Pikira
Software Engineer · My Product
Mar 2026 - Present
Depok, Indonesia
I learned to pair fast AI-assisted shipping with product judgment, code review, and explicit usage controls.
Read the context
Pikira started from talking with teachers and seeing how much administrative work sat around lesson prep, classwork, and grading. The hard part was not just building AI features quickly; it was deciding which workflows deserved automation and where the product needed clear boundaries.
That shaped how I approached the engineering work: quota enforcement, permissions, realistic test data, and deeper review habits all became part of shipping responsibly.
- Built tenant-aware AI quota and billing enforcement using per-school Durable Objects, feature entitlements, and provider-side preflight checks.
- Added reservation and idempotency paths so over-budget or unentitled workloads fail explicitly before provider calls.
- Built seeded school scenarios, impersonation, and E2E fixtures so demos and QA could use realistic teacher and admin workflows.
