Diffblue Cover is an AI agent for testing complex Java code at scale. Check out their docs to get started automating unit tests today.This article will help you understand the difference between Diffblue Cover and Copilot.Find Animesh on LinkedIn.Stack Overflow user Keet Sugathadasa earned a Populist badge by answering a question in the CI/CD Collective: Git ... Show More
Yesterday
If context is king, architecture is the castle
Recorded live at the AI Agent Conference, Ryan sits down with Apollo GraphQL CEO Matt DeBerglis to discuss how enterprises can leverage GraphQL and MCP as a structured semantic architecture to feed clean data to autonomous agents, safeguard internal microservices against unpreced ... Show More
26m 42s
Jun 12
Developers are emotionally attached to their tools
Ryan welcomes Trisha Gee, a Java champion and developer productivity advocate, to explore how AI is transforming the role of IDEs and the broader developer experience; the relevance of traditional tools, muscle memory, the risks of hype; and how to adapt workflows for AI-driven d ... Show More
34m 8s
Jun 11
When the cost of code approaches zero, what does engineering leadership look like?
On this episode of Leaders of Code, Eric Anderson, director of engineering at Intuit, joins Stack Overflow engineering director Ben Matthews to talk about what happens to software teams when AI makes code generation seemingly free.Eric explains how Intuit rolled out Claude Code a ... Show More
33m 41s
Jan 2022
MLA 020 Kubeflow and ML Pipeline Orchestration on Kubernetes
<div> <p>Machine learning pipeline orchestration tools, such as SageMaker and Kubeflow, streamline the end-to-end process of data ingestion, model training, deployment, and monitoring, with Kubeflow providing an open-source, cross-cloud platform built atop Kubernetes. Organizatio ... Show More
1h 8m
May 2024
MLOps + DevOps + Kubernetes with Annie Talvasto
<p>Machine learning models need updating - what's the reliable way to do it? While in Romania, Richard sat down with Annie Talvasto to talk about her work helping to build DevOps practices around machine learning: Building repeatable processes for data ingestions, cleaning, organ ... Show More
33m 17s
Jul 2022
Writing, Learning and Tech, with Ian Miell
<p><a href="https://twitter.com/IanMiell">Ian Miell</a> is a partner at consultancy Container Solutions, and an author of books on Bash, Git, Terraform and Docker. He explains to Craig how writing - whether runbooks, blog posts, training courses, or "real" books, can help you lea ... Show More
45m 38s
Jul 2024
#225 The Full Stack Data Scientist with Savin Goyal, Co-Founder & CTO at Outerbounds
The role of the data scientist is changing. Some organizations are splitting the role into more narrowly focused jobs, while others are broadening it. The latter approach, known as the Full Stack Data Scientist, is derived from the concept of a full stack software engineer, with ... Show More
48m 44s
Feb 2024
Kubernetes stale reads, with Madhav Jivrajani
<p dir="ltr"><a href= "https://www.linkedin.com/in/madhav-jivrajani/">Madhav Jivrajani</a> is an engineer at VMware, a tech lead in SIG Contributor Experience and a GitHub Admin for the Kubernetes project. He also contributes to the storage layer of Kubernetes, focusing on reliab ... Show More
43m 37s
Nov 2024
scikit-learn & data science you own
We are at GenAI saturation, so let’s talk about scikit-learn, a long time favorite for data scientists building classifiers, time series analyzers, dimensionality reducers, and more! Scikit-learn is deployed across industry and driving a significant portion of the “AI” that is ac ... Show More
52m 2s
Jun 2025
AI PM Crash Course 2026: Prototyping → Observability → Evals
Every PM has to build AI features these days. And with that means a completely new skill set:- AI prototyping- Observability, Akin to Telemetry- AI Evals: The New PRD for AI PMs- RAG v Fine-Tuning v Prompt Engineering- Working with AI EngineersSo, in today’s episode, I bring you ... Show More
2h 4m