DocSpring founder uses AI agents to manage 49 development sessions
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DocSpring founder nathan_f77 says he uses AI agents to handle most of the company's SaaS development and operations work: with Herdr, he manages 49 Claude Code sessions simultaneously, each responsible for one task or product area, of which 26 are active, handling bulk bug fixes, Sentry error triage, performance optimization, and CI pipelines respectively. He himself is mainly responsible for prioritizing and approving; agents must have their proposals reviewed by him before acting. nathan_f77 says he usually accepts about 90% of the agents' default suggestions, but retains veto power over the remaining 10% to prevent the agents from falling into feedback loops or drifting off course. Product changes still need to pass automated checks, code review, and QA in the pre-release environment before going live.
AI overview based on source reports · Updated 2 days ago
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- Hacker News AIWhat it takes to operate a SaaS when AI agents write all the code
A solo founder describes running DocSpring, a document automation SaaS, with AI agents handling much of the coding, bug fixing, Sentry error triage, performance work and CI, coordinated across 49 Claude Code sessions. He reports shipping long-deferred features such as Word templates, a Page Designer and API v2, and clearing his inbox and error queues, while noting that agents can drift into unwanted behavior changes, as when a date fix expanded into an unplanned date-parser project. He concludes that he still sets priorities, approves changes and decides what to promise customers, and that AI does not by itself protect the business from competitors using the same tools.
Activity for this story
- Current comparable activity
- 3
- Peak comparable activity
- 10Nov 12 13:00
- Change in the past 24 hours
- -50%
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