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>
2.1 KiB
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Pick the right IsolatedStorage DataScope for the secret's lifetime
Description
IsolatedStorage read and write methods take a DataScope parameter that decides which slice of storage the value belongs to. The choice is not a stylistic one — it changes which callers, in which company and under which user, can read the value back. Two scopes cover the common cases for app-level secrets: DataScope::Module stores the value once for the whole extension, isolated to that extension on the tenant — the right scope for app-specific secrets such as a global API key or service account. DataScope::Company stores the value per company, so each company on the tenant has its own slot — the right scope for company-specific secrets such as a per-company webhook URL or a per-company integration token. A per-user scope also exists for values that belong to an individual user.
Best Practice
Choose Module when the secret is the same for every company and every user under the extension (a single tenant-wide API key). Choose Company when each company has its own integration credentials. Choose the user scope only when the secret is genuinely per-user. Use the same DataScope value on Set/SetEncrypted, Get, Contains, and Delete for the same key — mixing scopes for the same logical secret produces silent "not found" results. See sample: isolatedstorage-datascope-module-vs-company.good.al.
Anti Pattern
Defaulting every call to DataScope::Module regardless of intent — storing a per-company webhook URL under Module means every company on the tenant shares the same URL. Or the inverse: storing a tenant-wide API key under Company means each company-switch effectively loses the key. Reviewers should look for cross-method inconsistency (Set under Module, Get under Company) and for scope choices that contradict the value's documented lifetime. See sample: isolatedstorage-datascope-module-vs-company.bad.al.