What is AI-Native Software Engineering?

AI-native software engineering embeds AI across the entire software development lifecycle, from requirements and design to coding, testing, and deployment. Unlike standalone AI coding tools, it applies AI throughout engineering workflows to accelerate delivery, improve quality, and reduce development costs.

Can Xebia Ace help modernize legacy systems?

Yes. Xebia Ace includes two legacy-specific tools: Project Explorer, which maps and documents the structure, tech debt, and modernization potential of legacy codebases, and the Modernization Planner, which designs phased upgrade strategies based on code insights and business priorities. Xebia Ace has delivered 50-70% lower cost and time on legacy transformation engagements.

What ROI can we expect from Xebia Ace?

Based on Xebia client engagements, organizations have achieved up to 40% faster product and platform delivery, 50-70% reduction in legacy transformation cost and time, and 30-50% faster delivery speed at the engineering organization level. Results vary by starting point, team size, and scope of implementation.

How does Xebia Ace ensure software quality and security?

Xebia Ace aligns test cases, requirements, and architecture from day one so quality is built in, not added later. The Testing module automatically generates test scenarios from requirements and converts them to automation-ready code. Security and compliance checks are embedded in the Deployment module's CI/CD pipeline generation.

Does Xebia Ace work with our existing tools and tech stack?

Yes. Xebia Ace is designed to be composable and tool-agnostic. It integrates with existing development tools, cloud platforms, and CI/CD pipelines. Xebia is a GitHub Global Partner of the Year and an AWS Premier Partner built on Amazon Bedrock, with deep integrations across the modern engineering stack.

Who is Xebia Ace designed for?

Xebia Ace is designed for enterprise and mid-market technology leaders, including CTOs, VPs of Engineering, and Chief Digital Officers responsible for large engineering organizations or complex product portfolios. It is particularly valuable for organizations managing legacy system debt, scaling engineering teams, or seeking to move AI adoption beyond individual developer tooling.

Is Xebia Ace a product, a service, or a framework?

Xebia Ace is all three: a framework that provides a structured methodology for AI-native engineering, a platform that includes tools such as Requirements Builder and Architecture Generator, and a delivery service implemented by Xebia engineers. This combination helps organizations achieve lasting impact beyond tooling access alone.

Xebia Ace: AI-Native Digital Engineering

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Xebia's Ace^TM, an AI-native digital engineering framework, is designed for pragmatic, outcome-driven modernization and digital transformation. It uses AI to amplify engineering expertise, delivering measurable impact through structured, scalable workflows that improve efficiency and drive real business results.

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Your Teams Are Using AI. Your Delivery Isn't Improving.

The Opportunity Is Real

AI can solve software engineering's defining problem: delivering more value, faster, with fewer defects. The technology exists. The question is whether your organization is set up to capture it.

But Most Teams Are Stuck at the Surface

75% of developers use AI tools. Fewer than 15% see enterprise-grade productivity gains. Skills gaps, fragmented toolchains, and weak engineering foundations are blocking real ROI — not the tools themselves.

The Gap Is Systemic, Not Tactical

GitHub Copilot doesn't fix bad requirements. Code generators don't solve architecture debt. You don't need more AI tools — you need AI embedded into the full SDLC, end to end.

The Framework

The Framework That Turns AI Adoption Into Engineering ROI

Designed for pragmatic, outcome-driven modernization and digital transformation.

Uses AI to amplify engineering expertise, delivering measurable impact through structured, scalable workflows.

Improves efficiency and drives real business results.

Business Value in Action

Real Numbers. Real Outcomes.

Faster Product Delivery

Go to market faster, ship with fewer defects, and cut delivery costs — without growing your headcount.

Up to 50%

Legacy Modernization, Accelerated

Transform legacy systems with minimal disruption. Xebia Ace maps your tech debt, plans the path, and de-risks every step.

Up to 70%

Engineering Org Transformation

Elevate your entire engineering organization — not just individual developers — with AI practices that compound over time.

Up to 50%

Our Work

Client Stories

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US Airline Boosted Engineering Throughput and Quality with Xebia Ace™

Learn how Xebia Ace transformed software delivery on AWS, optimizing every stage of the SDLC through a Value Realization Framework (VRF).

Read Client Story

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Global Bank Reduced Analysis Effort by 70%, Using Xebia Ace™

Explore how the bank rapidly decoded 25 years of undocumented business logic, enabling faster decision-making and modernization at scale.

Read Client Story

From idea to impact

AI Embedded Across Every Phase of Your SDLC

Xebia Ace doesn’t layer AI on top of your process; it rewires it. From raw requirements to production deployment.

Five lifecycle stages delivered through multiple integrated modules.

AI requirements analysis workflow for enterprise software development

Transforms raw, unstructured business inputs into structured, testable software requirements using contextual AI.

- Parses notes, diagrams, screenshots, and more
- Defines business context to focus AI output
- Refines output via iterative prompting
- Aligns analysis with ISO and compliance standards
- Automatically detects ambiguities, gaps, and inconsistencies
- Generates outputs with Gherkin, criteria, edge cases & value
- Ranks user stories using MoSCoW and RICE
- Recommends team setup and delivery timeline
- Cuts time-to-spec from days to minutes

Mobile view of AI requirements builder for software planning

Transforms structured requirements into system design diagrams and technical artifacts — automatically and consistently.

- Uses structured specs with value, logic, and business intent
- Auto-generates full C4 diagrams: context to code level
- Builds API specs from system logic and functional inputs
- Designs entity models with states, relations, lifecycles
- Creates deployment views aligned with infra requirements
- Produces HLD and LLD docs ready for engineering use
- Maps system flows across APIs, databases, and services
- Aligns tech teams around one shared architectural vision
- Speeds up design and boosts clarity with visual assets
- Converts specs into machine-readable design instructions

AI architecture generator creating system diagrams and API designs

From Structured Requirements to Clickable Prototype — AI-Driven Design Acceleration.

- Converts specs into PRDs with flows, features, and edge cases
- Generates style guides with colors, fonts, and UI patterns
- Builds screen lists from user journeys and use case logic
- Auto-generates wireframes with layout and CTA structure
- Creates UX specs with nav logic, error states, and rules
- Integrates with tools to instantly render clickable prototypes
- Aligns design and dev with traceable UI/UX-to-spec flow

AI UX design generator creating wireframes and clickable prototypes

Maps and documents the structure, tech debt, and modernization potential of legacy codebases using explainable AI.

- Maps your codebase with AI-powered file summaries
- Spots complex areas and maintainability challenges
- Suggests modernization based on your current tech stack
- Builds a reusable system understanding for planning
- Flags high-impact refactor or replatform candidates
- Speeds up onboarding for unfamiliar codebases

AI project explorer analyzing legacy codebases and technical debt

Automatically converts structured software requirements into executable, human-readable test scenarios.

- Parses structured requirements to uncover feature logic
- Auto-generates test cases in formats like Gherkin
- Reduces QA workload by eliminating manual test design
- Expands test coverage by detecting hidden edge cases
- Aligns tests with business logic for full consistency
- Speeds up time-to-test by converting specs in minutes

AI test case generator creating automated QA scenarios from requirements

Turns natural-language test scenarios into automation-ready test code using your preferred tech stack.

- Converts test cases into executable code instantly
- Supports Cypress, Playwright, Selenium, and JUnit
- Matches your team’s coding style and tech stack
- Eliminates manual scripting for faster automation
- Enables plug-and-play testing in CI/CD pipelines
- Connects business intent with real-world execution

Designs, compares, and tailors upgrade strategies for legacy systems based on code insights and business logic.

- Recommends upgrade paths from legacy to modern stacks
- Offers tailored “recipes” based on best architecture practices
- Compares upgrade scenarios to assess trade-offs and cost
- Extracts logic and intent from legacy code without docs
- Ranks upgrade priorities by feasibility and business impact
- Enables faster, safer transformation with data-driven plans

AI modernization planner for legacy system transformation strategies

Why Xebia

Why Xebia Beats a Big-4 for This

Engineering-First DNA

We’ve been building software since 2001. Not managing it. Not advising on it. Building it — with 6,000+ engineers globally.

AI-Native, Not AI-Added

Xebia Ace was designed from the ground up for the AI era, not retrofitted onto legacy consulting models and delivery structures.

Speed Without Chaos

We don’t start with a 12-month roadmap. We deliver measurable outcomes within the first sprint — then scale what works.

Outcome Accountability

We tie our engagements to delivery metrics, not project milestones. You measure us by what actually ships.

Partner Ecosystem Depth

GitHub Global Partner of the Year 2024–2025. AWS Premier Partner. Built with Amazon Bedrock. First GitHub verified partner in Europe.

We Build Capability, Not Dependency

We uplift your team so they own the transformation after we’re gone — not a model that grows with every contract renewal.

Use Cases

Built for the Problems You’re Actually Facing

Modernizing a Legacy System Without Stopping the Business

Your core platform is slowing you down. You can’t rewrite it. You can’t afford to pause. Xebia Ace’s Project Explorer maps your tech debt, and the Modernization Planner designs a phased path — with AI accelerating every step and de-risking the transition.

Scaling Engineering Productivity Across Hundreds of Developers

You’ve deployed Copilot. Productivity metrics haven’t moved. Xebia Ace goes beyond individual tooling — embedding AI into your SDLC processes, QA practices, and release cadence for measurable, org-wide impact.

Launching a New Product in Half the Time

Your roadmap is ambitious. Your timeline isn’t. Xebia Ace’s Requirements Builder, Architecture Generator, and Test Code Generator compress the idea-to-production timeline — so your team ships without burning out.

Xebia Ace Partner Ecosystem

Our Ideas

Insights & Perspectives

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Get Started

How to Get Started with Xebia Ace

Free Xebia Ace Assessment

A 90-minute session with a Xebia AI engineering expert. We audit your current SDLC, identify your highest-value AI entry points, and give you a prioritized roadmap — no commitment required.

Pilot Sprint

We run a focused 2-week pilot on a real workstream using Xebia Ace's tooling. You see measurable results before signing a broader engagement.

Scale What Works

We expand Xebia Ace across your teams, embed it into your engineering culture, and track ROI through every phase of the rollout.

Frequently Asked Questions

Xebia Ace is an AI-native digital engineering framework and toolset that embeds AI across the full software development lifecycle — from requirements and design through implementation, testing, and deployment. Unlike point AI tools, Xebia Ace is a structured methodology that delivers measurable outcomes at the team, project, and organizational level. It is designed for enterprise teams looking to accelerate delivery, reduce legacy system costs, and build sustainable AI engineering capability.

GitHub Copilot and similar tools accelerate individual developers at the code-writing stage. Xebia Ace is a full-lifecycle framework spanning requirements, architecture, testing, and deployment — not just code generation. Xebia Ace also includes organizational change management, capability development, and measurable outcome tracking. It integrates with tools like Copilot as part of the broader engineering system.

Contact

Let’s discuss how we can support your journey.

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