I’ve spent a lot of time lately experimenting with IBM Bob, and I’ve been documenting the hits (and the occasional misses) over at The Main Thread. If you’ve been skeptical about AI assistants being more than just glorified autocomplete, I get it. I was too.

But after putting Bob through the ringer on everything from complex Java migrations to Quarkus testing, I’ve realized it’s less about "writing code for me" and more about "clearing the path."

What I’ve been seeing lately:

• The Grunt Work: I’ve used Bob to handle the stuff I usually procrastinate on—like migrating legacy SQL to Postgres or spinning up Terraform scripts. It’s surprisingly good at keeping the architectural context I actually care about.

• Testing without the Headache: One of my favorite recent deep dives was using McpAssured with Bob to test Model Context Protocol flows. It’s a niche area, but seeing Bob handle stateful prompts makes me much more confident in my deployments.

• The "Context" Factor: The real win for me hasn't been the snippets; it's how Bob understands my whole repo. It feels less like I'm copy-pasting from a search engine and more like I'm pair-programming with someone who actually read the README.

I’ve been sharing the specific workflows and "gotchas" I’ve found at the-main-thread.com/t/ibm-bob. It’s been a fun ride figuring out where Bob truly shines in a real-world SDLC.

Give it a spin yourself:

If you want to see if it actually fits your workflow, you can grab it and start testing at ibm.com/bob. I’d love to hear if you’re finding the same shortcuts I am.