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Prompt architecture: single-owner rule for instruction content across the ~45k-word prompt surface #1252

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Description

@waleedkadous

Problem

The shipped prompt surface (CLAUDE.md/AGENTS.md, hot-tier governance docs, protocol definitions, porch phase prompts, role docs, skills) measures roughly 45,000 words, and a duplication probe (2026-07-25) found the same rules repeated across 4–6 surfaces each. Consequences:

  • Drift: an edit lands in one copy while the others go stale. Only the CLAUDE.md ↔ AGENTS.md pair is actively policed; the other duplicates are not.
  • Token cost: duplicated rules ride into every phase prompt, every spawn prompt, every session.
  • Ambiguity: a builder can encounter two differently-worded variants of the same rule and not know which is authoritative.

Read-out context: codev is strong on progressive disclosure (hot/cold governance tiers, on-demand skills) but weak on cross-layer duplication.

Proposed direction (to refine in spec)

  1. Single-owner rule: every instruction has exactly one owning surface; all other surfaces reference or summarize it, never restate it. The spec should produce an inventory of the prompt surfaces and an ownership map before any restructuring.
  2. Multi-model fleet tiering: tier prompt content by the consuming model's capability — smaller/cheaper models get fuller scaffolding, stronger models get the compressed form.
  3. Scar rules exempt: hard-won prohibition rules (data-loss scars, gate rules) stay verbatim and always-on wherever they apply — deduplication never applies to them.

Protocol

SPIR — this needs a spec phase (surface inventory + ownership map + measurement of the win) before restructuring anything.

Activity

  1. waleedkadous commented on Jul 27, 2026

    @waleedkadous
    ContributorAuthor

    Architect guidance for the spec phase (from Waleed, 2026-07-27)

    Basis: this work is grounded in Anthropic's post The new rules of context engineering for Claude-5-generation models. Read it before writing the spec — the single-owner rule and fleet tiering in this issue's body are applications of its guidance.

    Scope reminder — the full prompt surface, not just CLAUDE.md. The trims must cover:

    • CLAUDE.md / AGENTS.md (and the hot-tier governance injections)
    • the architect role docs
    • the builder prompt surfaces (spawn prompts, porch phase prompts, protocol docs delivered to builders)
    • the consult prompts (what each CMAP lane model receives)
      Both trees where applicable (codev/ and codev-skeleton/).

    The hard problem is measurement. A particular challenge: how do we know a trim helped (or at least didn't hurt)? The spec must propose a measurement approach for the impact of prompt changes, not just an inventory and a restructuring plan. Think about what is observable per-surface (e.g. instruction-compliance incidents, gate-rejection rates, CMAP round counts, tokens per phase, duplication counts) and what a before/after comparison would look like. A trim proposal without a way to evaluate it is not accepted.

    Field input from a production Fable-5-generation deployment (an external adopter running long multi-lane programs; details scrubbed, signal preserved) — treat these as evidence for the spec, not requirements:

    • Fable-class models are uncalibrated for cost by default, not less capable: they maximize verification depth and delegation breadth unless given an explicit budget — and they honor stated constraints precisely; they just never invent them. Unbudgeted prompts produced unbounded process (audits-of-audits, compounding review layers); a budget stated in the prompt was honored immediately.
    • Two externally-imposed rules that worked on first contact and are candidates for default role-prompt content: 'ceremony is priced per artifact' (full audit apparatus only where the artifact warrants it; otherwise one time-boxed review pass) and 'escalate, don't widen' (disclose out-of-brief findings with receipts; fixing them unasked is the failure mode even when the fix is right).
    • Prompt templates should carry budget fields (scope boundary, review-pass count, time-box) — this maps to the fleet-tiering axis: stronger models need budgets more, not less.
    • Strong models mint dense internal vocabularies (finding codes, round letters) that make reports opaque — an explicit legibility contract in role prompts is a candidate rule.
    • (Their infra recommendations — verification primitives, status truthfulness, liveness detection — are Tower/porch feature work, out of this issue's scope.)
  2. waleedkadous commented on Jul 28, 2026

    @waleedkadous
    ContributorAuthor

    Outcome: harvested, not fully merged

    What shipped (PR #1281, the minimal harvest — merged as aa534081):

    • The 17-file drift reconciliation — the one live bug this project surfaced. The codev/ shadow copies (which outrank the installed skeleton in the four-tier resolver) had drifted from codev-skeleton/ in 17 files, so the served SPIR/ASPIR builder prompts were missing their entire Multi-PR Mechanics and Verify Phase sections. All 17 are now byte-identical to the skeleton, with architect rulings E1 (max_iterations: 3) and E2 (check cwds moved to .codev/config.json porch.checks) applied.
    • The knowledge artifacts: the 77-row shadow-tree audit with per-file rulings, the word-count baseline + after-measurement (N1: 21,856 → 20,324 served always-on words, −7.0%), the behavioral baseline (B1: 51.88% REQUEST_CHANGES, n=160, self-excluded), the measurement tooling (scripts/measure-prompt-surface.sh + prompt-behavior-metrics lib/CLI/test), and the full project review at codev/reviews/1252-prompt-architecture-single-own.md.

    What did NOT ship, and why: the structural enforcement machinery — shadow-tree deletion with equivalence proofs, the scar-rule registry with line-exact CI enforcement, the ownership map with completeness contract, dedup via shared partials — was built, fully reviewed (PR #1278, closed unmerged, preserved on builder/spir-1252), and then deliberately declined at the pr gate on risk/reward: a successor project will first shrink the prompt surface radically (judgment-style rewrite, >50% reduction target, frontier-models-only), and enforcement should be rebuilt fit-for-purpose around the post-shrink surface rather than carried across it.

    Pointers:

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