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Effective Practices for Coding with a Chat-Based AI

In this article, we explore how AI agents are reshaping software development and the impact they have on a developer’s workflow. We introduce a practical approach to staying in control while working with these tools by adopting key best practices from the discipline of software architecture, including defining an implementation plan, splitting tasks, and so on.

Enrico Piccinin
on Jul 04, 2025
AI, ML & Data Engineering

Elevate Developer Experience with Generative AI Capabilities on AWS

This is a summary of a talk I gave at InfoQ Dev Summit Munich 2024. I discussed the transformative potential of generative AI in enhancing developer experiences, particularly through AWS. I’ll introduce key tools like Amazon Bedrock, Code Review Assistant, Agentic Code Generation, and Code Summarization in this article.

Olalekan Elesin
on Jan 27, 2025
Development

How to Use Multiple GitHub Accounts

Git is a popular tool for version control in software development. It is not uncommon to use multiple Git accounts. Correctly configuring and switching Git accounts is challenging. In this article, we show what Git provides for account configuration, its limitations, and the solution to switch accounts automatically based on a project parent directory location.

Artur Ampilogov
on Apr 30, 2024
DevOps

Lessons Learned from Enterprise Usage of GitHub Actions

GitHub Actions is an effective CI tool. However, integrating it into enterprise organizations can be challenging. This article looks at best practices for GitHub Actions in the enterprise.

Greg Jacobs
on Jan 10, 2023
Architecture & Design

A Standardized, Specification-Driven API Lifecycle

At QCon Plus last November, Kin Lane, Chief Evangelist with Postman, and the Open Technologies Team lead presented on API specifications. API specifications are essential to him and at Postman. So he wanted to share a bit of how they see API specifications impacting how they produce and consume APIs.

Kin Lane
on Mar 15, 2022
Culture & Methods

GitHub’s Journey from Monolith to Microservices

This article explores GitHub's recent journey towards a microservices architecture. It takes a deeper look at GitHub’s historical and current state, goes over some internal and external factors, and discusses practical consideration points in how Github tackled their migration, including key concepts and best practices of implementing microservices architecture.

Sha Ma
on Jul 28, 2021
Culture & Methods

Consensual Software: How to Prioritize User Safety

This article covers how consensual software will help address online harassment and abuse vectors before they get out of hand. It also covers some features the GitHub Community & Safety team has built and how we review features from other teams.

Danielle Leong
on May 18, 2017
Development

An Open API Initiative Update

The Open API Initiative group is evolving what has become the de-facto standard API Description Format to produce a consistent and compatible format for describing APIs, allowing interoperation between tooling, systems, and runtime environments. Tony Tam, creator of the popular Swagger Specification is providing an update on the group activity.

Deepak Nadig
on Sep 30, 2016
Interview with Mike McQuaid about Git in Practice

Mike McQuaid, Software Engineer at GitHub, has written "Git in Practice" which provides over 60 techniques for working with and managing Git projects. InfoQ caught up with Mike, and asked about it, including his advice for teams considering migrating to Git and what tools to use.

Alex Blewitt
on Mar 04, 2015
Git and GitHub LiveLesson Review and Q&A with the Author

Git and GitHub LiveLessons, published by Addison-Wesley Professional, is a video course based on a live workshop given by Peter Bell. No previous experience with Git or other source code management tools is assumed. Here, we present the course content and finally ask a few questions to the course's author.

Sergio De Simone
on Nov 14, 2014
Blueprint for a Big Data Solution

In his new article Jonathan Natkins explains how to use components of Apache Hadoop, including Flume, Hive and Oozie to implement a typical Data management system. He also gives a practical example of such architecture to measure Twitter user’s influence.

Jonathan Natkins
on Oct 31, 2012

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