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The xDD Methodology

AI Agents + Expert Teams + Agile Scrum + Lean Startup = 8-10x Faster Delivery

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A New Paradigm for Software Development

Xamun xDD combines cutting-edge AI technology with battle-tested Agile practices and Lean Startup principles. Our dedicated expert teams leverage the Xamun Platform's AI agents to accelerate development while maintaining enterprise-grade quality and predictable delivery.

The Four Pillars of xDD

1. Xamun Platform AI Agents

Intelligent automation that accelerates every phase of development without sacrificing quality.

AI-Powered Scoping: Analyze requirements and generate story points with 95%+ accuracy

Code Generation: AI creates production-ready code from specifications

Automated Testing: Generate comprehensive test suites automatically

Architecture Patterns: Apply proven design patterns consistently

→ Documentation:
Auto-generate clear, up-to-date docs

→ Deployment Automation: CI/CD pipelines configured by AI

2. Dedicated Expert Teams

Experienced professionals who guide the AI, make critical decisions, and ensure quality.

→ Business Analysts: Translate business needs into technical requirements

→ Software Engineers:
Guide architecture, review AI-generated code, handle complexity

→ Scrum Masters:
Facilitate ceremonies, remove blockers, ensure process discipline

→ QA Testers:
Validate functionality, ensure quality standards

→ DevOps Engineers:
Manage infrastructure, deployments, and monitoring

→ Product Owners (Shared):
Prioritize backlog, accept deliverables

3. Agile Scrum Framework

Proven iterative methodology that delivers working software every 2 weeks with full transparency.

2-Week Sprints: Regular delivery cadence with demo-able increments

Daily Standups: 15-minute syncs to identify blockers quickly

Sprint Planning: Collaborative commitment to achievable goals

Sprint Reviews: Demo working software to stakeholders

→ Retrospectives:
Continuous improvement of process and team

→ Story Point Estimation: Transparent capacity planning and forecasting

4. Lean Startup Principles

Build-Measure-Learn cycles that minimize waste and maximize learning from real user feedback.

Build MVPs Fast: Launch minimal viable products in 2-4 weeks

Validated Learning: Test hypotheses with real users, not assumptions

Pivot or Persevere: Make data-driven decisions every sprint

Eliminate Waste: Focus on features that matter, skip the rest

→ Continuous Deployment:
Ship frequently, get feedback faster

→ Actionable Metrics: Track what drives real business value

Complete xDD Workflow

See how AI and human expertise collaborate at every step—from initial vision to continuous delivery with built-in change control.

Complete xDD Workflow

AI-Powered Steps

AI generates backlogs, estimates, groups stories, creates test cases, performs impact analysis

Human Decision Points

Experts review, approve, refine, prioritize, and make critical decisions at each stage

Collaborative Work

Development and testing where humans and AI work together—AI generates, humans refine

Change Control

Locked sprint backlogs and impact analysis ensure changes don't break completed work

This cycle repeats every 2 weeks. Each iteration incorporates feedback, learns from users, and continuously improves the product.

How xDD Works: From Idea to Production

Our proven 6-step process delivers working software predictably and transparently

1

Discovery & Scoping

Business Analysts work with you to understand requirements. AI analyzes and generates story points with accurate estimates.

2

Architecture & Design

Software Engineers design the system architecture. AI suggests proven patterns and generates technical specifications.

3

Sprint Planning

Team commits to sprint goals. Scrum Master facilitates. You prioritize what gets built first based on business value.

4

AI-Accelerated Development

AI generates code from specs. Engineers review, refine, and handle complex logic. QA validates continuously.

5

Sprint Review & Demo

Every 2 weeks, team demos working software. You see tangible progress, provide feedback, adjust priorities.

6

Deploy & Measure

Continuous deployment to production. Measure real user behavior. Learn what works. Plan the next iteration.

 This cycle repeats every 2 weeks. You get working software, real progress, and full transparency—always.

Scrum Ceremonies: Your Window Into Development

Sprint Planning

Every 2 weeks • 2 hours

Team reviews backlog, discusses stories, estimates effort, and commits to sprint goals. You set priorities and ask questions.

Daily Standup

Every day • 15 minutes

Quick sync where each team member shares: What I did yesterday, what I'm doing today, any blockers. Fast problem-solving.

Sprint Review

Every 2 weeks • 1 hour

Team demonstrates working software. You test it, provide feedback, accept or request changes. Real progress, visible results.

Sprint Retrospective

Every 2 weeks • 1 hour

Team reflects on what went well, what didn't, and what to improve. Continuous process optimization based on real experience.

Build-Measure-Learn: The Lean Startup Loop

Every sprint is a complete Lean cycle. We build features, measure user behavior, learn what works, and apply insights to the next sprint. No assumptions—only validated learning.

Build

MVP First: Ship the simplest version that tests your hypothesis. AI accelerates development 8-10x, so you launch in weeks, not months. Focus on learning, not perfection.

Measure

Real Data: Track how users actually behave. Not vanity metrics—actionable insights. What features get used? Where do users drop off? What drives conversions?

Learn

Validated Insights: Analyze data, draw conclusions, make decisions. Pivot if hypothesis was wrong. Persevere if it's working. Plan next sprint based on learning, not guesses.

 Every 2 weeks, you complete a full Build-Measure-Learn cycle.

That's 26 learning opportunities per year vs. traditional 1-2 big releases.

Why This Methodology Delivers Results

✨ 8-10x Faster Delivery

AI handles repetitive coding tasks. Experts focus on complexity and quality. Launch MVPs in 2-4 weeks instead of 6-12 months.

✨ Complete Transparency

Daily standups, 2-week demos, real-time dashboards. You always know exactly what's happening and what to expect.

✨ Enterprise-Grade Quality

Expert oversight at every step. Automated testing. Code reviews. Design-first approach. QA validation. Production-ready from day one.

✨ Predictable Costs

AI-powered story point estimation is 95%+ accurate. Fixed monthly pricing. No surprises. You know what you're getting and what it costs.

✨ Flexibility to Pivot

2-week sprints mean you can change direction quickly. Learn from users, adjust priorities, test new ideas without losing momentum.

✨ Reduced Risk

See working software every 2 weeks. Payment after satisfaction. Validated learning from real users. No big-bang releases that might fail.

✨ Scales Seamlessly

Start with 1 unit ($30K/month). Add more as needed. Team scales up or down. Architecture grows with your business.

✨ Full Code Ownership

You own everything. Well-documented, maintainable code. Modern architecture. Can switch to any dev team if needed.

Ready to Experience the xDD Difference?

See how AI + Experts + Agile + Lean delivers enterprise-grade software 8-10x fasterwith predictable costs and transparent progress.

Want to learn more about our methodology?

Frequently Asked Questions
about our AI-Native SDLC platform

1. What is Xamun.AI?

Xamun.AI is an AI-native SDLC platform that transforms business requirements into working software in just 2-4 weeks. Sometimes called AI-native SDLC platform, we enable large enterprises undergoing digital transformation to rapidly deploy custom software solutions without requiring technical expertise, while maintaining complete source code ownership and enterprise-grade quality.

2. Who is Xamun.AI designed for?

Enterprise Digital Transformation Teams: CIOs, CDOs, and digital transformation leaders at large enterprises who need to accelerate their digital initiatives.

However, it may also be used by early to growth-stage startups with funding who need to rapidly develop their product (without diverting resources to building large technical teams) as well as executives with clear business needs who require custom software solutions but lack technical teams.

3. How does Xamun.AI's AI-native SDLC differ from traditional development?

Xamun.AI reimagines the entire software development lifecycle (SDLC):

  • Our AI agents generate and optimize code at unprecedented speed

  • Your team will just review & refine AI output rather than designing & writing code from scratch

  • Projects are divided into optimal units for parallel development

  • Each unit (approximately 30 screens) is delivered in 2-3 weeks

  • This approach delivers 8-10x faster development speed compared to traditional methods

  • The result is approximately 35% lower cost compared to quality development shops in Asia

4. What kind of architecture does Xamun.AI use for custom mobile and web apps?

Xamun.AI builds applications using a micro-monolith cloud-native architecture. This approach:

  • Creates cohesive, self-contained application units (typically around 30 screens per unit)

  • Enables independent deployment and scaling

  • Maintains the simplicity of monolithic applications while providing the flexibility of microservices

  • Optimizes for both development speed and performance

  • Supports modern cloud deployment practices

5. How do you ensure quality at such high speeds using AI-native SDLC?

Quality is maintained through:

  • AI agents that consistently apply best practices and patterns

  • Expert human oversight at critical decision points

  • Automated testing integrated into the development process

  • The micro-monolith architecture that simplifies testing and validation

  • Standardized quality assurance processes for all units

6. How is Xamun.AI priced for enterprise software development projects?

Xamun.AI offers transparent, value-based pricing:

  • DesignStudio: $30 per project for instant specifications and prototypes. Xamun.AI also offers premium services that come with consultation sessions.

  • BuildStudio: On the average, approximately $40K (around 30 screens), with total project costbased on the software’s size and complexity. This includes all development, quality assurance, and initial deployment support, with no hidden costs or ongoing subscription fees. Optional add-ons such as maintenance, VAPT, etc. are also available.

  • BuildStudio: Starting in July 2025, Xamun.AI will also offer self-service subscription where users can build software on a pay-as-you-use credit system.

7. Can Xamun.AI handle large, enterprise-scale applications for digital transformation?

Definitely. Our structured approach scales efficiently forlarge enterprise applications:

  • Multiple units are developed in parallel to maintain speed

  • Each 30-screen unit is delivered in 2-3 weeks

  • Complex applications are broken down into manageable units

  • Integration between units follows standardized patterns

  • This approach has successfully delivered applications with hundreds of screens

8. How can enterprise teams or funded startups get started with Xamun.AI’s AI-native SDLC platform?

Enterprise teams and funded startups can begin in one of three ways:

  • Quick Start: Try our DesignStudio for $30 to generate full specifications and a functioning prototype/proof-of-concept

  • Book a Meeting: Schedule a 30-minute consultation focusing on your digital transformation goals and we can deep-dive into how we can help

9. How quickly can you start development after requirements are finalized?

With our AI-native SDLC approach and unit-based structure:

  • DesignStudio provides immediate specifications and prototypes

  • Development teams can be assigned within days, not weeks

  • The first unit typically begins development within a week of requirements approval

  • Parallel unit development starts as soon as unit boundaries are defined

  • This rapid mobilization is part of how we achieve 8-10x faster delivery

10. What technical results can we expect from Xamun.AI-built applications?

Xamun.AI delivers enterprise-grade technical results:

  • Clean, maintainable code that follows industry best practices

  • Optimized database design and query patterns

  • Responsive UI that works across devices

  • Comprehensive API documentation

  • Containerization-ready applications

Resources

How we compare to approaches to custom software development

Find out how Xamun stacks up vs traditional ground-up development, and how we compare to low-code/no-code and other AI-powered software development platforms

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How we do AI-native SDLC

Learn how Xamun leverages AI to improve the entire software development lifecycle for both startups and mid-sized companies

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Frequently Asked Questions on developing apps using AI

See what people are asking about Xamun and learn why we’re the best option out there for your custom software development needs

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Articles on AI-native SDLC

Read blogs on software development and how you can transform the traditional process through new technologies such as AI

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FREE eBooks on Startups, Digital Transformation and AI

Access free ebooks on accelerating digital transformation through various tools, including AI-augmented software development

Learn More

Glossary of Enterprise Digital Transformation and AI Terms

Browse through our collection of concepts and their definitions and build your proficiency in digital transformation and AI

Learn More

Find out more why Xamun.AI is a top AI-native SDLC platform

Choosing the right AI-Native SDLC platform can be confusing, let's meet so we can answer your most pressing questions! You can also inquire via email.

About Xamun
Xamun revolutionises how custom software is built through its AI-Native SDLC Platform. We seek to unlock innovations that have been long shelved or even forgotten by startup founders, mid-sized business owners, enterprise CIOs that have been scarred by failed development projects.

We do this by providing a single platform to scope, design, and build web and mobile software that uses AI agents in various steps across the entire software development lifecycle.

AI-powered software development mitigates risks in conventional ground-up software development and it is also a better alternative to no-code/low-code because we guarantee bug-free and scalable, enterprise-grade software - plus you get to keep the code in the end.

We make the whole experience of software development easier and faster, deliver better quality, and ensure successful launch of solutions for enterprise digital transformation.
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