The holiday season is a time for generosity, gratitude, and coming together. As Chief People Officer at Keyhole Software, one of the things Iโm most proud of each year is how our team shows up for our local community. Giving back has been a part of our culture since the early days of Keyhole. Every holiday season, our team comes …
In this video, we introduce AI-assisted development and where it fits into modern engineering workflows. Below, we expand on what this looks like in real enterprise delivery environments. AI-Assisted Development: How Enterprise Teams Can Move Faster Without Lowering Standards AI-assisted development is changing how software teams work. Tools like GitHub Copilot and ChatGPT can generate boilerplate, draft tests, modernize legacy …
Cloud platforms now sit at the center of business planning. Many teams compare AWS for its wide service range, Azure for its ties to Microsoft, and Google Cloud for its strength in data and AI. Each option has its own role depending on how your systems are built. In the next sections, weโll show where these platforms differ and call …
In todayโs fast-moving software world, speed isnโt the only priorityโsecurity is just as critical. Companies that release quickly but ignore security often face costly breaches, downtime, and lost trust. This is where DevSecOps comes in. While DevOps focuses on connecting development and operations to deliver software faster, DevSecOps builds on this by embedding security into every step of the process. …
Artificial intelligence is no longer limited to large data centers and high-powered servers. Today, more organizations are deploying ML models to edge devices such as smartphones, tablets, and IoT hardware. These devices work in environments where connectivity is not guaranteed and computing resources are restricted. By running models directly on edge hardware, businesses reduce latency, enable offline functionality, and improve …