Christopher Condo

1 month ago | forrester.com | Christopher Condo

No one can deny the impact that AI is having on software development… and we are just getting started. GenAI has already made a tremendous splash and new AI agent technologies hold promise. These will take AI-enhanced development to a new level and deliver complete, autonomous capabilities for creating, testing, and delivering applications. There’s just too much innovation happening all at once to be casually monitoring this market – I need to be all in.

1 month ago | forrester.com | Christopher Condo

The world of DevOps is changing fast. The latest innovation? Internal developer portals (IDPs) such as Backstage, originated by Spotify. An IDP is a framework for building DevOps platforms that offer discoverable, self-service IT infrastructure and automation services, helping developers manage IT services efficiently. IDPs can help streamline workflows, reduce context switching, and enhance governance among developers.

2 months ago | forrester.com | Devin Dickerson |Christopher Condo |David Mooter

Google Cloud Next 2025’s (full takeaway blog here) developer keynote offered a detailed look at the company’s latest AI innovations, with a particular focus on agent technology and developer tools.

2 months ago | forrester.com | Dave Frankland |Emily Pfeiffer |Christopher Condo

One of the most common refrains I heard at B2B Summit last week was that “it’s good to know that others are in the same boat.” Indeed, our event theme of “Master Buying Mayhem” seemed to have really struck a chord as B2B professionals face an incredibly complex and volatile environment and a new buying reality in which buyers have access to more information than ever, rely on a broader network to shape their decisions, and leverage new technologies – particularly genAI and AI agents – in...

2 months ago | forrester.com | Christopher Condo |David Mooter

Feature management and experimentation is a broad set of capabilities that spans both software delivery and product management.  With feature management, engineering teams can engage in the practice of progressive delivery wherein features are deployed with flags turned off, tested in production, and then gradually turned on to a progressively larger audience of users until the new feature is completely released.