Building a Process Layer on Top of Claude Code to Handle Context and Coordination

After a year of using AI coding tools like Claude Code across multiple teams, a Reddit user reports that individual productivity increased but gains didn't compound across teams. The culprit: unchanged engineering processes — sprint planning, standups, PR reviews — causing context loss at handoff points. They describe a "copy of a copy effect" leading to quiet drift and maintenance issues.

Their solution: a process layer that declares what each engineering step reads and produces. Key steps:

• Architecture review consumes the spec, produces an ADR (Architecture Decision Record) and module guidance.
• Dev task receives that ADR plus the pitfalls file for the modules it touches.
• Reviewer gets the spec, the ADR, and the diff.

Each AI coding session is dispatched with exactly the right context loaded. This allows the project's context to grow over time, and the right pieces are made available to the right tasks without requiring engineers to work harder to manage context manually. The team now relies on this process layer for better quality code rather than individual engineer discipline.

They still use Claude Code directly for simpler tasks, since the overhead of the process layer isn't justified for smaller spikes.

The user frames this as a process/coordination problem rather than a tools problem, and asks if others are thinking along similar lines.