AI-enabled software delivery: Rethinking team roles and responsibilities

Translator | Liu Tao

Reviewer | Chonglou

# #As new information related to artificial intelligence continues to emerge, so too does the delivery application of artificial intelligence software.

The SaaS industry in particular is at the forefront of this transformation. Our senior technical and product staff must be prepared for this change.

#The days of people planning and sifting through lines of code will soon be over. This will happen sooner than our expected time. We are already in an era where machines can optimize and generate software. Are we ready for the transformation of this industry?

In this article, I will talk about some of myviews, such asthe roles of traditional software engineering teams Changes and the emergence of new roles, and your business needs toprepare to use artificial intelligence to drive software development.

AI-Led Software Delivery

Artificial Intelligence Software Delivery by" ”, I would like totalk about integrating artificial intelligence into the software development process , to optimize planning, coding, software testing, and deployment.

#The convergence of artificial intelligence and software engineering has the potential to revolutionize the way we develop, deliver and maintain software. This can shorten the development cycle, improve production efficiency, and reduce production costs. Organizations that don't act fast enough may be left behind.

#As leaders in their fields, we have a responsibility to stay ahead of the curve and ensure our software development teams are equipped to navigate this landmark change.

Changes in traditional roles

We must adaptto this process. What I’m thinking about is some of our most common characters and how they might be affected by artificial intelligence.

My question is: How can we make the most of the fundamental changes that artificial intelligence will bring?

1. Software Engineer. This covers everyone from QA engineers to front-end developers. For engineers, embracing artificial intelligence is not optional. Understanding how to use AI to get the right answers quickly, write code in the right environment, and automate repetitive tasks is essential for your team to avoid falling prey to the competition. What they do are higher-level, day-to-day decision-making tasks. Ultimately it is possible to increase the efficiency of the entire development team.

2. Product Manager/Owner . This also includes project managers. Product innovation will become a collaborative task for artificial intelligence. If you’re not using AI tools to gain insight into your customers’ needs and preferences, predict market trends, and make data-driven decisions, you’ll be falling behind.

3.DevOps Engineer. Artificial intelligence tools will become the backbone of DevOps operations. The gap between purely manual and artificial intelligence-assisted DevOps operations will be huge. Artificial intelligence will support the optimization of nearly every process, from CI/CD to security.

4. Team leader/technical director. Thinking strategically about AI will be a key success factor for technology leaders. Their job will be to understand artificial intelligence,while also coordinating and developing the enterprise's philosophy of using artificial intelligence upstream and downstream, and identifying opportunities and risks( Including legal changes). Perhaps most importantly, it will make sense to improve employees’ existing skills and learn new ones while fostering a culture of experimentation and innovation.

#Just trying, but what about leaders?

The era of senior technical and product managers monopolizing knowledge and decision-making is fading, and these roles must continue to learn.

#Now it is crucial to master AI technology and integrate it seamlessly into the development process.

Senior product managers should embrace artificial intelligence to enable informed decisions and previously unobtainable insights.

#For example, at a SaaS company, a senior technical manager spent a lot of time reviewing the code and identifying bottlenecks. Code analysis tools developed based on artificial intelligence technology can completely automate this process, so that they can concentrate on strategic planning and team building. This transformation from practical experts to strategic leaders who use artificial intelligence to improve efficiency and productivity is exactly what is needed.

#Adapting to and embracing change is critical in an AI-driven software delivery environment. Senior managers' insistence on old practices puts them at risk of becoming obsolete.

Prepare your organization for the future

Adopting AI-driven software delivery is more than just implementing new technology or reorganizing team roles. It is also about developing an innovative and adaptive mindset within the organization.

Here’s a quick list that comes to mind…

• Culture is fundamental . Risky trials and testing cannot be conducted without senior management support and approval. This includes helpful discussions on the adoption and implementation of artificial intelligence.
• Encourage safe use. Give your team blessings and clear guidelines so they have the skills they need to apply AI effectively. Actively create this atmosphere and encourage employees to share their learning experiences. Practice personally and lead the team.
• Encourage cross-functional collaboration. Your software development team is likely at the forefront of AI adoption in your organization. But the beneficiaries extend far beyond the engineering team. Collaborate with other departments to ensure other teams(such as marketing, sales, customer experience, etc.) are also at the forefront.

Conclusion

Artificial intelligence defines the team role in the entire software industry. We must be prepared to adapt to this new reality, seize the opportunities it brings, and meet the challenges it brings.

#Once we master this, we gain an edge over our competition that enables us to grow at an exponential rate, thereby propelling us enterprises move forward.

Original title: ##AI-Enabled Software Delivery: Rethinking Team Roles and Responsibilities By Alex Omeyer

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