Latest from Saqib
So Agentic Systems Are Messing Up Your SLO Framework
Traditional SLOs cannot show whether AI agents are behaving correctly. Platform teams need layered metrics for infrastructure, inference and behavioral reliability.
Aug 4, 2026 · 3 minAll articles by Saqib Jan
Showing 1–16Validation Debt That Your Dashboards Are Not Showing
The gap between how fast AI writes code and how reliably teams verify it is quietly becoming a balance-sheet risk. Enterprise leaders are learning to measure it before it forces repayment. Every engineering organization that adopted AI coding assistants over the past two years has quietly taken on a liability that never appears on the […]
AI-Native Testing Is Now a Core Quality Engineering Discipline
Predictions from some of the most prominent voices in the technology industry suggest that software engineering could become increasingly obsolete within a year, jolting the developer community in ways that are still unfolding. The ripple effect spreads further across social media and news outlets, with some leaders urging developers to start seriously considering alternative career […]
AI-Generated Code Is Cheap But the Context Infrastructure Behind It Is Not
The cost curve for generating code with AI has moved in one direction, and it has moved fast. What used to require a senior engineer’s full attention for an afternoon can now be scaffolded in minutes, and the price per token for the models doing it keeps falling. By the metric that dominated every early […]
Your AI Testing Framework Might Be Passing Tests It Should Be Failing
Engineering teams are not evaluating whether AI belongs in their testing workflows anymore, but are discovering, sometimes painfully, that the architectural decisions they made when integrating it are the ones that will determine whether it improves their release confidence or quietly erodes it.
Agentic Systems are Breaking Reliability Frameworks
Agentic AI systems introduce “silent failures” that bypass traditional SOC alerts. Learn why DevOps and Security teams must shift from deterministic assertions to distribution-based testing and runtime behavioral boundaries.
Ready or Not, AI is Rewriting the Rules for Software Testing
Discover how the emergence of autonomous AI agents is revolutionizing software quality assurance, emphasizing behavior validation, MLOps, and dynamic testing frameworks.
Tackling the AI-Fueled API Explosion With Visibility
Ultimately, transforming the potential risks of an API explosion into a powerful engine for AI acceleration hinges on one critical capability: Comprehensive visibility.
What Happens When AI Starts Writing Your APIs?
The leaders who recognize that governing their APIs is governing their AI will be the ones who innovate responsibly and build a lasting competitive advantage.
Beyond API Sprawl: Solving the API Paradox Will Define Your AI Future
Ultimately, untangling API sprawl isn’t just an IT cleanup project; it’s a critical business imperative, especially in the age of AI.
Accelerating DevOps Pipelines With AI-Native Testing
An in-depth look at AI-native testing and the capability it has of pushing things through the DevOps pipeline, faster.
Chaos Engineering for APIs: Integrate Failure Testing into Your CI/CD Pipeline
Adopting chaos engineering is not just about tools and processes. It can also lead to a significant shift in how development teams view failure.
Optimizing CI/CD Pipelines for Developer Happiness and High Performance
Focusing on DevEx through strategic CI/CD optimization can transform the development lifecycle and significantly improve developer productivity.
Ephemeral Environments are Better for Scaling Your Tests
Quality is a top priority for every engineering leader, not just in terms of user experience and high availability, but also faster turnaround while making developers’ lives easier, instead of just verifying that all features and functions are working as expected.
Why Startups are Betting Big on Low-Code/No-Code
It is exhaustive — from infrastructure to app delivery, from data to applications — to modernize your practices, processes and providers to ensure you have the underlying foundation to take advantage of whatever comes next. Two or three years ago, apps created through low-code/no-code platforms were not usually as detailed under the surface as software […]
Supercharging Ansible Automation With AI
Whether the latest incarnations of generative AI will live up to their seemingly great promise remains to be seen. This does not always happen with new technology, but the torrent of AI advancements is promising disruption across nearly every industry. Instead of posing a threat to human roles, AI now aims to make tasks easier, […]