InfoQ Homepage Debugging Content on InfoQ
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OpenAI Releases Transformer Debugger tool
OpenAI has unveiled a new tool called the Transformer Debugger (TDB), designed to provide insights into the inner workings of transformer models. The tool was developed by OpenAI's Superalignment team and combines automated interpretability techniques with sparse autoencoders.
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Booking.com Doubles Delivery Performance Using DORA Metrics and Micro Frontends
The team in Booking.com’s fintech business unit implemented a series of improvements across the backend and the frontend of its platform and was able to double the delivery performance, as measured by DORA metrics. Additionally, the Micro Frontends (MFE) pattern was used to break up the monolithic FE application into multiple decomposed apps that could be deployed separately.
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GitHub CodeQL Code Scanning Now Supports Setting a Threat Model
GitHub has recently extended its CodeQL-based code scanner by adding the possibility to specify the desired threat model. The new feature is available in beta for the Java language.
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The Upsides and Downsides of Open Source Adoption
Benefits of open source projects are supporting rapid innovation, the flexibility provided to customize and adapt tools, and transparency of the code which can enhance security efforts. The downsides are that security by obscurity doesn’t apply, open source is potentially prone to abuse, and when open source tools are not backed up by companies, it might result in a lower level of maintainability.
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Swift 5.9 Backtracer is Now Concurrency-Aware, Improves Readability and Linux Support
Besides extending the language through macros and borrow-stile memory management, Swift 5.9 also introduces some helpful features for program debugging, including an out-of-process crash handler, just-in-time debugging support, and backtracking to makes it easier to interpret control flow when using structured concurrency.
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ReSharper 2023.2 IDE Includes Predictive Debugger
At the beginning of August, JetBrains introduced a predictive debugger in the 2023.2 version of ReSharper, its developer productivity extension for Microsoft Visual Studio. The predictive debugger anticipates the future of code execution without actually executing the code and provides visual cues to aid in understanding code behavior.
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Uno Platform Visual Studio Code Extension Introduces Mobile Debugging
Uno Platform, a framework for building native mobile, desktop, and WebAssembly apps with C# and XAML, released a new version of the Visual Studio Code extension. The new version adds support for building mobile applications as well as debugging them directly from Visual Studio Code.
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Cross-Industry Report Identifies Top 10 Open-Source Software Risks
Promoted by Endor Labs and featuring contributions from over 20 industry experts, the new Endor Labs Station 9 report identifies the top operational and security risks in open-source software.
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GitHub Enhances CodeQL, Extends Language Support, Available Queries, and More
After adding support for Ruby at GitHub Universe 2022, CodeQL introduced Kotlin support in beta. Additionally, support for other languages has been extended to include more recent versions. GitHub has also extended available queries to fully cover several industry-wide vulnerability directories, and improved the CodeQL ecosystem.
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How We Can Use Data to Improve System Quality
To understand how systems are being used, we can collect metrics and identify trends over time. The data and insights gained can be used to improve system quality by improving software design or testing patterns.
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Komodor's Dashboard Brings Improved Debugging to Helm
Komodor's dashboard brings improved debugging to Helm. Helm Dashboard allows developers to quickly understand the status of Helm releases, with an intuitive interface showing the health of both the releases and the Kubernetes resources. The Dashboard provides visibility of common issues such as image version errors, resource limit problems and misconfiguration of secrets.
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Using Data to Predict Future Usage and Increase User Insights
By identifying usage trends, you can proactively adjust load, scaling, and routing to better handle the load on particular parts of the globe when you know it will peak there. Data about how users interact with your application can be used to design future features that better mimic these patterns and ensure that new features have a better chance of solving real user problems and getting adopted.
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New Observability Features for AWS Step Functions
Recently, AWS announced a new opt-in capability on the state-machine page for Step Functions. Developers can quickly analyze, debug, and optimize Standard Workflows by enabling the new execution page option.
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Infinite Representations: an Impossible Thing for Developers
Developers can face impossible things in their daily work. It’s impossible to directly represent infinity or to hold infinite precision on a discrete physical computer. Storage and representations are bounded. Ignoring or being unaware of this impossibility can lead to bugs or systems behaving differently than expected. Kevlin Henney gave the keynote Six Impossible Things at QCon London 2022.
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How GitHub Uses Machine Learning to Extend Vulnerability Code Scanning
Applying machine learning techniques to its rule-based security code scanning capabilities, GitHub hopes to be able to extend them to less common vulnerability patterns by automatically inferring new rules from the existing ones.