Xebia ACE: AI-Native Software Engineering^TM

Xebia ACE (Accelerate, Contextualize, Evolve) is an AI-native software 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, 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.

Most Xebia clients see measurable results within the first 2–4 weeks through a focused pilot sprint. The initial ACE assessment identifies the highest-value AI entry points in your SDLC. From there, a pilot sprint delivers quantifiable improvements in delivery speed or quality before any broader rollout begins.

GitHub Copilot and similar tools accelerate individual developers at the code-writing stage. ACE is a full-lifecycle framework spanning requirements, architecture, testing, and deployment — not just code generation. 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.

Yes. 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.

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

A typical ACE engagement starts with a free 90-minute SDLC assessment, followed by a focused 2-week pilot sprint on a real workstream. From there, teams scale ACE practices across the organization. All engagements are tied to measurable delivery outcomes, not project milestones.

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.

Yes. ACE is designed to be composable and tool-agnostic. It integrates with your existing development tools, cloud platforms, and CI/CD pipelines. Xebia is a GitHub Global Partner of the Year (2024–2025) and an AWS Premier Partner built on Amazon Bedrock, with deep integrations across the modern engineering stack.

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

ACE is all three: a framework (structured methodology for AI-native engineering), a platform (toolset including Requirements Builder, Architecture Generator, and more), and a delivery service (Xebia engineers who implement it with your team). The combination ensures lasting impact — not just tooling access.