Reflog AI learns from your senior developers' code reviews to recreate their expertise. Multiply your team's review capacity with AI personas that match each senior's style, preferences, and standards.
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@reflog-ai ask Marcus to review this optimizationNice work on the caching layer! One thing though - I notice you're caching the entire user object. Back in PR #1653, I mentioned we should only cache what we need to reduce memory footprint. Try caching just the user ID and role.
Also, your cache key doesn't include the tenant ID. This could leak data across organizations. Remember the security audit from Q3? Always scope cache keys to prevent cross-tenant contamination.
Suggested: cache.set(`tenant:${tenantId}:user:${userId}`, ...)
Your senior developers are the gatekeepers of code quality, but there's only so many of them
Senior developers spend hours reviewing code. Their expertise is invaluable, but their time is finite. PRs pile up, slowing down the entire team.
Each senior has unique preferences and expertise. When they're unavailable, their specific insights and coding standards are lost.
Junior developers often repeat the same mistakes, while seniors waste time flagging them instead of focusing on deeper, more valuable mentorship.
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Simply comment @reflog-ai ask Sarah to review and get feedback as if Sarah herself reviewed your code.
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Comment @reflog-ai ask Sarah to review on any PR to get a review from Sarah's AI persona.
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Reflog creates AI personas from your senior developers' code reviews
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