There’s been a lot of excitement around generative AI technology over the past few years, especially in software development. Developers of all levels are turning to AI tools, such as GitHub Copilot, Amazon CodeWhisperer, and OpenAI’s ChatGPT, to support their coding efforts. In fact, GitHub found that 92% of developers use AI coding tools. However, many businesses are realizing that they need to be more cautious when using AI in software development.

The server-side JavaScript runtime scene has been packed with innovations, such as Bun making strides with compatible Node.js APIs and the Node.js runtime featuring a rich standard library and runtime capabilities. As we enter into 2024, this article is a good opportunity to stay abreast of the latest features and functionalities offered by the Node.js runtime.

In the world of building backend Node.js APIs, Fastify stands out with its plugin ecosystem and architecture approach, offering a compelling option beyond the conventional Express framework. This highly efficient, low-overhead web framework distinguishes itself through its remarkable speed and streamlined simplicity.

Access control in backend Node.js applications is fundamental to web applications built with the Express web framework. It ensures users can access only the data and functionality they're authorized to use. However, when access control is compromised, users can access data that they shouldn't be able to. This is especially problematic if attackers attempt to manipulate or steal private data.

Development teams of all sizes are embracing the excitement and possibility of using AI tools to build software. Coding assistants like Google Gemini and Github Copilot have the potential to accelerate development like never before, and developers are adopting these tools — whether or not leadership has officially approved them. As your team considers the best ways to adopt this new technology, this transition might feel like déjà vu.

Flask is a powerful, lightweight, and versatile web framework for Python, that's designed to make it easy for developers to develop web applications quickly with minimal boilerplate code. It's a stand-alone microframework that doesn't need any additional libraries or tools and has no database abstraction layer.

Symmetric and asymmetric encryption are the two most common ways to protect sensitive data with cryptography. These methods use key(s) to transform an unencrypted message into an encrypted message (a ciphertext) that is extremely difficult to decrypt without the correct key(s). Symmetric encryption uses a single key to encrypt and decrypt data. In contrast, asymmetric encryption uses a pair of keys, a public and private key, to encrypt and decrypt sensitive data.

Something about the springtime sunshine and blooming flowers inspires many of us to start cleaning. For some, it might be tackling the backyard shed that accumulated cobwebs over the winter or that overflowing junk drawer in the corner of the kitchen. As you survey your home and yard and decide where to start cleaning, it’s also a great time to look at your application security program and see if any of your existing processes need some tidying up. Here are a few great places to start.

Creating a Python package involves several actions, such as figuring out an apt directory structure, creating package files, and configuring the package metadata before deploying it. There are a few other steps that you need to follow including creating a subdirectory for tests and clear documentation. Once the package is ready, you can distribute it to various distribution archives. With that, your Python package will be ready for others to install and use.

Application security teams often lack the crucial information and visibility needed to find, prioritize, and remediate risks in their most business-critical applications. To solve this application security challenge, ServiceNow and Snyk have partnered to provide a singular view of the risk within these applications — exposing the severity and criticality of vulnerabilities while providing actionable workflows to boost your overall security posture.

Snyk has been a pioneer in AI-powered cybersecurity since the launch of Snyk Code in 2021, with the DeepCode AI engine bringing unmatched accuracy and speed to identifying security issues in the SAST space for the first time. Over the last 3 years, we have seen the rise of AI and LLMs, which Snyk has been at the forefront of with the introduction of new AI-based capabilities, such as DeepCode AI Fix, our vulnerability autofixing feature, or our third-party dependency reachability feature.

Snyk AppRisk Pro ships with a range of innovative, ecosystem-driven capabilities alongside new analytics tools, providing comprehensive application risk management with Snyk.