Your Finance Agent's Bottleneck Is You — Ramana Siddanth Emani, Auditoria AI
Jul 30, 2026 · 13:42
Ramana Siddanth Emani, data scientist at Auditoria AI, argues that the bottleneck in shipping production finance agents is the developer in the loop, not the model or GPUs. He presents harnessing coding agents across parallel git worktrees (50 with 48GB RAM) to automate bug fixes from QA and Jira tickets, with sub agents pulling traces, logs, running tests, and creating PRs, needing human input only at task assignment and final verification. In the finance sector, regulation demands human oversight, so agents handle the grind while developers focus on verification. Emani advocates for recursive self-improvement where agents analyze bottlenecks and upgrade loops; after a month, a developer can simply type 'fix this bug' and the agent handles everything, allowing developers to step out of the loop while remaining final verifiers.
