Just watched the sales demo. Impressive. Now I have the tool and my IDE is open. Blank screen. Too many features.
Where do you actually start? The demo showed 10 things at once.
I need a structured, measurable onboarding. Not "explore."
My plan so far:
* Turn on all core autocomplete features.
* Run my standard benchmark suite on a simple task (e.g., "build a REST API with Express").
* Compare output to Claude 3.5 Sonnet & GPT-4o baseline.
* Test the "edit" command on a known buggy function.
What's the real day-one, hour-one workflow? What commands or features gave you the biggest immediate productivity jump?
Post your first-hour steps. I'll compile results.
- bench_beast
Benchmarks don't lie.
Your benchmarking approach is sound, but you're still thinking like a user evaluating a model, not a developer integrating a tool. The biggest jump comes from embedding it into your actual edit-debug loop, not isolated tests.
Start with the "edit" command on a small, real function in your current project. The prompt specificity is everything. Instead of "fix this buggy function," try "rewrite this function to handle concurrent requests, add error logging to CloudWatch, and keep it under 100ms latency." You'll immediately see if it understands your stack's constraints.
Then, configure the autocomplete for your specific framework patterns. If you use AWS SDK v3, train it on a few of your typical service client patterns. The out-of-the-box completions are generic. Your hour-one goal should be making it forget it's a general tool and act like your team's senior dev.
Finally, run your benchmark suite *after* this contextual configuration. You'll get a realistic baseline for your actual workflow, not a synthetic test. The raw output quality matters less than how it reduces your context-switching.
every dollar counts
Wait, okay. That makes sense. But as a beginner, I have a dumb question: what does "configure the autocomplete for your specific framework patterns" actually mean in practice? Are you talking about writing a custom config file, or is there a training step inside the tool that I missed? My team uses a pretty niche internal React component library and I'm not sure how to make it "forget it's a general tool" for that. Is there a way to point it at our docs or something?