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SoftRious

AI-accelerated delivery

Shorter timelines, engineers still in charge.

AI now writes, reviews, and tests much of the routine code, so custom software ships sooner and maintenance costs less. Our engineers stay in charge of every decision, review, and release.

At a glance

The same projects, in fewer weeks.

These are planning ranges from our delivery model. Every project’s timeline is confirmed in discovery.

  • Marketing website

    Design, build, CMS, and launch

    Traditional8 weeksAI-assisted3 wks

  • Cross-platform MVP app

    React Native or Flutter, iOS + Android

    Traditional16 weeksAI-assisted6 wks

  • Custom web platform

    Accounts, dashboards, integrations

    Traditional24 weeksAI-assisted9 wks

  • Native iOS + Android apps

    Swift and Kotlin, two codebases

    Traditional28 weeksAI-assisted11 wks

How the weeks break down

Where the time goes, and where it comes back.

Kick-off to launch for typical builds, then the phases inside a cross-platform MVP.

Typical project timelines

Weeks from kick-off to launch

  • Traditional
  • AI-assisted
  • Marketing website

    Design, build, CMS, and launch

    Marketing website · Traditional: 8 weeks8 wksMarketing website · AI-assisted: 3 weeks3 wks
    −63%
  • Cross-platform MVP app

    React Native or Flutter, iOS + Android

    Cross-platform MVP app · Traditional: 16 weeks16 wksCross-platform MVP app · AI-assisted: 6 weeks6 wks
    −63%
  • Custom web platform

    Accounts, dashboards, integrations

    Custom web platform · Traditional: 24 weeks24 wksCustom web platform · AI-assisted: 9 weeks9 wks
    −63%
  • Native iOS + Android apps

    Swift and Kotlin, two codebases

    Native iOS + Android apps · Traditional: 28 weeks28 wksNative iOS + Android apps · AI-assisted: 11 weeks11 wks
    −61%
View as table
ProjectTraditionalAI-assistedTime saved
Marketing website8 wks3 wks63%
Cross-platform MVP app16 wks6 wks63%
Custom web platform24 wks9 wks63%
Native iOS + Android apps28 wks11 wks61%

Where the time goes

Cross-platform MVP app · 16 weeks → 6 weeks

  • Traditional
  • AI-assisted
Traditional
DDiscovery: 2 wksDDesign: 3 wksBuildBuild: 8 wksTTesting: 2 wksLLaunch: 1 wks
AI-assisted
DDiscovery: 0.75 wksDDesign: 1 wksBBuild: 3 wksTTesting: 0.75 wksLLaunch: 0.5 wks10 weeks saved
  • DiscoveryAI summarises research and drafts specs
  • DesignStitch turns flows into first UI drafts
  • BuildCursor, Claude Code, and Antigravity
  • TestingAI-written tests run on every change
  • LaunchAutomated release checklists
View as table
PhaseTraditionalAI-assistedHow AI helps
Discovery2 wks0.75 wksAI summarises research and drafts specs
Design3 wks1 wksStitch turns flows into first UI drafts
Build8 wks3 wksCursor, Claude Code, and Antigravity
Testing2 wks0.75 wksAI-written tests run on every change
Launch1 wks0.5 wksAutomated release checklists

Indicative ranges from our planning model, not client results. Every project’s timeline is confirmed in discovery.

The workflow

The AI tools in our workflow.

We pick the right tool for each stage. Every AI-generated change is read, tested, and approved by an engineer before it ships.

  • Build

    Cursor

    AI code editor

    Our day-to-day editor: codebase-aware completions, multi-file edits, and fast refactors across web and mobile projects.

  • Build & test

    Claude Code

    Agentic coding by Anthropic

    Plans and carries out larger changes from the terminal—features, migrations, upgrades, and the tests that cover them.

  • Build & verify

    Google Antigravity

    Agent-first development platform

    Runs coding agents across the editor, terminal, and browser to build features and check them in a real browser.

  • Design

    Google Stitch

    AI UI design

    Generates first UI drafts from flows and prompts, which our designers refine in Figma into a polished design system.

Testing

Every change is checked before it ships.

Testing used to be the slowest, most skipped step. AI now writes and maintains the tests alongside the code, so every pull request is checked on web and mobile before a release—and long after launch. An engineer still reviews the result and approves what goes live.

  1. Write code
  2. AI drafts tests
  3. CI runs suites
  4. Visual checks
  5. Engineer approves
  6. Release

Every PR

Full suite runs

Web + mobile

End-to-end flows

100%

Releases reviewed

  • Tests written with the code

    AI agents draft unit and integration tests for every feature, and engineers review them like any other code.

  • End-to-end user journeys

    Sign-up, checkout, and booking flows run automatically on web (Playwright) and mobile (Maestro).

  • Visual regression checks

    Screens are compared on each change, so layout and style breaks are caught before users see them.

  • Runs on every change

    The full suite runs in CI on every pull request and before every app-store or web release.

  • Self-updating test suites

    When the UI changes on purpose, AI updates affected tests and flags them for review—no stale suites.

  • Human sign-off

    AI speeds testing up; an engineer still owns the result and approves every release.

After launch

Support stays fast, and the monthly cost stays low.

A Forward Deployed Engineer keeps the product running. AI shortens the same maintenance work.

Support & maintenance · FDEs

More done every month—for a low, fixed price.

AI multiplies what one Forward Deployed Engineer can do. You get senior, embedded support for your website and apps at a fraction of a full-time hire.

  • A dedicated Forward Deployed Engineer who knows your product
  • AI-assisted triage, fixes, and upgrades—so more gets done each month
  • Automated tests on every release to prevent regressions
  • Low, fixed monthly plans; scale up or down any month

Support & maintenance, sped up

The same work your FDE does each month, with and without AI

  • Traditional
  • AI-assisted
  • Typical bug-fix turnaround

    6×faster

    Traditional: 48 hours48 hAI-assisted: 8 hours8 h

    AI traces the cause; your FDE fixes and ships it

  • Regression testing per release

    32×faster

    Traditional: 16 hours16 hAI-assisted: 0.5 hours0.5 h

    Automated suites replace manual click-through

  • OS & framework upgrade

    5×faster

    Traditional: 5 days5 dAI-assisted: 1 days1 d

    Agents handle the bulk of the migration

View as table
TaskTraditionalAI-assisted
Typical bug-fix turnaround48 hours8 hours
Regression testing per release16 hours0.5 hours
OS & framework upgrade5 days1 days

Let’s talk

See what AI-accelerated delivery looks like for your project.

Tell us the product you want to ship. We’ll map a timeline and the team that fits.

What happens next

  1. 1Tell us what you needA few sentences about the product, the problem, or the team you want.
  2. 2A short intro callWe talk through the work, the timeline, and who should be involved.
  3. 3A clear plan and proposalScope, team, and cost in writing—so you can decide with confidence.