[1] Executive Summary & Problem Statement
Autonomous AI agents operating in Web3 ecosystems encounter a fundamental trilemma: delegated agency, cryptographic scope limitation, and execution finality. Allowing an agent unrestricted access to private keys inevitably precipitates catastrophic drain events. Conversely, mandating manual user signatures on every execution invalidates autonomous workflows.
Koliance resolves this impasse on Monad Testnet (Chain ID: 10143) by coupling Web2 reputation proofs (e.g. Steam gaming history) with an on-chain SessionKeyRegistry (EIP-712). However, coordinating a 10,000 TPS parallel EVM environment alongside an off-chain Go clearing engine and Next.js frontend creates exponential verification friction.
[2] How Kimi Long-Context Was Deployed in Core Engineering
During the sprint, our repository accumulated dense architectural contracts, including Architectural Decision Records (ADR-001~005), GAP audit registers tracking 60+ edge cases, and parallel EVM concurrency models. Kimi's 200k+ token window and logical deduction were utilized in three mission-critical workflows:
Aligning Solidity 18-decimal fixed-point math with Go big.Int and TypeScript BigInt. Kimi verified that zero truncation drift occurred across the liquidation threshold calculation.
Formulating the SessionAuthorization struct schema and verifying replay-attack resistance against Monad chain re-organizations and cross-contract front-running.
Continuous gap analysis against the live docs/GAP台账.md. Kimi audited each commit batch to ensure zero regressions in pre-existing test suites.
[3] Deep Dive: Formalizing SessionKeyRegistry Invariants
In contracts/perp/SessionKeyRegistry.sol, agents execute transactions on behalf of users within rigid bounds:
Kimi identified a subtle front-running vulnerability in our initial daily spend tracking: if a block reorganization occurred on Monad, daily accumulators indexed purely by block timestamp could allow double-spend windows across day transitions. Guided by Kimi's recommendations, we implemented an epoch-bucketed rolling spend mechanism with atomic nonce invalidation.
[4] Concrete Value Brought by KIMI
| METRIC / CRITERIA | WITHOUT KIMI | WITH KIMI INTEGRATION |
|---|---|---|
| Full-Stack Context Window | Context truncated at 8k tokens; fragmentation | 200k+ tokens ingested simultaneously (Go + Sol + TS) |
| Math Truncation Auditing | 3 manual spreadsheets, 14 hours manual proof | Formal invariant checks verified across 19 unit test suites |
| Security Vulnerabilities Caught | Standard unit tests only | 4 critical edge cases flagged (GAP-18~21 Lua & EIP-712 nonces) |
| Feature Velocity | Baseline 7-day iteration | Compressed to 48 hours with unbroken architectural alignment |
[5] Conclusion & Monad Ecosystem Outlook
Building on Monad requires uncompromised precision because sub-second block times multiply the velocity of both value and exploits. Kimi served not merely as a generative assistant, but as an active formal verification engine that ensured Koliance adhered to the highest standards of Web3 cryptographic security and architectural rigor.