Software engineering ran on pure adrenaline over the last decade. Everyone rushed to split up monoliths, automate builds, and run endless agile cycles. Then AI tools showed up with a simple promise—multiply your code output by ten. Fast-forward to today:…
Artificial intelligence has changed software development faster than almost any technology shift in the past decade. What started with AI code completion has evolved into AI-powered code generation, automated testing, documentation, and debugging. Developers today can generate boilerplate code in…
Honestly, software teams are drowning right now. Deadlines are getting tighter, teams are shrinking, and everyone expects more features yesterday. Sure, AI tools help devs write code faster, but that just creates a massive bottleneck: who the hell is supposed…
The software engineering landscape is experiencing a profound structural dislocation. For decades, technology leaders leaned on quantifiable metrics to measure the output of engineering teams. They relied heavily on lines of code generated, pull request counts, or basic sprint velocity.…
By Vikas BasraIn the race to deliver software faster and more reliably, enterprises are seeking tools that go beyond automation to truly amplify engineering impact. ATONIS™, the AI-powered engineering workbench from Ness, delivers exactly that: measurable outcomes grounded in real…
By Vikas BasraSoftware delivery has become a constant balancing act. Engineering organizations are expected to release faster, maintain quality, scale across distributed teams, and provide leadership with real-time visibility. Yet delivery decisions are still driven by fragmented tools and delayed…
ATONIS: The Future of Intelligent Engineering.
The Real Numbers Behind GenAI: What 100+ Engineers Taught Us About Productivity.
Unlocking Engineering Productivity: Why GenAI Alone Isn’t the Answer.