223 Pull Requests in 11 Days: Building BootUI with AI Agents

LinkJulien DuboisResource

Julien Dubois presents a playbook detailing how he shipped the BootUI open-source project to version 1.0.0 in just 11 calendar days. By steering a fleet of GitHub Copilot coding agents, he merged 223 pull requests instead of spending an estimated 6.5 to 8.5 months on manual development.

Key points

  1. BootUI is a Spring Boot 4 starter providing an embedded Vue 3 developer console with around 40 panels for metrics, security, and tracing.
  2. Dubois avoided manual coding in an IDE, acting instead as an architect and reviewer orchestrating GitHub Copilot agents.
  3. 223 pull requests were merged in 11 days (averaging ~20 PRs per day), producing approximately 83,000 lines of code across 5 Maven modules.
  4. Human hands-on effort was 80–110 hours, compared to an estimated 1,100–1,450 hours for an experienced developer working without AI.
  5. Detailed specifications (AGENTS.md, SPECIFICATION.md) and an automated test harness (~116 Java and Playwright suites) served as the primary verification layer.

Why it matters

The case study provides practical data on running autonomous coding agents at scale. It illustrates how engineering roles shift from typing syntax to architectural governance and automated verification.

Analysis

Dubois highlights that productivity gains stem from process design rather than raw generation speed. The workflow relies on clear instructions, granular specifications, and an automated CI pipeline that replaces line-by-line manual code reviews. Autonomous agents execute scaffolding and testing while human intervention focuses on triage and merging.

Mentioned links

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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