Parallel agents hit a human limit faster than a system limit
Running multiple coding agents in parallel feels like a speed win until the bottleneck becomes the person trying to supervise all of them.
Shaping with AI
Section
35 pages
Posts
How to set up a Claude Code agent team workflow: from parallel tasks to peer review
A practical walkthrough of setting up Claude Code agent teams with clear roles, task ownership, communication rules, review steps, and lightweight output contracts.
Shaping with AI
Orchestrating parallel subagents for data collection, exploration, and reporting
A hands-on case study of using Codex subagents to coordinate data collection, preparation, and Slidev report generation in parallel.
Shaping with AI
Creating agent-backed skills in Codex: a uv-first Python repo health check
I wanted Python repository health checks without flooding the main Codex thread with raw `uv`, `ruff`, `pytest`, and `ty` output. So I built a subagent-backed skill that inspects the repo, runs the usual commands, and returns a compact report with clear pass, warn, and fail signals.
Shaping with AI
Effectiveness anti-patterns — part 3: knowledge silos feel efficient until they don't
A reflection on knowledge silos in engineering teams: why they often start as responsibility rather than ego, and what helps spread context before one person becomes the queue.
Productivity