Bugged_But_Haapy

The Future of Software Engineering in the Age of AI Agents The Bugged but Happy The Future of Software Engineering in the Age of AI Agents We’re at a tipping point. From AI-assisted code completion to autonomous agents that can design, test and operate software, the software engineering landscape is changing faster than many teams can reorganize. This article explores what that future looks like — technically, operationally, and ethically — and gives practical guidance for engineering teams that want to thrive. 1. The trajectory so far: assistants → agents The last decade in software engineering has been dominated by tooling that increases developer productivity: integrated development environments, continuous integration, containerization. More recently, we added AI-powered assistants — code completion, linting, and test suggestion. These ass...

AI for Incident Management: From Alerts to Autonomous Recovery AI for Incident Management: From Alerts to Autonomous Recovery It’s 3:00 AM. Your phone buzzes. Another incident alert. You log in to find hundreds of red flags, most of which are duplicates or false alarms. This is the reality for many SREs and DevOps engineers — and where AI is rewriting the story. Modern IT operations are stretched thin. According to Gartner (2023) , the average enterprise IT environment generates over 1,500 incident alerts daily , of which more than 70% are duplicates or false positives [1] . Meanwhile, downtime costs keep rising: a Ponemon Institute study estimated the average cost of critical application downtime at $9,000 per minute [2] . These numbers explain why companies from Netflix to global banks are investing heavily in AIOps and AI-driven incident management . The Evolution of Incident Management Incid...