Agentic AI is changing software engineering fast. AI coding assistants are no longer just suggesting code; they can plan, write, and test software. However, the need to keep the human in the loop is becoming apparent.
But what happens when the loop moves too fast for humans to keep up?
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In this episode of SIGNAL, our host Werner Heijstek and Luc Brandts, CEO of Software Improvement Group, explore what agentic AI means for software quality, architecture, security, and code governance.
Drawing on SIG’s latest analysis of systems built with agentic AI, including Cursor’s FastRender and Claude’s C Compiler, they discuss why keeping a human in the loop still makes a difference (and how that becomes harder at scale), and why the real challenge is not only building faster, but staying in control.
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The SIGNAL podcast, powered by Software Improvement Group, is a monthly show where we turn complex IT topics into business clarity. Hosted by Werner Heijstek, Senior Director at Software Improvement Group.
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Software Improvement Group (SIG) enables organizations to embrace AI with strategic control and to become more agile & resilient through secure, high-quality software.
Sigrid® – its software governance platform – leverages the world’s largest software metric database containing over 400 billion lines of code across more than 20,000 systems and 300+ technologies, and intelligently recommends the most crucial initiatives for organizations.
SIG complies with multiple ISO/IEC standards, including ISO/IEC 27001 and 17025, and has co-developed ISO/IEC 5338, the new global standard for AI lifecycle management.
SIG was founded in 2000 and has offices in New York, Copenhagen, Brussels, and Frankfurt, and is headquartered in Amsterdam. Sigrid®, together with expert software engineering consultants, and over 25 years of industry-leading research, positions SIG as the foremost authority on software portfolio governance.
