
Headless DevOps Gives AI Agents Access to Delivery Workflows
Federico Larsen joins Alan Shimel to examine agent-accessible delivery workflows, API and MCP interfaces, and the testing and security checks needed for headless DevOps.

GitHub Workflows Strain Under AI Agent Development
Coder CEO Rob Whiteley joins Mike Vizard to explain why GitHub workflows, CI/CD pipelines and developer platforms are showing strain under agentic development — and what a policy-aware redesign of the DevOps stack should look like.

Trusted Open Source Catalogs for AI and Developers
Leslie Pascual of ActiveState joins Alan Shimel to explain why trusted open source catalogs — not after-the-fact scanners — are becoming table stakes as AI agents pull components at machine speed.

AI Raises the Stakes for Observability Engineering
Honeycomb’s Liz Fong-Jones joins Alan Shimel to explain why observability engineering has become the real bottleneck in AI-assisted development — and how agent-assisted workflows are reshaping the loop.

The Verification Gap Behind Every AI-Generated Release
Sauce Labs CEO Prince Kohli joins Mike Vizard to unpack why AI code generation is racing ahead of testing — and why 80 percent of organizations have already traced a production incident back to AI-generated code.

AI Code Generation Raises New Quality Risks
Mladen Lazic, CTO of Scopic, joins Mike Vizard to explain why AI-generated code is outpacing review capacity — and why independent QA agents that never see the source code are becoming essential.

Why Agentic Coding Needs Governance at Scale
CloudBees CEO Moritz Plassnig joins Alan Shimel to explain why agentic coding is exposing every unfinished piece of the DevOps transformation — and why AI-scale delivery needs AI-scale governance.

Mezmo Open Sources AI SRE Operations
Site reliability engineering has been quietly buckling under its own success. The scope of what SRE teams are expected to own — observability, incident response, telemetry pipelines, capacity, cost, resilience — keeps growing while the tools underneath fragment further. AI is showing up as both the reason the workload keeps expanding and the most credible […]

Why Your Best People Can’t Save a Broken Delivery System
When delivery falls apart, the reflex is to blame the team. Missed dates, quality slips, a burned-out squad — leadership tends to reach for a personnel fix and quietly move on. The uncomfortable pattern in most enterprise organizations is that the system itself is the failure mode. Decision latency, priority misalignment, and layers of governance […]

AI Coding Agents Are Pulling CI Feedback Into the Inner Loop
The traditional shape of CI/CD assumed humans worked in the inner loop and pipelines policed the outer one. AI coding agents are tearing that geometry apart. When code can be generated in seconds, waiting until a pull request to run validation, tests, code review and standards checks turns the outer loop into a backlog of […]

AI Is Accelerating How Fast We Build the Wrong Thing
AI coding assistants have made it trivially easy to ship software faster — and that is precisely the problem. Human developers used to absorb the gaps in a vague spec by asking questions, reading between the lines and quietly steering toward something useful. AI tools do not work that way. They take incomplete requirements at […]

CDEvents Simplifies AI-Ready Developer Platforms
Internal developer platforms have become a tangled web of orchestration tools, CI runners and deployment systems that rarely speak the same language. Every new integration adds another translation layer, and as AI-driven automation starts to plug into those pipelines, the lack of a shared vocabulary for what is actually happening across the software delivery lifecycle […]

Why the Trust Layer Is the Next Thing Developers Will Commodify
Engineering roadmaps inside enterprises that never planned to build AI products are now being eaten by AI work. Teams at hospitals, banks and government agencies are spending huge chunks of their sprint capacity wiring up models, UI components and accessibility plumbing for AI features that aren’t core to what their business actually does. The mismatch […]

OpenTelemetry Graduation Sets Stage for AI Observability
OpenTelemetry just hit graduated status at the CNCF, and the timing matters more than the milestone itself. After years of consolidating what used to be OpenTracing and OpenCensus, the project has quietly become the default way modern applications emit traces, metrics and logs — right as the industry is staring down a new wave of […]

Software Weaponization Raises DevSecOps Stakes
The threat model that DevSecOps teams have been working from for the last decade was built around accidental vulnerabilities — mistakes that needed to be found and fixed before someone exploited them. That assumption is breaking. Vulnerabilities are increasingly being treated as strategic assets, stockpiled by nation-states and threat actors and held back from disclosure […]

The Messy Reality of Vibe Coding
The default reaction to vibe coding has been alarm — a default assumption that letting AI write large chunks of an application is going to flood production with vulnerabilities and undocumented behavior. That fear is doing as much damage as the bad code people are afraid of. Teams that freeze, ban the tools or push […]

Embracing the MCP Suck: Taming the Wild West of AI Protocols
The Model Context Protocol (MCP) is moving faster than the developer community can keep up with, racing past its original design parameters and leaving teams scrambling to build clients that can match its pace. The result is an ecosystem where the protocol itself keeps shifting under everyone’s feet, and where the tooling, conventions and security […]

The Open Source Trap: Why Trust Isn’t a Security Strategy
The XZ Utils backdoor was a wake-up call, but the underlying problem it exposed has not gone away. Sophisticated adversaries are playing the long game, spending months or years earning trust within open source projects before introducing malicious code into libraries that sit at the foundation of modern software infrastructure. Mike Vizard and Josh Bressers, […]

Why Code Validation is the Next Frontier
Shared staging environments were never designed for a world where dozens of changes land in a codebase every hour. Yet most engineering teams still depend on them as the primary checkpoint before production. Alan Shimel and Arjun Iyer, CEO of Signadot, dig into why that model is falling apart and what needs to replace it. […]

Giving AI Agents the Keys to Real Infrastructure
AI coding assistants can generate pull requests faster than most teams can review them, and that mismatch is creating a new kind of bottleneck across engineering organizations. The volume of AI-generated code is growing rapidly, but without a reliable way to validate that code against real production environments, teams are left choosing between slowing down […]

AI Is Forcing DevOps Teams to Rethink Observability Data Management
As AI coding tools accelerate software delivery, they are also intensifying a problem DevOps and SRE teams have been dealing with for years: the unchecked growth of observability data. In this conversation, the founders of Sawmills argue that telemetry volume is no longer just a cost issue. It is becoming a data quality problem that […]

Why AI-Generated Code Is Raising the Stakes for Secrets Management
Following a $50 million funding round, GitGuardian CEO Eric Fourrier discusses why secrets security is becoming a much bigger problem in the age of AI-generated code and autonomous agents. As more organizations rush to deploy coding assistants and AI agents, Fourrier argues that the number of exposed credentials, API keys and tokens is rising just […]

OpenTelemetry Is Paving the Way for the Rise of the Observability Warehouse
Eric Tschetter, chief architect at Imply and creator of Apache Druid, explains how the rapid adoption of open source OpenTelemetry for instrumenting applications is reshaping modern observability architectures. As telemetry data volumes surge, organizations are moving toward an “observability warehouse” model that unifies logs, metrics and traces into a scalable analytics foundation capable of delivering […]
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