refactor(onboarding): update sandbox environment setup for AI-focused hackathon#579
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omkar273 merged 1 commit intoflexprice:developfrom Sep 26, 2025
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… hackathon features, including new pricing plans and meters
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1. internal/service/onboarding.go:525
- Draft comment:
Potential nil pointer dereference: if no meter with name 'LLM Usage' is found, llmUsageMeter remains nil. Consider adding a nil check before using llmUsageMeter.ID. - Reason this comment was not posted:
Decided after close inspection that this draft comment was likely wrong and/or not actionable: usefulness confidence = 0% vs. threshold = 50% Looking at the full context: 1. llmUsageMeter comes from meters which is returned by createDefaultMeters() 2. createDefaultMeters() only returns []*meter.Meter{llmUsageResp} where llmUsageResp is a meter named "LLM Usage" 3. So when this code runs, meters will always contain exactly one meter named "LLM Usage" 4. Therefore llmUsageMeter cannot be nil in practice I could be wrong about the guarantees - what if createDefaultMeters() fails in a way that returns a valid meter with a different name? What if the meter name comparison is case sensitive and there's a mismatch? Looking at createDefaultMeters() again, it explicitly creates a meter with name "LLM Usage" and returns only that meter. If there was an error, it returns (nil, err). The code path is very straightforward. While nil checks are generally good practice, in this case the code structure guarantees that llmUsageMeter cannot be nil. The comment is overly cautious and can be deleted.
2. internal/service/onboarding.go:686
- Draft comment:
Inconsistent log message: still references 'Cursor pricing model' instead of the updated hackathon AI pricing model. Please update for consistency. - Reason this comment was not posted:
Comment was not on a location in the diff, so it can't be submitted as a review comment.
3. internal/service/onboarding.go:713
- Draft comment:
Inconsistent log message: 'creating default subscriptions for Cursor pricing model' should be updated to reflect the generic AI pricing model for hackathon. - Reason this comment was not posted:
Comment was not on a location in the diff, so it can't be submitted as a review comment.
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Sep 29, 2025
refactor(onboarding): update sandbox environment setup for AI-focused hackathon
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Refactors
SetupSandboxEnvironmentinonboarding.goto use AI-focused features, meters, and plans for a hackathon, replacing the Cursor pricing model.SetupSandboxEnvironmentinonboarding.goupdated to use generic AI-focused features for hackathon.gpt-4,gpt-3.5-turbo, etc.Starter,Basic,Prowith updated descriptions and prices.Starteris free,Basicis $10/month,Prois $50/month.This description was created by
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