One of the most exciting ways to explore AI-assisted development is by using it in real projects and hackathons. Tight deadlines, limited resources, and ambitious ideas create the perfect environment to see how much value an AI development partner can actually provide.
I've found that IBM Bob is most useful when building beyond simple proof-of-concepts. Whether you're creating a new application, modernizing an existing project, or racing against the clock during a hackathon, Bob can help accelerate multiple parts of the workflow.
From understanding unfamiliar codebases and generating implementation ideas to creating tests, validating changes, and improving application quality, it helps developers spend less time on repetitive tasks and more time on problem-solving.
What I like most is that the focus isn't just on generating code. Building successful projects requires understanding requirements, iterating quickly, testing effectively, and keeping momentum throughout development. That's where agentic workflows become especially valuable.
For hackathons, every hour matters. For long-term projects, every improvement compounds.
The goal isn't simply to build faster. It's to move from idea to working solution with greater confidence and less friction.
Have you tried using IBM Bob in a project, side project, or hackathon? What was your experience?
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