THE KERNO BLOG
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Maxi Delo
∙
March 12, 2026
How To Use Skills To Write Better PRDs and Tickets
Using Skill.md and MCP to automate ticket creation with the full context of your product.
Dr. Michael Coughlan
∙
March 10, 2026
The Halting Problem in AI Coding
No algorithm can predict all program behaviour not even AI. The only way to know is to run the code.
Dr. Michael Coughlan
∙
February 27, 2026
LLM-as-a-Judge: Evaluating Output Without a Ground Truth
How to evaluate LLM output when there's no exact answer—configuration, failure modes, and deployment patterns for LLM-as-a-judge.
Jordan Bergin
∙
February 19, 2026
Multi-Agent Validation Gates: Why Claude Can't Break Our Architecture
Multi-stage validation gates catch architectural violations before AI-generated code reaches production.
Dr. Michael Coughlan
∙
10 Feb 26
Runtime evaluation of coding agents
Sean Madigan
∙
10 Feb 26
Understanding the LLM Marginal Costs
Sean Madigan
∙
05 Feb 26
AI-DLC Startup Edition
Dr. Michael Coughlan
∙
29 Jan 26
Building Trustworthy Agents: The Business Case for Rigorous Evaluation Frameworks
Dr. Michael Coughlan
∙
16 Dec 25
Lessons from Biology for Scalable Compute Experiments
Antoine Frau
∙
24 Dec 25
Bulk Testing Docker Agent Performance Across 18 Codebases
Antoine Frau
∙
24 Dec 25
CLI Tooling for Agent Testing Pipelines
Dr. Michael Coughlan
∙
02 Dec 25
An Agent Evaluation Study: Assessing User Input in Test Plan Generation
Dr. Michael Coughlan
∙
27 Nov 25
Why the AI Bubble Matters Less to Builders Than People Think
Dr. Michael Coughlan
∙
10 Feb 26
Runtime evaluation of coding agents
Sean Madigan
∙
10 Feb 26
Understanding the LLM Marginal Costs
Sean Madigan
∙
05 Feb 26
AI-DLC Startup Edition
Dr. Michael Coughlan
∙
29 Jan 26
Building Trustworthy Agents: The Business Case for Rigorous Evaluation Frameworks
Dr. Michael Coughlan
∙
16 Dec 25
Lessons from Biology for Scalable Compute Experiments
Antoine Frau
∙
24 Dec 25
Bulk Testing Docker Agent Performance Across 18 Codebases
Antoine Frau
∙
24 Dec 25
CLI Tooling for Agent Testing Pipelines
Dr. Michael Coughlan
∙
02 Dec 25
An Agent Evaluation Study: Assessing User Input in Test Plan Generation
Dr. Michael Coughlan
∙
27 Nov 25
Why the AI Bubble Matters Less to Builders Than People Think
Maxi Delo
∙
March 12, 2026
How To Use Skills To Write Better PRDs and Tickets
Using Skill.md and MCP to automate ticket creation with the full context of your product.
Dr. Michael Coughlan
∙
March 10, 2026
The Halting Problem in AI Coding
No algorithm can predict all program behaviour not even AI. The only way to know is to run the code.
Dr. Michael Coughlan
∙
27 Feb 26
LLM-as-a-Judge: Evaluating Output Without a Ground Truth
Jordan Bergin
∙
19 Feb 26
Multi-Agent Validation Gates: Why Claude Can't Break Our Architecture
Dr. Michael Coughlan
∙
10 Feb 26
Runtime evaluation of coding agents
Sean Madigan
∙
10 Feb 26
Understanding the LLM Marginal Costs
Sean Madigan
∙
05 Feb 26
AI-DLC Startup Edition
Dr. Michael Coughlan
∙
29 Jan 26
Building Trustworthy Agents: The Business Case for Rigorous Evaluation Frameworks
Dr. Michael Coughlan
∙
16 Dec 25
Lessons from Biology for Scalable Compute Experiments
Antoine Frau
∙
24 Dec 25
Bulk Testing Docker Agent Performance Across 18 Codebases
Antoine Frau
∙
24 Dec 25
CLI Tooling for Agent Testing Pipelines
Sean Madigan
∙
November 10, 2025
eBPF – The Best Kept Secret in Technology
eBPF enables low-overhead, real-time observability and security, powering AI-native apps without sidecars, agents, or manual instrumentation
Vladimir Romanov
∙
November 16, 2025
Network Observability
Observability is used to describe the ability to understand the current or past state of a software system.
Karim Traiaia
∙
November 10, 2025
Programming the Kernel with eBPF
Learn about eBPF, an exciting new technology that makes programming the kernel flexible, safe, and accessible to developers.
Vladimir Romanov
∙
November 10, 2025
Understanding What is ECU in AWS
An ECU is an EC2 Compute Unit used to measure the power of resources in the cloud. Based on that single ECU, the user can...
Vladimir Romanov
∙
10 Nov 25
DevOps Pipeline - Understanding the Steps, Benefits, and Tools for Developers
Vladimir Romanov
∙
10 Nov 25
DevSecOps with GitLab CI
Vladimir Romanov
∙
16 Nov 25
Advanced Workflows in GitHub Actions
Vladimir Romanov
∙
16 Nov 25
CI CD Pipelines with GitHub Actions
Vladimir Romanov
∙
10 Nov 25
IAM Roles for Service Accounts
Vladimir Romanov
∙
16 Nov 25
GitOps with Kubernetes
Vladimir Romanov
∙
10 Nov 25
Kubernetes Monitoring | Tools & Techniques You Should Know
Vladimir Romanov
∙
16 Nov 25
Exploring Amazon EKS Cluster Management with EKSCTL: A Comprehensive Overview
Vladimir Romanov
∙
10 Nov 25
Kubernetes Ingress: Efficient Strategies for Service Routing
Vladimir Romanov
∙
10 Nov 25
DevOps Pipeline - Understanding the Steps, Benefits, and Tools for Developers
Vladimir Romanov
∙
10 Nov 25
DevSecOps with GitLab CI
Vladimir Romanov
∙
16 Nov 25
Advanced Workflows in GitHub Actions
Vladimir Romanov
∙
16 Nov 25
CI CD Pipelines with GitHub Actions
Vladimir Romanov
∙
10 Nov 25
IAM Roles for Service Accounts
Vladimir Romanov
∙
16 Nov 25
GitOps with Kubernetes
Vladimir Romanov
∙
10 Nov 25
Kubernetes Monitoring | Tools & Techniques You Should Know
Vladimir Romanov
∙
16 Nov 25
Exploring Amazon EKS Cluster Management with EKSCTL: A Comprehensive Overview
Vladimir Romanov
∙
10 Nov 25
Kubernetes Ingress: Efficient Strategies for Service Routing
Sean Madigan
∙
November 10, 2025
Truck Factor: The Silent Debt
Explore the Truck Factor, its impact on engineering teams, and strategies to prevent knowledge silos from stalling development.
Sean Madigan
∙
November 10, 2025
When Collaboration Becomes Counterproductive for Engineers
While collaboration is essential, its misuse in problem-solving can prolong issues and magnify costs.
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