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AI-powered coding tools are becoming more commonplace within developer workflows. GitHub Copilot is a popular AI coding assistant that can be integrated directly into IDEs or as a standalone chat interface. This tool helps you write code faster and with less effort by auto-completing code in real time, generating blocks of code from natural language prompts, and answering your questions to help you get over coding hurdles and roadblocks.

Merge conflicts can derail your workflow at the worst possible moment. You’re making progress, ready to push your changes, and then suddenly—you hit a conflict. Now you have to stop, figure out what changed, track down a teammate, and resolve the issue before moving forward. It’s frustrating, time-consuming, and disrupts your momentum.

Velocity isn’t just about how fast developers write code—it’s about how efficiently that code moves from idea to production. Yet many teams struggle with an invisible bottleneck: inconsistent workflows. Without clear, standardized processes, teams hit avoidable roadblocks that slow them down in ways that aren’t always obvious. PRs linger in review, merge conflicts become routine, and onboarding a new developer feels like an unwritten scavenger hunt. The worst part?

Healthchecks can now notify you about a failing check by opening a new issue in your chosen GitHub repository. Here is an example of how the GitHub issue might look: The technical side of creating a new issue is straightforward: GitHub has an API call for creating an issue. You make an HTTP POST request with an access token in a request header and the issue title, body, and labels in the request body. However, where do we get the access token from? The API call accepts three types of access tokens.

Every development team has a workflow. But if it’s not standardized, it’s quietly draining time, energy, and productivity—without you even realizing it. A lack of consistent processes in branching, PRs, code reviews, and deployments doesn’t just create friction—it’s a silent tax on your entire team. And the cost? Easily 20+ hours per developer per month spent fixing avoidable issues instead of shipping great code.