Rakesh Ravuri, CTO & SVP- Engineering, Publicis Sapient
For years, agile methodology has arguably been fundamental to software development, rooted in the principles of the Agile Manifesto. Originally designed to enhance teamwork and streamline processes, Agile Manifesto’s impact has now reached beyond software, influencing areas such as design, user experience, and even business strategies. With Artificial Intelligence (AI) transforming how software is built, tested, and deployed, we are at a critical juncture. Relying solely on traditional agile frameworks in this AI-driven landscape can stifle innovation. To remain relevant, agile methodologies must evolve, embracing AI as an essential component in software engineering.
Human developers and AI are on the brink of a new era of seamless collaboration. To keep pace with this dynamic shift, it’s time for the engineering community to step up and embrace the AI-Assisted Agile Methodology. This innovative approach unlocks the full potential of the human-AI partnership, treating AI not merely as a tool but as an equal collaborator. The AI-Assisted Agile Manifesto redefines traditional Agile principles, shifting from a tool-based approach to a more synergistic partnership. While it retains Agile’s core emphasis on adaptability and collaboration, it now prioritizes human-AI interactions over rigid roles, reflecting the evolving nature of modern development environments. The original Agile Manifesto would been reimagined in the following way:
- Individuals and interactions over processes and tools → Individuals and AI interactions over rigid roles and ceremonies
- Working software over comprehensive documentation →Explainable, working software over comprehensive documentation
- Customer collaboration over contract negotiation →Valuable solutions over contract negotiation
- Responding to change over following a plan → Responding at pace over perpetuating legacy patterns.
Exploring the AI-Assisted Agile Principles
1. Individuals and AI Interactions over Rigid Roles and Ceremonies: The original manifesto prioritizes human interaction above rigid processes. In the AI-assisted framework, AI is integrated into this ethos as a fundamental participant. AI interactions should complement human collaborations, facilitating adaptable roles and encouraging cross-functional collaboration. AI tools can streamline decision-making and run administrative tasks, enabling a more focused, creative, and innovative environment.
2. Explainable, Working Software over Comprehensive Documentation: We know that most code will be AI-generated in the future, thus there arises an aspect of ensuring that it is explainable. As AI becomes embedded in development workflows, explainability must replace the reliance on traditional documentation. AI ensures transparency by generating code that explains both its functionality and rationale in real time, reducing the need for extensive manual documentation.
3. Valuable Solutions over Contract Negotiation: Customer collaboration remains key, but AI enables deeper value delivery through insights and efficiency. AI tools support data-driven decisions, guiding prioritization and backlog management in ways that extend beyond subjective opinions. With AI, teams can deliver customer-centric solutions faster, highlighting value over contract details.
4. Responding at Pace over Perpetuating Legacy Patterns: The core of Agile is responsiveness, and in the AI era, this means reacting quickly. AI can accelerate development cycles, reducing the time between feedback and deployment. Automated workflows and AI-driven tools allow for rapid iteration, making responsiveness not only reactive but proactive.
Transitioning to the AI-Assisted Agile (AAA) Manifesto at Publicis Sapient
We are holistically embedding the AI-Assisted Agile Manifesto through focused upskilling, optimized tool usage, and mindset shifts.
- Upskilling: We are enhancing our teams’ proficiency in generative AI and data science through specialized training and workshops, preparing them for AI-integrated workflows.
- Effective Tool Usage: Tools like Slingshot and GitHub Copilot streamline the development lifecycle, enabling seamless integration of AI capabilities.
- Mindset Shifts: By adopting the “Triple A” approach—AI-augmented, AI-automated, and AI-assisted—we encourage innovation, polyglot coding, and creativity, breaking away from legacy constraints.
The Path Forward with the AI-Assisted Agile Manifesto
This manifesto drives faster, more varied, and cost-efficient software development, empowering teams to harness AI for greater innovation unlocking new potentials for innovation and creativity. The software community is encouraged to evolve these principles, ensuring Agile continues to thrive in an AI-driven era.
By embracing these principles, we can continue to deliver value in an evolving technological landscape. The AI-Assisted Agile Manifesto provides a roadmap for this journey, ensuring that agile practices evolve to meet the challenges and opportunities of the AI era. AI is here not only to assist but fundamentally reshape traditional roles, allowing developers to focus on high-level strategy and innovation while AI handles repetitive, time-consuming tasks. This evolution is key to inducing creativity and speeding up the development process.
In an AI-integrated future, it’s not just about creating software; it’s about building intelligent, adaptable solutions that respond quickly to change, deliver customer-centric value, and maintain transparency. The AI-Assisted Agile Manifesto is designed to guide software development into this new era, where AI is not just an asset but a partner in innovation.
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Disclaimer: Content Produced by by Rakesh Ravuri, CTO & SVP- Engineering, Publicis Sapient
