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Agentic AI Coding Workflow — Multi-Agent with Stacked Diffs

AI · · 1 min read · x.com ↗

Agentic AI Coding Workflow — Multi-Agent Pattern

Author: Jacob Bartlett (@jacobtechtavern)
Source: X/Twitter
Date: 2026-05-13

Original Content

The developer workflow:

  1. Plan is in place with stacks and per-stack verification steps
  2. Codex codes for hours while developer works on other tasks (multiple separate repo checkouts)
  3. Result is a testable, mostly-there feature in stacked diffs
  4. Code review in chosen client with inline comments across the stack
  5. Tell the agent: "Go through the PR comments, one stacked diff at a time, addressing the issues flagged. Make changes on the appropriate point in the stack, and reply to each PR comment to confirm."

Key insight: The agent correctly oriented itself across a complex multi-hour stack of diffs and made changes at the appropriate points. Codex is cited as the only agent trusted for this.

Multi-agent breakthrough pattern: 1 Writer + N Readers on the same checkout

  • Reader #1: Fetches PR comments, gathers context, proposes fixes
  • Reader #2: Reviews code in each stack independently, outputs improvements/simplifications
  • Writer: Reads the markdown outputs and implements changes
  • Optional idle agent at top of PR stack for manual testing (logs, test data, output review)

Practical limits: 1 Writer + 2 Readers is the mental processing limit.

Full article: https://blog.jacobstechtavern.com/p/ios-at-an-ai-unicorn

Summary

Detailed agentic AI workflow that combines:

  • Stacked diffs for clean, reviewable PR structure
  • Multi-agent parallelization (1 Writer + 2-3 Readers)
  • Asynchronous work (developer does other tasks while agent codes)
  • PR comment-driven iteration (agent addresses review comments automatically)
  • Separate repo checkouts to avoid agent conflicts

Metrics

  • Views: 15
  • Full Article: https://blog.jacobstechtavern.com/p/ios-at-an-ai-unicorn

Relevance to FACorreia Projects

HIGH RELEVANCE — directly applicable to Norviq, Loci, and ObsidianBrain iOS development workflow. The multi-agent pattern (Writer + Readers) overlaps with the Hermes multi-Agent skill architecture (CTO, PM, Dev, QA, Ops). Key takeaways:

  • Stacked diffs enable granular code review
  • Multi-agent parallelization requires careful coordination to avoid conflicts
  • 1 Writer + 2 Readers is the practical limit for effective coordination
  • Codex is trusted for complex, multi-hour multi-file changes; other agents less reliable

This is an iOS developer working at scale with AI agents — the exact workflow pattern you should consider for your iOS projects.