AI-Native Software Engineering Methodology
Embracing AI-native software engineering means rethinking how software is developed. Developing a successful AI-native methodology requires more than just crafting captivating ‘vibe coding’ prompts.
We support you in defining AI-augmented processes that entail a thorough consideration of the entire software lifecycle process. This includes prompt engineering and coding, agent delegation, and hybrid workflows between humans and AI – from requirements analysis to code review and quality assurance phases. To achieve full efficiency and effectiveness, this methodology must be tailored to fit the specific contexts of the domain and project at hand. Our methodology consulting includes best practices for incorporating AI into software engineering lifecycles, including how to evolve processes over time.
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AI Coding - User Training & Enablement
Empowering developers requires more than buying a subscription for a shiny AI-enhanced coding tool or just sharing a few exemplary prompts. Successful AI-enhanced coding and software engineering entail a fundamental mindset shift, adapting daily workflows, and developing best practices. Our training programs are designed to initiate this transformation, equipping your teams not only to interact effectively with AI but to integrate AI into their everyday practices. We help them write and maintain effective prompts, understand complex agent behaviors, and rigorously validate AI outputs.
From hands-on onboarding to continuous coaching, we ensure your teams acquire the skills and confidence necessary to flourish in an AI-native environment, making the most of AI’s potential.
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AI-enhanced Tool Support
Tools are essential enablers of AI-native software engineering workflows. Whether you select an existing commercial tool such as GitHub Copilot, Cursor, adopt open source solutions such as Continue or the AI-powered Theia IDE, or create some tailored tooling, we’re here to help. We assist in evaluation, selection, potential adaptations, getting the best AI tools for your developers – and making sure the tool support fits the tailored methodology, user needs, and can be evolved in the future. From lightweight AI-enhanced UIs to full-featured AI agents and AI-powered IDEs, we support the selection, the development and deployment of your ideal solution.
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Also see our Services for Building AI-enhanced Tools and IDEs »
Blogs and Insights on AI-Native Software Engineering
- Dibe Coding: The Developer-First Approach to AI-native Development
- Delegating Code Tasks to AI: From Challenge to Breakthrough
- Theia AI: The Open Framework for Building AI-native Custom Tools and IDEs
- AI-powered Theia IDE: The Open Framework for Building AI-native Custom Tools and IDEs
- Why Good Context Matters for Efficient AI Assistance in Tools and IDEs
- The Rise of Closed Source AI Tool Integrations
Let’s build your AI-native software engineering future
Let’s take the next step together — from vision to execution.
Methodology & Assessment
We help define what AI-native software engineering means for your context — from processes and artifacts to validation and collaboration.
Training & Coaching
Empower your users with the knowledge, tools, and confidence to work productively with AI assistants and workflows.
Evaluation & Evolution
We help you to continuously evaluate AI workflows, evolve your AI-native practices, and adopt new technical innovations and trends.
Tool Integration
From existing platforms to fully custom solutions, we support the tooling you need to make AI-native software engineering real.