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CircleCI

What is microservices architecture?

Microservices architecture is a method of developing software systems that structures an application as a collection of loosely coupled services, each focusing on a single function or business capability. Each service operates within a discrete, confined context, communicating with other services through well-defined interfaces — typically APIs.

Test-driven development (TDD) explained

Test-driven development (TDD) is a software development process that involves writing tests for your code before you write the code. This approach has transformed the development methodology around testing. While the traditional waterfall model of software development was linear, with testing occurring near the end of one long timeline, TDD makes testing an ongoing, iterative process.

What's in store for AI in 2024 with Patrick Debois

In this episode, Rob is joined by Patrick Debois, a seasoned industry expert and DevOps pioneer. Patrick shares his personal odyssey within the realm of DevOps, reflecting on the current state of the industry compared to his initial expectations. The conversation delves into the convergence of business analytics and technical analytics, exploring innovative approaches developers are adopting to integrate generative AI into their products.

Prompt engineering: A guide to improving LLM performance

Prompt engineering is the practice of crafting input queries or instructions to elicit more accurate and desirable outputs from large language models (LLMs). It is a crucial skill for working with artificial intelligence (AI) applications, helping developers achieve better results from language models. Prompt engineering involves strategically shaping input prompts, exploring the nuances of language, and experimenting with diverse prompts to fine-tune model output and address potential biases.

Testing a PyTorch machine learning model with pytest and CircleCI

PyTorch is an open-source machine learning (ML) framework that accelerates the path from research prototyping to production deployment. You can work with PyTorch using regular Python without delving into the underlying native C++ code. It contains a full toolkit for building production-worthy ML applications, including layers for deep neural networks, activation functions and optimizers. It also has associated libraries for computer vision and natural language processing.

Dave Farley reflects on 25 years of software development & the future of AI

In this episode Rob is joined by Dave Farley, software legend and author of books "Continuous Delivery" and "Modern Software Engineering”. The two tackle the essence of software development culture and the current state of software delivery. They unpack why it’s important to prioritize problem-solving abilities over technical skills when it comes to hiring, emphasizing a healthy culture and the need for continuous learning on the job.

What's next for CI/CD? Analyst predictions

In today’s episode, Rob is joined by CircleCI’s own Aisling Conroy. Aisling, a key player in CircleCI’s product marketing and competitive intelligence, provides a window into the thoughts of analysts in the ever-evolving CI/CD space. Their discussion explores how the power of diverse perspectives in problem-solving can yield many different types of product offerings.