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
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AI-Assisted Development
Practical guidance on coding agents, AI-assisted engineering workflows, code quality, and keeping human judgment at the center of software delivery.
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
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
Creating a Cursor rule to keep Python workflows on uv
I already had reusable `uv`-first instructions for Claude Code and Codex. I have now added the Cursor path too: generate a rule from the same source guidance so Cursor stays on the same Python workflow.
Shaping with AI
Setting up a uv-first Python workflow for Claude Code and Codex
I kept noticing coding agents drifting into `pip install`, raw `python`, and hand-edited dependency files in Python projects. So I built a small repo with reusable `CLAUDE.md` and `AGENTS.md` guidelines that push both Claude and Codex toward a consistent `uv` workflow.
Shaping with AI