Deploying a git server using ansible with notifications via Bugout.dev
Hello, today we will set up our private git server and organize status notification delivery using Bugout.dev. Here is the link to the repository withRead More »
An alternative approach from GPT-3 Copilot to improve developer productivity
To be honest, I’ve always been sceptical about AI-based autocomplete. When I program, I’m deeply focused on a problem and I have my preferences onRead More »
How to use SecretStorage in your VSCode extensions
There are several ways to save user data in VSCode. Until version 1.53.0 all private information used to be kept in Memento objects using workspaceState and globalState or keytar for example. Keeping passwords with tokens in a standard configuration file or using environment variables wasn’t a good idea either, because all that data could be read and cached by other extensions.
How my OpenAI scholarship inspired me to create my own product
The origins of Bugout.dev: Why I care about error reporting and user journey I dreamed of being a professional ballerina since I was 3 yearsRead More »
Introducing a Python code generator to automatically add logging and crash reports in your code base
Our long-term vision at Bugout is to create code generation algorithms that can automatically fix bugs. Imagine you have a production breakdown at 2am and,Read More »
Bugout.dev - A Community of Creators by Creators for Creators
I discovered technology from a damaged background. My childhood was spent in a professional ballet school where teachers didn’t care much about their students’ confidence.Read More »
Break out of the deployment death loop
Continuous integration services like Jenkins, Bitbucket Pipelines, CircleCI, GitHub Actions, Gitlab CI/CD force extreme automation. They require your continuous integration flows to run non-interactively inRead More »
Commenting on PRs from GitHub Actions
This is a short note which explains how to set up a GitHub Action to post a comment on a pull request. The GitHub MarketplaceRead More »
ML Model Risk Management: How to Bring Explainability and Robustness in Production
Finance is one of the most regulated industries in the US, which makes application of cutting-end technologies, like artificial intelligence and machine learning, much harder.Read More »
How the GPT-3 model works in production
GPT-3 has generated lots of buzz and attention from the machine learning and AI research communities and diverse opinions about the capabilities of the model. Read More »
How to mitigate the pain of dataset management
How to store, provide easy access and ensure version control of unstructured data is an open-ended question and is a challenge for more than 200KRead More »
How to translate ML predictions into practical solutions by Kaggle Learn creator Dan Becker
We have a great community of developers on Slack and our goal is to support each other in any way we can: either by providingRead More »
Federated Learning Technology Explained: Google’s use case [Part II]
We continue to discuss Federated Learning technology and its applications. Check out the first part here where we highlighted FL basics. This part is focusedRead More »
Federated Learning Technology Explained: Google’s use case [Part I]
As of July 2020, 4.78 billion people in the world own smartphones. The number of IoT devices on the planet reached 26.66 billion at theRead More »
Which Python Coders Will Transform AI’s Future?
“He was spoilt from childhood by the Future, which he mastered rather early and apparently without great difficulty.” When we think of developers in AI,Read More »
Privacy-aware Machine Learning: How To Train ML Models in a Remote Environment [Part II]
We are continuing our sequence of articles with practical suggestions on how to build machine learning models without compromising user privacy. In the first articleRead More »
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