management, Slack, and tool access included.
Building in-house
Delayed start3–6 months to hire an engineer, before work begins.
Expertise gapMight not have cybersecurity specialization on day one.
Talent costA senior front-end engineer runs $200–300k/year.
Added overheadBenefits, management, and tooling: +20–30%.
Rising total$260k–$390k/year loaded, before a line ships.
Execution riskIf it does not work out: severance, then restart hiring.
In their words

Two clients on the work.

On the code
If coding is an art, then Good Code is the Salvador Dali. Austin leads a diverse team of top-notch coders and designers capable of handling even the most complex projects — and they let us focus on the backend and the technologies that give us our competitive edge.
Can YildizliBoard of Directors, Prodaft
On the pace
Our only regret with Good Code is that we didn’t engage them sooner. High-quality designs, blazing-fast implementation speed, and an all-round great bunch of people who really understand the domain.
Steve MicallefVP of Engineering, Intel 471
FAQ

Direct answers.

01

Do you work in our repo, or hand over a zip?

Your repo, your branch strategy, your CI, normal pull requests reviewed by your team. Nothing is developed somewhere else and dropped on you at the end.

02

What stack do you work in?

React and TypeScript most often, with Next.js when the product calls for it, and Vue, Angular, or Svelte when that is what your team runs. We match the patterns your codebase already holds rather than importing our own, and deploy wherever you already deploy.

03

Can you take over code an AI wrote?

Yes, and it is most of what we do now. We read it first, tell you what is salvageable, and rebuild the parts that will not survive real state, real permissions, or real data volume.

04

Do you do back-end work, or just front-end?

We focus on the front end: the UI, client state, the data-fetching layer, and the integration against your APIs. We are not your back-end or infrastructure team; we build the surface and wire it to what your engineers own.

05

We have our own engineers. Where do you fit?

Your team keeps the domain logic, the part only they can write. We take the surface work that keeps getting bumped for it. In practice that means we are additive capacity on a defined workstream, not a second opinion sitting in your standups.

06

Who owns the code?

You do, from the first commit. It is in your repo under your license with no dependency on us to keep running.

07

Do you do design too?

Yes. When design and build are bundled, the design work comes at a reduced rate. Nothing gets lost in handoff because there is no handoff.