In this episode, Dave Rubinstein, editor-in-chief of SD Times, sits down with Karthik Sj, General Manager of AI at LogicMonitor, to discuss the challenges and progress of AI in enterprise production. Among the topics discussed are:

* The rapid advancements in AI, particularly in code generation and self-healing

* Emphasizing the importance of context engineering and agent execution engines

* Recommending that organizations start with an automation readiness report to assess their maturity and tailor their AI adoption roadmap

In this episode, Dave speaks with Mike Sirchuk, president, founder and CEO of Swa Technology, about providing organizations with multiple AI models to choose from, and bringing those tools to where people work today, such as in Slack teams, text messaging and Zoom, to name a few. The Swa platform also enables companies to build the security layer to manage who has access to what model.

In this episode, Dave talks with Kenneth Ziegler, CEO of Leapwork, about the findings of a survey on AI in testing, revealing that while 88% of companies are developing agentic software, only 13% are using AI for testing. He highlighted that 59-60% of testing remains manual, presenting an opportunity for AI to streamline processes. Ziegler emphasized the importance of speed, ease, and quality in AI adoption. He introduced Leapwork's new AI Studio, which integrates traditional no-code testing with AI-native continuous validation, aiming to address bottlenecks in agentic development by ensuring deterministic outcomes.

In this episode, SD Times editor-in-chief Dave Rubinstein speaks with Adam Seligman, CTO at Workato, about MCP and what Adam is calling AI strategy heartburn.

Seligman compares the current AI adoption to overeating at a buffet, emphasizing the need for a healthy approach to AI. He explains the magic of AI when it works but also its tendency to hallucinate or provide incorrect answers, likening it to the need for secure and trusted human interactions.

Traditional AppSec tools were created with the assumption that humans wrote code and security reviewed it afterward. But when AI generates code continuously and autonomously, at a speed no traditional security process can keep up with, vulnerabilities spread long before a scanner ever runs. Risk is compounding while security struggles to catch up.

In this episode, Dave Rubinstein speaks with Eran Kinsbruner, vice president of marketing at AppSec company Checkmarx. Among the topics discussed are:

-- Why traditional AppSec tools can't keep pace with AI-generated code

-- The need to ensure security from the beginning of the project

-- How the SDLC is morphing into assn ADLC -- Agentic Development Life Cycle

In this episode, Dave speaks with Derek Holt, CEO at digital.ai, to discuss how AI should be used in testing to give organizations the most value.

In this podcast, they talk about:

-- How AI pays off when it handles pattern-heavy, low-judgment work

-- How fully autonomous, “one-click” QA has issues

-- What organizations can do to get started using AI in software testing

In this episode, Dave interviews Sydnee Mayers, product lead at Cribl, about the skills developers need to thrive in 2026.

They discuss:

• How the development role is changing
• The specific skills developers need going forward
• How organizations should handle the speed at which things are changing

In this episode, Jenna interviews Adi Polak, director of advocacy and developer experience engineering at Confluent, about why developers need to embrace a head chef mindset when working with AI agents.

They discuss:

• What it means to adopt a "head chef" mindset
• The mental shifts needed to work this way
• What role data streaming plays in enabling this