Discovery
Step 01: Align goals, define the product scope, and create a shared roadmap before engineering begins.
Support & maintenance
Softrious provides ongoing support and maintenance for web and mobile apps, custom software, and AI systems—including software we didn’t build. Forward Deployed Engineers stay close to your team and users, so issues are understood in context, fixed quickly, and turned into lasting improvements.
What’s included
Low-cost, ongoing support and maintenance for your websites, mobile apps, and software—led by Forward Deployed Engineers who know your product and work alongside your team.
Who it’s for
Softrious works with startups and growing businesses. This service is a good fit for:
Process
Every engagement moves through discovery, design, and engineering with clear milestones and visible progress.
Step 01: Align goals, define the product scope, and create a shared roadmap before engineering begins.
Step 02: Create a polished interface system, validate flows, and define the experience before code.
Step 03: Build with clear milestones, visible progress, and maintainable code from day one.
AI-accelerated delivery
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.
Typical project timelines
Weeks from kick-off to launch
Marketing website
Design, build, CMS, and launch
Cross-platform MVP app
React Native or Flutter, iOS + Android
Custom web platform
Accounts, dashboards, integrations
Native iOS + Android apps
Swift and Kotlin, two codebases
| Project | Traditional | AI-assisted | Time saved |
|---|---|---|---|
| Marketing website | 8 wks | 3 wks | 63% |
| Cross-platform MVP app | 16 wks | 6 wks | 63% |
| Custom web platform | 24 wks | 9 wks | 63% |
| Native iOS + Android apps | 28 wks | 11 wks | 61% |
Where the time goes
Cross-platform MVP app · 16 weeks → 6 weeks
| Phase | Traditional | AI-assisted | How AI helps |
|---|---|---|---|
| Discovery | 2 wks | 0.75 wks | AI summarises research and drafts specs |
| Design | 3 wks | 1 wks | Stitch turns flows into first UI drafts |
| Build | 8 wks | 3 wks | Cursor, Claude Code, and Antigravity |
| Testing | 2 wks | 0.75 wks | AI-written tests run on every change |
| Launch | 1 wks | 0.5 wks | Automated release checklists |
We pick the right tool for each stage—and every AI-generated change is read, tested, and approved by an engineer before it ships.
AI code editor
Our day-to-day editor: codebase-aware completions, multi-file edits, and fast refactors across web and mobile projects.
Agentic coding by Anthropic
Plans and carries out larger changes from the terminal—features, migrations, upgrades, and the tests that cover them.
Agent-first development platform
Runs coding agents across the editor, terminal, and browser to build features and check them in a real browser.
AI UI design
Generates first UI drafts from flows and prompts, which our designers refine in Figma into a polished design system.
Testing used to be the slowest, most skipped step. Now AI writes and maintains the tests alongside the code, so every change is checked automatically—before a release and long after launch.
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.
Support & maintenance · FDEs
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.
Support & maintenance, sped up
The same work your FDE does each month, with and without AI
Typical bug-fix turnaround
6×faster
AI traces the cause; your FDE fixes and ships it
Regression testing per release
32×faster
Automated suites replace manual click-through
OS & framework upgrade
5×faster
Agents handle the bulk of the migration
| Task | Traditional | AI-assisted |
|---|---|---|
| Typical bug-fix turnaround | 48 hours | 8 hours |
| Regression testing per release | 16 hours | 0.5 hours |
| OS & framework upgrade | 5 days | 1 days |
Indicative ranges from our planning model, not client results. Every project’s timeline is confirmed in discovery.
Explore support & maintenanceFAQs
Yes. We start with a technical review of the codebase, infrastructure, and documentation, agree on priorities, and then take over support and maintenance with a Forward Deployed Engineer who gets to know the system and your team.
A Forward Deployed Engineer works directly with your team and users rather than from a distant ticket queue. They triage and fix issues with full context, keep the system updated, spot recurring problems, and turn them into improvements.
Yes. AI systems need ongoing care: evaluating answers against real examples, tuning prompts and retrieval, watching costs, and reviewing guardrails. This is part of our support for any AI feature we run.
Support runs on low, fixed monthly plans sized to your product—how many apps, how critical they are, and the hours of FDE time you need. It typically costs far less than hiring a full-time engineer, and you can scale up or down month to month. Book a call for a quote.
Response times, coverage hours, and priorities are agreed with you up front based on how critical the system is, and written into the support plan.
Yes. We start with a technical review of the codebase, infrastructure, and documentation, agree on priorities, and then take over support and maintenance with a Forward Deployed Engineer who gets to know the system and your team.
A Forward Deployed Engineer works directly with your team and users rather than from a distant ticket queue. They triage and fix issues with full context, keep the system updated, spot recurring problems, and turn them into improvements.
Yes. AI systems need ongoing care: evaluating answers against real examples, tuning prompts and retrieval, watching costs, and reviewing guardrails. This is part of our support for any AI feature we run.
Support runs on low, fixed monthly plans sized to your product—how many apps, how critical they are, and the hours of FDE time you need. It typically costs far less than hiring a full-time engineer, and you can scale up or down month to month. Book a call for a quote.
Response times, coverage hours, and priorities are agreed with you up front based on how critical the system is, and written into the support plan.
Let’s talk
Tell us about your goals, timeline, and product ambitions. We’ll help you shape the right next step.
What happens next