Ship Features
40–60% Faster
Powered by AI
We build web and mobile applications using AI-powered development tools — GitHub Copilot, Cursor, Claude — that accelerate every phase from prototyping to production. Faster, better, and with security built into every step.
SaaS Platforms
Retention Rate
Globally
Developers
Your Development Timeline Is Your
Biggest Competitive Disadvantage
Every CTO faces the same friction. Here's what changes when AI enters the workflow.
AI-Powered Development: The Tools
That Make Us 40–60% Faster
We use the same AI tools Silicon Valley engineers use — combined with 18 years of platform expertise and security practices built into every workflow.
AI-Assisted Coding
GitHub Copilot and Cursor suggest entire functions as developers type — accelerating the repetitive parts so engineers focus on architecture and business logic, not boilerplate.
- 40–50% reduction in initial coding time
- Fewer syntax errors and typos in every commit
- More time on architecture, less on boilerplate
- Consistent coding patterns enforced across the team
AI Code Review & Bug Detection
AI reviews every pull request for bugs, vulnerabilities, and performance issues — catching edge cases human reviewers miss and enforcing coding standards automatically.
- 60% fewer bugs reach production
- Code review cycles in hours, not days
- Comprehensive security scanning on every PR
- Consistent code quality across the entire team
Automated Test Generation
AI writes unit, integration, and end-to-end tests based on code structure — maintaining coverage as the codebase evolves and systematically covering edge cases that manual writers miss.
- 70% faster test writing vs. manual
- 80%+ test coverage vs. 50–60% typical manual
- Edge cases covered automatically before production
- Confidence to refactor without regression fear
Instant Documentation
AI generates inline code comments, API documentation, and README files automatically — keeping documentation current without adding developer overhead to every sprint.
- 80% faster documentation generation
- Always up-to-date — regenerated on every change
- Onboard new developers 3× faster
- Better knowledge transfer at end of engagements
Rapid Prototyping & Scaffolding
AI generates entire UI components from text descriptions, scaffolds APIs and database schemas, and builds boilerplate project structures in minutes rather than days.
- Prototypes ready in hours, not days
- 60% faster design-to-code iteration
- More stakeholder feedback before committing to code
- Reduced risk of building the wrong features
AI-Assisted Security & Code Integrity
Security is embedded in every step of our workflow — not a final checklist. AI tools actively scan for vulnerabilities and data handling risks on every pull request, before code reaches staging.
- Automated vulnerability scanning on every PR — SQL injection, XSS, exposed secrets
- Dependency security checks — known CVEs flagged before production
- Hardcoded credentials and API keys blocked automatically
- Least-privilege data access patterns enforced throughout
- OWASP Top 10 compliance checks on sensitive projects
Why CTOs Choose Hireplicity
for AI-Powered Development
We've been using AI development tools since 2024. Our Senior Software Engineers are trained on GitHub Copilot, Cursor, and Claude. This isn't an experiment — it's how we build.
AI accelerates, humans architect. We combine 18+ years of SaaS development expertise with AI tools — amplifying judgment, not replacing it.
We show you exactly which AI tools we use and how. No black boxes. You get all the code, all the process, and full visibility into our AI-assisted workflows.
Philippine talent costs 40–60% less than US/EU. AI makes us 40–60% faster. Combined: deliver features at a fraction of traditional cost and timeline.
AI catches bugs humans miss. Generates comprehensive tests. Enforces best practices. Result: higher quality code, delivered faster than you expect.
Every PR auto-scanned. Client data never passed to AI without approval. Formal tool approval process. Compliance-aware review for regulated industries.
How We Build Your Product
Using AI at Every Step
Five phases. AI embedded throughout. Security verified at each gate.
We start by understanding your product goals and technical requirements — then AI helps us get there faster.
- AI analyzes requirements and surfaces missing edge cases
- Auto-generates user stories from stakeholder conversations
- AI estimates scope from similar past projects
- Creates preliminary architecture diagrams
Interactive prototypes in hours rather than days — giving stakeholders something real to react to, faster.
- AI generates UI components from text descriptions
- Interactive prototypes ready in hours, not days
- Rapid iteration based on stakeholder feedback
- AI suggests UX improvements from best practices
This is where AI acceleration is most visible — developers move significantly faster without sacrificing quality.
- GitHub Copilot and Cursor suggest code as developers type
- Automated code review catches bugs and security issues
- AI generates tests for every function written
- Real-time documentation updates alongside code
Every release undergoes rigorous QA — with AI-generated test suites, accessibility checks, and security validation.
- AI-generated test suites: unit, integration, and E2E
- Automated edge case detection across all code paths
- WCAG accessibility and security compliance checks
- Performance testing and optimization recommendations
We adapt as you grow — providing long-term engineering support and AI-assisted performance monitoring after launch.
- AI monitors production for anomalies and regressions
- Auto-generates deployment and runbook documentation
- Predictive bug detection before users notice issues
- Documentation stays current as codebase evolves
Your Code, Your Data, Your IP —
Protected at Every Step
Handing your codebase to an offshore team raises real questions. Here's exactly how we protect what you build — and what your users trust you with.
- Before any AI tool touches your project, you approve it. We provide a formal list with data policies — you approve or reject each one.
- Client code, API keys, and PII are never passed to AI tools without explicit written approval.
- For regulated projects: only enterprise-tier tools with no-training agreements are permitted on sensitive codebases.
- Client compliance requirements always take precedence over our preferred tooling choices.
- Every PR automatically scanned before human review — SQL injection, XSS, exposed secrets, insecure dependencies.
- Hardcoded API keys and credentials flagged and blocked before commit.
- Dependency vulnerability scanning on every build — known CVEs caught before production.
- OWASP Top 10 compliance checks and penetration testing available for sensitive projects.
- Development environments never contain production data. Synthetic or anonymized test data throughout the lifecycle.
- Each developer accesses only what their role requires — no shared credentials, no over-privileged accounts.
- All client data handled under a signed NDA and data processing agreement before work begins.
- We do not retain client code or data beyond the engagement without written authorization.
- EdTech: FERPA-compliant data architecture, COPPA user flows, WCAG 2.1 AA on every UI component.
- HealthTech: HIPAA-aligned access controls, audit logging, encryption at rest and in transit.
- GovTech: Section 508 / WCAG accessibility, government data handling standards.
- Compliance requirements documented and verified at each phase gate throughout the project.
We go deeper where compliance isn't optional — three verticals where our expertise extends beyond development speed.
Student data under strict access controls. WCAG 2.1 AA on every UI component. Deep LTI, OneRoster, and SCORM integration experience. No AI tool processes student PII without approval.
HIPAA-aligned data architecture with PHI handling, audit logging, and breach notification readiness. Enterprise-tier AI tools with HIPAA-eligible data agreements only.
Government-facing accessibility compliance. Data residency and retention policies. AI tools reviewed against agency-specific governance requirements.
The Metrics Behind
AI-Powered Development
Speed and quality outcomes across our AI-assisted project delivery.
Speed MetricsAI-Powered Development for
Any Software Project
Web apps, mobile apps, APIs, dashboards — if it involves code, we can build it faster and more securely with AI.
SaaS dashboards, admin panels, customer portals, e-commerce platforms — built faster with AI-assisted scaffolding and component generation.
iOS native, Android native, React Native, Flutter — with AI-generated UI components and cross-platform code reuse.
REST, GraphQL, microservices, and third-party integrations — with AI endpoint scaffolding, auto-documentation, and test suite generation.
Schema design, migrations, query optimization, and scaling architecture — with AI-assisted generation and automated migration scripting.
Refactoring, framework upgrades, API migrations, and tech debt reduction — with AI-automated refactoring and breaking change detection.
Proof of concepts, investor demos, user testing prototypes, and feasibility validation — our fastest delivery mode.
AI-powered development needs to be used carefully where compliance isn't optional. We have specialized experience in three regulated verticals.
Student data under strict access controls. WCAG 2.1 AA on every UI component. LTI, OneRoster, and SCORM integration expertise. No AI tool processes student PII without approval.
HIPAA-aligned data architecture with PHI handling, audit logging, and breach notification readiness. Enterprise AI tools with HIPAA-eligible data agreements only.
Government-facing accessibility compliance. Data residency and retention policies. AI tools reviewed against agency-specific governance requirements.
AI-Powered vs. Traditional Development
A clear comparison for technical decision-makers evaluating development partners.
← Scroll to see full comparison →
| Aspect | Traditional Development | AI-Powered — Hireplicity |
|---|---|---|
| Development Speed | Baseline (100%) | 40–60% faster |
| Test Coverage | 50–60% (time constraints) | 80–85% (AI-generated tests) |
| Documentation | Often incomplete, out of date | Auto-generated, always current |
| Bug Rate | Baseline | 40–60% fewer production bugs |
| Code Review Time | Days (human-only) | Hours (AI pre-review + human) |
| Security Scanning | Manual / periodic | Automated on every pull request |
| IP & Data Protection | Policy-dependent, inconsistent | Formal approval, no training on client code |
| Prototyping Speed | Days to weeks | Hours to days |
| Iteration Speed | Slow — manual rework | Fast — AI-assisted refactoring |
| Compliance Support | Requires separate engagement | Built into the development workflow |
| Dev Onboarding | Weeks to productivity | Days — better docs + AI assistance |
Questions CTOs Ask About
AI-Powered Development
Is AI-generated code production-quality? +
How much of the code is AI-generated vs. human-written? +
What if GitHub Copilot or these AI tools disappear? +
Does AI training on our code mean our IP is exposed? +
What data do you share with AI tools, and who controls that? +
Do you sign NDAs and data processing agreements? +
How do you ensure AI doesn't introduce security vulnerabilities? +
How do you prevent over-reliance on AI? +
What's your testing strategy with AI-generated code? +
How do I know your developers actually understand AI-generated code? +
If you're 40–60% faster, why don't you charge more? +
How do you price fixed-price projects if AI makes you faster? +
Can you train our internal team on AI-powered development? +
Will I have direct access to the developers? +
How quickly can you get started? +
Still have questions about AI-powered development?
Talk To Our TeamSee AI-Powered Development
in Action
Start with a free consultation or 2-week sprint trial — see the speed, quality, and security firsthand.
- Share your project requirements
- See how AI development applies to your use case
- Get a rough timeline and cost estimate
- For regulated industries: discuss compliance upfront
- No sales pressure — just real answers
- Detailed project breakdown and scope definition
- AI-powered timeline vs. traditional comparison
- Technology stack recommendations
- Security and compliance considerations
- Cost comparison with full methodology
- Build real features with our AI-powered team
- See delivery speed and code quality firsthand
- Includes security scan summary + code review
- Evaluate before any long-term commitment
- Full code ownership — yours to keep
SaaS Platforms
Globally
Retention Rate
Developers