THE KERNO BLOG
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Dr. Michael Coughlan
∙
February 10, 2026
Runtime evaluation of coding agents
Why coding agents win: how evaluation by execution creates a neurosymbolic feedback loop for objective truth and architectural reliability in AI.
Sean Madigan
∙
February 10, 2026
Understanding the LLM Marginal Costs
Learn why the era of cheap AI is over, and how tracking every token could mean the difference between profit and bankruptcy.
Sean Madigan
∙
February 5, 2026
AI-DLC Startup Edition
Here is how 50 AI native startups and scaleups with over 1 billion dollars in funding are building software in the age of AI.
Dr. Michael Coughlan
∙
January 29, 2026
Building Trustworthy Agents: The Business Case for Rigorous Evaluation Frameworks
Why agents need evals, and bias checks, how they differ from writing traditional software, and how feedback loops are critical for building AI systems.
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
Jordan Bergin
∙
27 Nov 25
Teaching Agents to Write and Self-Correct End-to-End Test Scenarios
Jordan Bergin
∙
01 Dec 25
How Local Prompt Caching Reduces Tokens in Tool-Driven LLM Workflows
Jordan Bergin
∙
14 Nov 25
Giving the Kerno Agent Agency to Create Docker Compose
Antoine Frau
∙
11 Nov 25
Improving Trace Visibility and Reproducibility in Langfuse
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
Jordan Bergin
∙
27 Nov 25
Teaching Agents to Write and Self-Correct End-to-End Test Scenarios
Jordan Bergin
∙
01 Dec 25
How Local Prompt Caching Reduces Tokens in Tool-Driven LLM Workflows
Jordan Bergin
∙
14 Nov 25
Giving the Kerno Agent Agency to Create Docker Compose
Antoine Frau
∙
11 Nov 25
Improving Trace Visibility and Reproducibility in Langfuse
Dr. Michael Coughlan
∙
February 10, 2026
Runtime evaluation of coding agents
Why coding agents win: how evaluation by execution creates a neurosymbolic feedback loop for objective truth and architectural reliability in AI.
Sean Madigan
∙
February 10, 2026
Understanding the LLM Marginal Costs
Learn why the era of cheap AI is over, and how tracking every token could mean the difference between profit and bankruptcy.
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
Jordan Bergin
∙
27 Nov 25
Teaching Agents to Write and Self-Correct End-to-End Test Scenarios
Jordan Bergin
∙
01 Dec 25
How Local Prompt Caching Reduces Tokens in Tool-Driven LLM Workflows
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
From Vibe Coding to Production-Ready Code
AI code-gen writes code at lightning speed—but without context, it's a chaos generator. We need to move from less vibe to more verified!
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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