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10 bus. days
To start
From a signed scope
100%
Code and infra
Yours from the first commit
Every sprint
A working build
On a preview URL, not a deck
Fixed scope
Agreed before we build
No surprise change orders
What we build
What counts as an application, and why the category matters
A brochure site and an application get quoted, staffed, and maintained differently, because one of them holds data and the other doesn't. Knowing which one you're actually asking for changes the scope before a single screen is designed.
Customer-facing web applications
Account areas, booking flows, dashboards, self-service tools — anything a customer logs into and expects to keep working the way it did last time. These carry the highest bar for reliability, because a bug here is a support ticket, not just a typo someone shrugs off.
Internal tools and admin panels
The tool your team actually uses all day: order management, an internal CRM, an approvals queue. Lower design polish is usually the right trade here — the return is on removing the spreadsheet and the copy-paste error it invites, not on visual flourish nobody outside the company will see.
Customer and partner portals
A scoped view into your systems for people outside your company — a client status tracker, a vendor upload portal, a franchisee dashboard. The hard part is rarely the UI; it's getting permissions right so each account sees exactly its own data and nothing else.
Ecommerce and transactional platforms
Anywhere money or inventory changes hands. This is where edge cases stop being theoretical — a payment that fails halfway through, a stock count that goes negative, a refund that has to reconcile against an order that was already shipped.
Progressive web apps
An installable, offline-capable app built on web technology instead of two native codebases. The right call when you want an app-like experience without app store review, resubmission cycles, and a second engineering track for iOS and Android.
Enterprise and line-of-business systems
Software built around a specific internal process — claims handling, scheduling, compliance tracking — that off-the-shelf software makes you distort your process to fit. This is also where SSO, audit trails, and role-based permissions stop being optional and start being what procurement asks about first.
What makes it succeed
The decisions that actually determine whether an app succeeds
None of these show up in a wireframe. All of them show up in the first month of real use, usually as a support ticket or a workaround someone starts doing by hand because the software didn't account for it.
A specific problem, not a vision statement
"Improve efficiency" doesn't scope a build. "Cut the time it takes to approve a change order from three days to same-day" does. The apps that stall in development are almost always the ones where nobody wrote down the second version before development started.
Accessibility is a requirement, not a feature request
Keyboard navigation, screen-reader labels, and contrast that actually passes WCAG aren't a checklist you run at the end — retrofitting them into a UI built without them in mind is close to a rebuild of the interface layer. It's cheaper to build correctly from the first component than to audit and patch later, and it's a real legal exposure for public-facing tools if you skip it.
Usability gets tested with real users, not assumed
The person who built a screen is the worst judge of whether it's intuitive, because they already know where everything is. A five-minute session with someone who has never seen the tool finds more real problems than a week of internal review.
Consistent functionality means automated tests, not manual spot-checks
"It worked when I clicked through it" is not the same claim as "it's covered by a test that runs on every deploy." The first one degrades silently the moment someone touches adjacent code; the second one catches the regression before it ships.
Security is a design constraint, not a pre-launch scan
Where user data lives, who can see it, and how access is revoked when someone leaves the company need to be decided while the data model is being designed — not patched in after a client's security review asks the question. A schema built without that in mind usually needs real rework, not a config change, to fix.
Regular updates are a budget line, not a surprise
Dependencies age, browsers change their defaults, and a library with a known vulnerability doesn't wait for a convenient sprint to matter. An app with no maintenance plan degrades even if nobody touches a single feature — it just takes longer for that to become visible.
What it costs
Application development engagements
The variable that moves a quote is rarely screen count. It's how many systems the app has to agree with, how much of the data model is genuinely novel versus a known pattern, and whether the workflow has exceptions nobody wrote down yet.
| Engagement | Commitment | Timeline | What's included |
|---|---|---|---|
| Discovery and scoping sprint | Fixed scope | 1 – 2 weeks | Requirements, data model, and a real estimate for the build — credited toward the project if you move forward with us. |
| New web application build | Fixed scope | 8 – 16 weeks | A production application from data model through deployment, including authentication, core workflows, and the admin tooling to run it day to day. |
| Internal tool or admin panel | Fixed scope | 4 – 8 weeks | A focused internal build — one workflow, one team, replacing a spreadsheet or manual process with something the whole team can trust. |
| Modernization or re-platform | Fixed scope | 6 – 14 weeks | Migrating a legacy application to a current stack without a full rewrite — usually the harder project, because the existing app's undocumented behavior is the actual spec. |
| Ongoing support and feature work | Ongoing retainer | Ongoing | Bug fixes, dependency updates, and new features after launch, sized to how actively the application keeps changing. |
Ranges assume US-based senior engineers and include QA and documentation rather than quoting them as an add-on. A quote well under these bands is usually missing one of those, and it tends to resurface later as a change order once the gap becomes visible in production.
The stack decision
Choosing the stack, and why it isn't the first decision
The framework gets picked after the workflow is understood, not before. A stack chosen because it's trending, rather than because it fits your team and your data, is the single most common source of a rewrite eighteen months in.
Server-rendered vs. single-page
Next.js, Rails, and Django render pages on the server, which wins on initial load speed and search visibility — the right default for anything public-facing or content-heavy. A single-page app built with client-side routing wins when the interface is dense and interaction-heavy, like a dashboard someone lives in for hours, where the round trips a server-rendered app makes start to cost real time.
Relational vs. document databases
Postgres or MySQL when your data has real relationships and you need transactional guarantees — most business applications. A document store like MongoDB earns its place when the data is genuinely unstructured or the schema changes faster than a migration workflow can keep up with, which is rarer than the pitch for it suggests.
Monolith vs. services, decided by team size
A single well-organized codebase is faster to build, easier to debug, and the right call for most applications and most teams. Splitting into services buys independent deployment and scaling at the cost of network calls and operational overhead — worth it once a team is large enough that stepping on each other in one codebase is the actual bottleneck, not before.
The framework should match who maintains it after us
If your engineers already know React and Node, building in Elixir because it's technically elegant creates a maintenance problem the day we hand the project back. The best technology choice is the one your team can actually own.
Integrations decide more of the architecture than the UI does
An app that has to reconcile in real time with three other systems needs a different data layer than one that's mostly self-contained. Map the integrations before the schema, not after.
Build vs. extend an existing platform
Sometimes the honest recommendation is a plugin or extension on a platform you already run — Shopify, Salesforce, WordPress — rather than a fully custom build. We'll say so when it's the faster, cheaper path to the same outcome, and scope the custom build for the part that platform genuinely can't do.
How an engagement runs
From a workflow on paper to a shipped application
Discovery turns your process into a real data model and a prioritized backlog before any UI is built. From there, delivery runs on a two-week cadence — a working build on a preview URL every sprint, not a status update describing one, so the first time you see the finished product isn't the day it ships.
Related
Related services
Adjacent decisions most application projects end up making.
Questions
Common questions about application development
What teams ask before a first call.
A website mostly delivers information — pages, content, a contact form. A web application holds state: it remembers who you are, stores data tied to your account, and lets you take actions that change something. That distinction changes how it's built, tested, and maintained, and it's usually the first thing we clarify on a scoping call, because the two get quoted very differently.
It's driven by how many systems the app has to integrate with, how much of the data model is genuinely new versus a known pattern, and how many roles or permission levels it needs — not by screen count. A discovery sprint is the fastest way to get a real number, because it answers those questions before anyone quotes the rest.
A quote that arrives before those questions are asked is usually a placeholder, not an estimate.
If the job is to display information, take a form, or run inside a browser people already have open, a web application does it without app store review or two codebases. Reach for a native or React Native build when the work genuinely needs a device capability — the camera, offline access, push notifications — that a browser can't provide.
Many products end up as both eventually. Sequencing which one comes first is part of the scoping conversation, not a decision to make alone before that call.
Yes. The repository lives in your organization's account from the first commit, and cloud infrastructure is provisioned under your accounts, with us added as collaborators rather than owners. That's the only arrangement that doesn't lock you to us to deploy a fix or move to another team later.
Access control and data boundaries get designed into the schema up front, not patched in before launch. Dependency scanning, secrets management, and least-privilege access are standard on every build, and we'll scope specific compliance work — SOC 2 alignment, HIPAA-relevant handling, and similar — when your data actually requires it.
The initial build covers the application through launch and a stabilization window; ongoing maintenance is a separate retainer sized to how actively the app keeps changing. Skipping that budget doesn't remove the cost of aging dependencies and drifting browser behavior — it just defers it to the week something breaks in production.
Yes — most application builds include at least one integration with an existing system: a CRM, an accounting platform, an identity provider, a payment processor. We build clean API integrations rather than routing everything through brittle, one-off scripts, which is usually the difference between an integration that survives the next platform update and one that doesn't.
A focused internal tool can ship in four to eight weeks. A full customer-facing application with several core workflows more typically runs eight to sixteen weeks. The number that actually matters is the discovery sprint's estimate, because it accounts for your specific integrations and edge cases rather than a generic range.