The rapid evolution of agentic software engineering—where autonomous AI agents move beyond code completion to independently navigate repositories, debug codebases, and manage full development lifecycles—is undeniably impressive. We are witnessing a genuine paradigm shift in tooling. However, the current discourse surrounding these advancements is increasingly characterized by hyperbole, premature declarations of "fully autonomous engineering," and metrics that often fail to reflect real-world software complexity and diversity.
To ensure the sustainable growth of this field, we must collectively shift toward a more realistic, evidence-based approach.
Researchers and engineering leaders should anchor their narrative in empirical reality:
1. Prioritize Holistic Metrics: Evaluate agentic tools not just on isolated code generation accuracy, but on Mean Time to Resolution (MTTR), human-in-the-loop review overhead, and the long-term maintainability of AI-generated code.
2. Define clear Operational Boundaries: Explicitly state what these agent systems cannot do. Transparency regarding context window limitations, hallucination rates in complex logic, and regression risks is a sign of maturity, not weakness.
3. Emphasize Collaboration Over Replacement: The near-term value of agentic software engineering lies in augmentation—automating boilerplate, accelerating test generation, and streamlining migrations—allowing human engineers to focus on architecture, security, and product strategy.
The Bottom Line: Innovation thrives on ambition, but it survives on execution. By tempering our rhetoric with rigor and grounding our claims in verifiable enterprise utility, we can guide agentic software engineering out of the hype cycle and into a mature, transformative discipline.
Lionel C. Briand is professor of software engineering and has shared appointments between (1) The University of Ottawa, Canada, where he holds a Canada Research Chair (Tier 1) and (2) Ireland's Lero Centre for Software Research, where he holds the position of Director. In collaboration with colleagues, over 30 years, he has run many collaborative research projects with companies in the automotive, satellite, aerospace, energy, financial, and legal domains. Lionel has held various engineering, academic, and leading positions in seven countries. He was one of the founders of the ICST conference (IEEE Int. Conf. on Software Testing, Verification, and Validation, a CORE A event) and its first general chair. He was also EiC of Empirical Software Engineering (Springer) for 13 years and led, in collaboration with first Victor Basili and then Tom Zimmermann, the journal to the top tier of the very best publication venues in software engineering.
Lionel was elevated to the grades of IEEE Fellow and ACM Fellow for his work on software testing and verification. He was granted the IEEE Computer Society Harlan Mills award, the ACM SIGSOFT outstanding research award, and the IEEE Reliability Society engineer-of-the-year award, respectively in 2012, 2022, and 2013. He received an ERC Advanced grant in 2016 — on the topic of modelling and testing cyber-physical systems — which is the most prestigious individual research award in the European Union. In 2023, he was elevated to the rank of fellow of the Academy of Science, Royal Society of Canada. He currently holds a Canada Research Chair (Tier 1) on "Intelligent Software Dependability and Compliance". His research interests include: Trustworthy AI, software testing and verification, applications of AI in software engineering, model-driven software development, requirements engineering, and empirical software engineering.