Our SaaS stack spans a browser-based platform, a Flutter mobile app, a Python-driven AI automation engine, and a Web3 login / token-transfer flow that relies on WalletConnect. After a round of dependency upgrades, each layer started misbehaving and I now need a single point of truth to hunt the regressions down and ship clean, tested fixes. Current pain points • Web: sessions drop unexpectedly and several endpoints now answer with 500s. • Mobile (Flutter): some screens overflow on tall devices and the built-in QR scanner no longer returns data. • AI pipeline: jobs queue but process slowly and, when they do run, produce mismatched outputs. • Web3 module: WalletConnect refuses to establish a session and the contract call that should return balances sends back empty data. What I need you to do 1. Reproduce each issue locally or on our staging environment and isolate the root cause (dependency mismatch, race condition, API schema drift, etc.). 2. Patch the codebase for every component, writing unit or integration tests where coverage is missing. 3. Confirm that: – Web sessions persist for the configured TTL and all REST calls return expected payloads. – Mobile layouts render correctly on popular Android & iOS break-points and the QR scanner parses data with <1 s latency. – AI jobs complete within the historical runtime window and outputs match our sample corpus. – WalletConnect completes the handshake and the contract method returns accurate on-chain data. 4. Push merge-ready PRs and a short changelog so my team can review and deploy with confidence. You will have access to the mono-repo (GitHub), CI/CD logs, staging servers and a test wallet. I am available on Slack for quick clarifications and can run additional diagnostics if you need deeper visibility. If you are comfortable tracing bugs through Flutter, Python, TypeScript/JavaScript and Solidity-adjacent flows, this should be a focused but rewarding sprint. Once the fixes pass staging, I’ll green-light production and release the final milestone.