Frequently Asked Questions
Do you have questions about Agentic Software Engineering? Here you will find answers to questions we are frequently asked.
What is Agentic Software Engineering?
Agentic Software Engineering is the use of AI agents throughout the software development lifecycle. It goes well beyond code completion. Agents can support requirements analysis, architecture, implementation, testing, deployment, and operations. The key is to integrate these tools into existing engineering practices without compromising quality, traceability, or accountability.
INNOQ brings together its experience, content, and services around Agentic Software Engineering.
Where can AI agents be used effectively in software development?
AI agents can support many parts of the development process, including requirements analysis, exploring existing codebases, creating and refactoring code, writing tests, or preparing changes. They become particularly effective when they are not used as isolated tools but have access to the right context, tools, and automated quality checks.
Which tasks are suitable depends on the system, its risks, and the development process. Not every engineering task should be delegated to an agent entirely.
How does Agentic Software Engineering change the role of developers?
As AI agents take on more implementation work, the developer’s focus shifts from individual lines of code towards orchestration, context, architecture, and quality control. Developers need to clarify requirements, provide agents with suitable working conditions, evaluate their output, and remain accountable for the resulting software.
Agentic Software Engineering therefore does not replace engineering expertise. On the contrary, the more autonomous the tools become, the more important sound decisions about architecture, quality, and risk become.
What security risks come with coding agents and AI agents?
Agents may have access to files, APIs, development tools, or other systems and can sometimes take actions autonomously. This introduces additional attack vectors, including prompt injection, tool misuse, uncontrolled tool interactions, data exfiltration, and unauthorized system access. These risks need to be addressed from the outset through architecture, permissions, and appropriate development environments.
INNOQ addresses these challenges specifically in its Agentic Software Security Training.
How does INNOQ help teams get started with Agentic Software Engineering?
INNOQ offers two complementary formats. The three-day Agentic Software Engineering Training gives developers and architects hands-on experience with generative AI and agent-based workflows across the software development lifecycle.
For teams that want to embed these practices in their day-to-day project work, the Agentic Engineering Accelerator provides hands-on coaching. An INNOQ consultant works directly with the team over several months, typically two to three days per week. Through pair programming, mob sessions, and live demos, the team develops the skills to apply agentic engineering practices independently.
