Finding
Iterative “small changes” become operationally expensive when edits are applied one at a time without batching, scope control, and verification after each coherent change set.
Current
A real Hermes installation can move quickly through UI copy, dashboard text, prompts, skills, docs, and configuration-adjacent files. The weak point appears when each tiny improvement triggers another tiny improvement, causing a session to touch many files without a clear stop condition. That increases review burden, makes regressions harder to isolate, and turns a harmless wording task into uncontrolled scope creep.
Suggested
- Batch small edits into named change sets. Exact change: add a “small-change batching” rule to the task runbook or
SOUL.md: “For UI, copy, prompt, skill, or docs edits, group related edits into one named batch, state the intended outcome, and avoid unrelated opportunistic changes.” - Add a stop condition before the first edit. Exact change: patch the relevant vibe-coding or dashboard-edit skill with: “Before editing, define the maximum scope: target files, allowed content areas, verification command or review check, and what counts as done.”
- Verify after each batch, not after every sentence. Exact change: add a verification habit to the completion checklist: “After each edit batch, review the diff, run the smallest relevant test or preview check, confirm no unrelated files changed, then either stop or open a new explicit batch.”
Impact
This preserves the speed of vibe coding while making the work auditable. Hermes can still improve copy and UI quickly, but each batch has a purpose, a boundary, and a verification point. It reduces token waste, prevents accidental broad rewrites, and makes it easier to roll back or explain what changed.
Effort
Small — the improvement is mostly a runbook and habit change: define scope, batch related edits, inspect the diff, and verify before continuing.
Public page note
Safe public content includes the maturity principle, generic batching rules, scope-control habits, and verification patterns for iterative UI or text work. Internal-only content includes private diffs, raw session transcripts, unpublished copy, customer-specific text, local filesystem paths, credentials, logs, and any sensitive dashboard or configuration details.