Notes
Brief writings on craft, AI workflows, and the occasional rabbit hole.
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Built an AI-based product docs
infrastructure at 5X
Reduced maintenance engineering efforts
Cut documentation update lag from months to days
Instant product knowledge discovery for customers
Shipped first production GitHub pull request (Personal win)
As the tech stack evolved, documentation became fragmented, outdated, and heavily dependent on senior engineers for updates. It repeatedly slipped due to competing priorities and constant platform changes. I stepped in, deeply audited the entire data platform and its implementations, restructured the documentation architecture, and rebuilt it for clarity.
On top of that foundation, I engineered an AI-powered search layer using Claude Code + Mintlify to make product knowledge instantly accessible to customers. To prevent decay, I built an automated pipeline that updates documentation directly from Linear release tickets, transforming static docs into a living system. Following implementation, I collaborated with Senior QA to harden edge cases and ensure documentation integrity.
Snapshots from #all-hands Slack channel.
Coming soon
Standardize design systems & production code at scale using Claude Code
Designing AI with AI: Lessons from crafting conversational AI prototypes
AI experimental initiatives at 5X to replace legacy workflows
