Companies rushed into AI adoption without building the data foundations necessary to make it work reliably. Now they’re discovering that even the most sophisticated algorithms can’t overcome fundamentally flawed information, and the consequences extend far beyond poor performance metrics. The problem is strategic. Companies are building AI applications on data foundations that were never designed … continue reading
Google’s new Opal tool allows users to create mini AI apps with no coding required Google has launched a new experimental AI tool designed for users who want to build apps entirely using AI prompts, with no coding needed at all. Opal allows users to create mini AI apps by chaining together AI prompts, models, and … continue reading
Like many large enterprises, we must navigate the beauty and chaos of legacy code. In our case, decades of SQL procedures and business logic that underpin a platform capable of handling over 3 million concurrent users and hundreds of micro code deployments per week. It’s a complex machine. Touch one part, and you risk breaking … continue reading
While AI is becoming better at generating that functional code, it is also enabling attackers to identify and exploit vulnerabilities in that code more quickly and effectively. This is making it easier for less-skilled programmers to attack the code, increasing the speed and sophistication of those attacks — creating a situation in which code vulnerabilities … continue reading
More and more developers are adopting AI, but the trust they have in its outputs is getting worse and worse over the years. This is according to Stack Overflow’s 2025 Developer Survey, which gathered responses from 49,000 developers across 177 countries. This year, 84% of respondents say they are using or plan to use AI … continue reading
Google has launched a new experimental AI tool designed for users who want to build apps entirely using AI prompts, with no coding needed at all. Opal allows users to create mini AI apps by chaining together AI prompts, models, and tools, using natural language and visual editing. “Opal is a great tool to accelerate … continue reading
Gemini 2.5 Flash-Lite is now generally available The model is Google’s fastest and cheapest model, costing $0.10/1M tokens for input and $0.40/1M tokens for output (compared to $1.25/1M tokens for input and $10/1M tokens for output in Gemini 2.5 Pro). “We built 2.5 Flash-Lite to push the frontier of intelligence per dollar, with native reasoning … continue reading
Google is adding several new features to its cloud-based AI workspace Firebase Studio, following its update a few weeks ago when it added new Agent modes, support for MCP, and integration with the Gemini CLI. Now it is announcing updated workspace templates for Flutter, Angular, React, Next.js, and general Web that use the Agent mode … continue reading
Tenable is updating its Vulnerability Priority Rating (VPR) method of scoring vulnerabilities to enable organizations to focus their efforts on the most critical and impactful vulnerabilities. According to the company, Common Vulnerability Scoring System (CVSS), which is used by the CVE database, flags 60% of vulnerabilities as high or critical. When Tenable VPR was launched … continue reading
As artificial intelligence becomes an integral part of software development, a fundamental question arises: does AI erode essential engineering skills, or does it pave the way for new capabilities? This tension is especially pronounced with the growing presence of code assistants and agentic AI: these tools increasingly handle routine coding tasks, raising concerns that traditional … continue reading
Google is hoping to improve public trust in open source projects with the launch of a new open source project called OSS Rebuild that reproduces upstream artifacts and compares the new package with the original artifact. According to Google, this process enables customers to verify a package’s origin, understand and repeat its build process, and … continue reading
The role of software developer has historically morphed to keep up with advancements in technology. From basic writing and testing code, to use of open source code, to Agile and DevOps tools and methodologies, to security and cloud, and now to AI and vibe coding, developers have been asked to take on more tasks that … continue reading
