Model your access patterns, get optimal key structures instantly. No DynamoDB expertise required. Re-run when requirements change.
DynamoDB key choices are hard to reverse. Model your access patterns first, understand the tradeoffs, then commit to a design you can trust.
DynamoDB modeling expertise is rare and expensive. The tool encodes that knowledge so your team can make expert-level decisions without hiring one.
Suboptimal keys mean wasted throughput and unnecessary GSIs. Optimized indexing reduces read/write costs and storage overhead.
We benchmarked our proof-gated code generation system on three ERC-20 token operations. The AI closed all 5 proof obligations with zero human proof writing. Along the way, the system caught specification bugs that would have shipped silently in conventional development.
AI can generate software at unprecedented speed, but reliability remains the central challenge. This post outlines a constrained generation framework in which every AI-produced program must include a machine-checkable proof of correctness. Using Lean 4 as an independent verification layer, the system ensures that only formally validated code is accepted.
Formal logic is a powerful tool typically reserved for university-level study. This post explores how we can lower the barrier to learning logic by treating it as ordinary algebra—using puzzles as a primer.
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