How Agentic AI is Shaping the Future of Software Delivery
Agentic AI is set to be the transformative solution that developers need to overcome process inefficiencies and refocus their efforts on driving innovation
Historically, software delivery has been held back by a range of challenges, from siloed teams to manual processes. With the hype surrounding agentic AI continuing to grow, IT leaders are increasingly eyeing these technologies as a potential solution. They will continue to invest in exploring this potential in the coming year, triggering a second wave in the platform engineering movement.
Organizations will look to augment the Internal Developer Portals and Platforms that have become central to modern software delivery practices with new, more automated workflows. By integrating agentic AI into the portals and platforms that enable developers to self-serve the capabilities they need to work productively, organizations will drive even greater efficiencies, unleashing the full potential of their ability to innovate.
Easing the Pressure on Developers
It will be increasingly essential for organizations to embrace agentic AI as part of their platform engineering practices to alleviate the pressure their developers are under. Mounting workloads, shrinking budgets and the rising complexity of software development are adding more burden onto already overstretched development teams. These challenges are further compounded by the prevalence of manual tasks in their workflows, such as provisioning build environments, running tests and pipeline configuration.
In fact, the State of Software Delivery Report found that more than three-quarters of developers spend at least 30% of their time on manual, repetitive tasks. These time-consuming activities not only drain resources but also divert valuable attention away from more strategic work that drives innovation. The pressure to deliver high-quality software, coupled with constrained resources, makes it increasingly difficult for teams to keep up with the demands of modern organizations.
Agentic AI is well-positioned to make a significant impact on reducing these challenges. When embedded within a centralized internal developer platform, AI agents can relieve the pressure on engineers by automating repetitive tasks and drawing on rich data and context from across the delivery pipeline. With AI reducing the time they need to spend on routine activities, developers are freed to focus on higher-value tasks, helping them to drive innovation and deliver greater value to customers.
Specialized Agents to Boost Efficiency
Agentic AI also marks a significant step up in DevOps automation, enabling organizations to move beyond single assistants that have already been adopted for tasks like coding. Instead, they can use a number of specialized agents for other tasks like testing, pipeline configuration and quality assurance, which haven’t previously been supported by AI. This specialization allows for more precise and efficient automation, ensuring each task is managed by an agent optimized for the unique challenges it is designed to solve.
In addition, organisations can look into orchestrating agents to drive even greater value from their automated platform engineering practices. Orchestrating agents take charge of coordinating specialised AI agents, providing a unified view of the entire development process. By delivering holistic insights and facilitating smarter, more efficient decision-making, the orchestrating agent ensures that all components work seamlessly together, maximizing the benefits of automation and driving productivity across development pipelines.
Integrating AI Agents into Workflows
With 98% of developers acknowledging that these tools significantly reduce burnout, AI agents are on track to quickly become essential in the future of DevOps. However, the benefits of using AI will only be realized if developers feel comfortable using agents to automate their workflows.
It is therefore essential that organizations respect developers’ preferences when it comes to the tools and methods they use to complete their tasks. AI agents must seamlessly integrate into existing workflows and toolchains to complement the processes they support without imposing drastic change or disruption for developers.
By integrating AI agents into their established DevOps ecosystems and developer platforms, organizations can enhance the productivity of their teams while giving them a sense of control and ownership. In this way, AI agents can streamline development workflows and maintain a consistent user experience for the teams that use them, fostering greater trust and driving wider adoption.
The Transformative Impact of Agentic AI
In an era of increasing complexity in software delivery, agentic AI is set to be the transformative solution that developers need to overcome process inefficiencies and refocus their efforts on driving innovation. By automating repetitive tasks, agentic AI will take the brunt of manual effort that drains productivity and drives frustration for developers, helping to reduce burnout and drive satisfaction.
By overcoming today's challenges and streamlining development workflows, organizations will gain a competitive advantage, positioning themselves as leaders in the fast-paced world of software delivery. This will redefine best practices for software development and establish a new benchmark for the speed at which innovation can be delivered.