bcquality/microsoft/knowledge/ui/semantic-styles-need-independent-textual-meaning.md
Jesper Schulz-Wedde a9f3c50863 Regenerate microsoft/knowledge from upstream BCApps instructions
The previous LLM-generated knowledge files contained factual
hallucinations. The most visible was the claim that `FindFirst` /
`FindLast` "forces a full-table scan" on an unfiltered record - it does
not; those APIs return a single row via the current key.

Other inaccuracies the audit found and fixed:

* `FindSet(true)` was described as "taking a LockTable". The correct
  upstream phrasing is that `FindSet(true)` sets
  `ReadIsolation::UpdLock` on the read. UpdLock and LockTable are
  related but distinct mechanisms.
* The list of production-scale tables had been invented beyond the
  upstream source (e.g. "Detailed Cust. Ledg. Entry") without a
  citation. The regenerated list matches the ten tables upstream lists
  with their P95 row counts.
* `SetLoadFields` guidance had been augmented with an extra mechanism
  claim ("the database resolves the filter using the index without
  hydrating the value") not present in upstream.

Approach: full regeneration of `microsoft/knowledge/` from the six
upstream BCApps Code Review instruction files, with Microsoft Learn /
the AL language reference as a secondary source. Every claim in every
regenerated file is anchored to a verbatim upstream quote (or a Learn
URL); the audit trail lives in artifacts/trace-<domain>.json on the
session workspace.

The PR #11 transaction/error-handling cluster is preserved verbatim:

* performance/understand-implicit-transaction-boundary.md
* performance/codeunit-run-as-atomic-sub-operation.{md,good.al,bad.al}
* performance/codeunit-run-requires-prior-commit-inside-transaction.{md,good.al,bad.al}
* performance/use-tryfunction-for-error-catching-not-rollback.{md,good.al,bad.al}
* performance/avoid-commit-inside-loops.{md,good.al,bad.al}
* security/commitbehavior-attribute-scopes-explicit-commits.{md,good.al,bad.al}
* testing/transactionmodel-attribute-governs-test-transactions.{md,good.al,bad.al}

These articles already cite Microsoft Learn and were carefully
cross-referenced; the regeneration skips their topics rather than
duplicating them.

File counts after regeneration:

  performance   35 .md  (5 preserved + 30 new)
  privacy       17 .md
  security      18 .md  (1 preserved + 17 new)
  style         33 .md
  testing        1 .md  (preserved)
  ui            19 .md
  upgrade       18 .md

Total 141 atomic knowledge files, each strictly one rule. All pass
.github/scripts/validate_frontmatter.py with 0 errors and 0 warnings.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-21 09:53:09 +02:00

1.8 KiB

bc-version domain keywords technologies countries application-area
all
ui
style
favorable
unfavorable
ambiguous
color
accessibility
al
w1
all

Semantic styles need independent textual meaning

Description

Three Style values carry semantic meaning through color and must be backed by text that conveys the same meaning:

  • Favorable (Bold + Green) — implies a positive outcome.
  • Unfavorable (Bold + Italic + Red) — implies a negative outcome.
  • Ambiguous (Yellow) — implies an uncertain or mixed outcome.

For accessibility, assume the style is completely invisible to the user. The semantic meaning must be independently determinable from at least one of:

  1. The field caption matches the semantic meaning (e.g. caption "Error" with Style = Unfavorable, or "Profit" with Style = Favorable).
  2. The field value communicates the meaning (e.g. value "Success!" with Favorable, a negative number with Unfavorable).
  3. An adjacent field provides a textual representation of the semantic meaning (e.g. a "Status" column reads "High" / "Medium" / "Low" alongside a percentage field).

The rule applies equally whether Style is set to a literal value or to a variable that evaluates to a semantic style at runtime.

Best Practice

When you reach for Favorable, Unfavorable, or Ambiguous, verify that the caption, value, or an adjacent column already conveys the same meaning. See sample: semantic-styles-need-independent-textual-meaning.good.al.

Anti Pattern

Applying a semantic style for purely cosmetic emphasis (e.g. green company name for aesthetics), or using semantic colors where only the color reveals the threshold (e.g. confidence percentages with no qualitative label). See sample: semantic-styles-need-independent-textual-meaning.bad.al.