AI Made Me Faster at Building—But It Also Gave Me More to Supervise
I did not set out to build Issue Flow as a product. I built it because I was frustrated... In September 2025, I was developing a large product while working a demanding full-time job. This is a product I was planning to build for a long tine, but never had the bandwidth. AI had opened up a new kind of possibility: I could make meaningful progress in the limited time I had outside work. With an…
AI assisted developer, Issue Flow creator, doubled his productivity with AI tools but encountered new challenges
In September 2025, Issue Flow creator sought to build a product due to frustration with work demands. While working full-time, he used AI to accelerate development, but ran into issues when his agents could not reliably orchestrate the entire development process. For years, the developer relied on various AI coding assistants like Copilot agents, Cursor, and Kiro, but none offered the comprehensive solution he needed.
The developer's main concern was a lack of human checkpoints during the development process. He wanted AI agents to focus on routine tasks and alert him when decisions were required. This led to the creation of Issue Flow. Initially, the developer used it to streamline his own workflow, but as the product evolved, so did Issue Flow. It expanded to address additional challenges such as intent alignment, business value, multi-repo coordination, and understanding user personas.
In May 2026, Issue Flow transitioned from a personal solution to a standalone product. The developer recognized that testers reported vague issues, making it difficult for developers to determine the root cause. Issue Flow addressed this by gathering evidence, determining the likely cause, and creating sub-issues. This automation allowed developers to focus on high-value tasks while ensuring quality checks were in place.
The developer's goal was not to replace human involvement in development but to make it intentional and strategic. He implemented cost management by selecting appropriate AI models based on issue complexity and recognizing quota limits. Issue Flow is designed to work with various AI providers and allows users to define their own quality gates and escalation paths. The developer himself uses Issue Flow to build other products, providing strong validation for the solution.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
