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At a recent job, we had slightly different containers for local dev; our backend containers (for a Go app) had Air [1] installed for live reloading, plus Delve [2] running inside the container for VS Code's debugger to connect to. We also had a frontend container for local dev, which didn't get deployed as a container, just as static files. [1] https://github.com/cosmtrek/air. - Source: Hacker News / 6 months ago
So in my case I use https://github.com/leoluz/nvim-dap-go (which itself calls out to the CLI tool https://github.com/go-delve/delve). Source: over 1 year ago
I usually set up a scratch-pad module on my machines for quickly throwing some code together to play with. For debugging/checking attributes etc. there's delve, which is usually built in to various editor's respective Go plugin. Source: over 1 year ago
I use a debugger every day. Delve[0] Go's debugger made me love the process of debugging my code – either attaching the debugger to an existing running process or the feedback loop of debugging the test code until make it passes the test case. Back in the days when I didn't use one, it was a miserable developer experience. Thanks to Go and his great decision of having unit testing built into their standard now... - Source: Hacker News / almost 2 years ago
The required setup to debug a Go app running inside a Docker container is non-trivial. In this post I will walk through the configuration to achieve this using VSCode and the Delve debugger. - Source: dev.to / almost 2 years ago
Codeclimate.com — Automated code review, free for Open Source and unlimited organisation-owned private repos (up to 4 collaborators). Also free for students and institutions. - Source: dev.to / over 1 year ago
Want to know how to enforce allowing only high-quality software into production? Check out this post on how to use CodeClimate can help you do just that! #DevOps #SoftwareDeveloper #softwaredevelopment #SoftwareEngineering #webdevelopment #codequality. Source: almost 2 years ago
Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes... - Source: dev.to / almost 2 years ago
The new code should not drop existing code coverage I've found in practice mainly catches changes to existing code that lack proper updates to existing tests. Our company uses Code Climate for these checks, so we don't have to manage / write our own tooling for this purpose. Source: over 2 years ago
TL;DR: Using static analysis tools helps by giving objective ways to improve code quality and keeps your code maintainable. You can add static analysis tools to your CI build to fail when it finds code smells. Its main selling points over plain linting are the ability to inspect quality in the context of multiple files (e.g. Detect duplications), perform advanced analysis (e.g. Code complexity), and follow the... - Source: dev.to / almost 3 years ago
Sublime Web Inspector - Sublime Web Inspector enables users to debug Javascript right in the Sublime Text editor.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
FusionDebug - FusionDebug an interactive step debugger for ColdFusion Markup Language.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Error Prone - Error Prone is a bug detection tool for Java code, integrated into the Java compiler.
ESLint - The fully pluggable JavaScript code quality tool