Many business processes involve communicating with external parties such as suppliers, logistics providers, insurance providers, and government institutions. Unlike internal communications, these inter-organizational communications usually have to follow various regulations and standards, and could introduce delays if one party doesn’t comply. Therefore, effective business-to-business (B2B) integrations are a key part of most digital transformation projects.

Continuous integration (CI) pipelines are an important part of building and deploying reliable software. Whether it's building a Docker image, running tests, or even just doing code linting, CI pipelines help you automate repetitive tasks and ship better code even faster. GitHub Actions lets you create pipelines to build containers, test source code, and publish software.

Are you thinking about hand-coding an API? You have the perfect application in mind. It has an attractive UI and achieves everything the customer wants. However, it needs to connect with a Microsoft SQL Server database, so you have to start working on the data model and API. Hand coding APIs offers greater customization and control but is time-intensive, whereas API generation provides a faster, more streamlined approach with automated tools, albeit with less flexibility.

One method that developers use to submit code modifications for evaluation is known as pull requests (PRs). We discussed the advantages of testing PRs in software development in a previous post but before merging into the main branch, they give team members a chance to talk about the changes, make suggestions, and accept or reject the code. To keep code quality high and make sure that the team reviews all changes, this approach is essential.

BigQuery data preparation is an AI-first solution that streamlines and simplifies the data preparation process as part of Gemini in BigQuery.

Imagine your development team just rolled out a new feature that fixes a bug but now some parts of your software that used to work flawlessly have stopped working. This is a common risk in Agile development, where changes come fast and often. Since Agile moves quickly with constant updates, regression testing is a key part of making sure the software stays reliable. With each new update, there’s a risk that changes might impact parts of the software that were already working well.

Your docs are a lot like your family—not in the corporate jargony “we are a family” way, but more in the “can’t live with them, can’t live without them” way. Yes, these docs are crucial in more ways than one, but teams that regularly work with them know that the time they spend searching for, cleansing, and prepping their docs can be better utilized elsewhere.

The GenAI revolution is well and truly here. To take inspiration from our favorite comfort show, Gilmore Girls, “It’s GenAI’s world, and we’re just living in it.” In fact, McKinsey reports the number of organizations regularly using GenAI has doubled in ten months between their 2023 and 2024 surveys.

Managing issue tracking across teams can be straightforward with centralized platforms like GitHub or BitBucket. But what happens when your testing needs go beyond basic coordination?

Dynamic real estate market requires businesses to act fast and effectively. Having software that can automate most of your business and management-related tasks is a wise choice. When it comes to deploying a real estate analytics platform, you need to decide between two approaches — custom software and ready-made solutions.