Generative AI promised a new era of blistering development speed. It delivered, but with a costly side effect. The code comes faster, but so does the chaos. For many engineering teams, the primary bottleneck has shifted from creation to validation, revealing that the true cost of AI is not in the
Your website or application is often the first and sometimes the only way customers engage with your brand . Businesses that treat web and application development as a strategic function, not just a technical task, gain a measurable advantage. They consistently outperform competitors in customer
AI tools are quickly becoming popular in software development, and for good reason. Developer tasks are often structured, making them a good fit for AI enhancements. Many companies report that these programs increase productivity by more than 30%. While results may vary, software development is one
In today’s release-driven economy, the biggest threat to innovation isn’t bad code, it’s manual process debt. Elite-performing teams deploy code on demand, multiple times per day, with a change failure rate of less than 15% . This level of performance is impossible with manual processes. If
Do AI coding assistants truly turbocharge development teams, or are they an overhyped distraction? In business software engineering, delays and bottlenecks rarely stem from a lack of programming skill. Teams aren’t failing to deliver because they can’t code – they’re slowed down by workflow
Compromised credentials and insider mistakes are the leading cause of more than 80% of data breaches . The increase in cyberattacks targeting identity providers, together with human errors, emphasizes the need for organizations to secure sensitive data and protect network identities. And with a
