chore(repo): replace AIDA MCP with tracked AGENTS.md and CLAUDE.md - #1785
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📝 WalkthroughWalkthroughThe change removes obsolete AIDA configuration, adds repository and package guidance, introduces assistant workflow skills, updates staging-test instructions, configures commit hooks, and adds stricter Jira and risk trailer validation. ChangesRepository guidance and validation
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🟡 Moderate · up to Commit metadata enforcement and staging credential guidance should be corrected before merge. The test-environment and long-command instructions also need small fixes to avoid stale cassette behavior and blocked workflows. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 33.33% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 3 functions across 1 files. (29 skipped: 29 unsupported.) ✨ Finishing Touches 💡 1📝 Generate docstrings 💡
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In @.claude/skills/api-client-regen/SKILL.md:
- Around line 18-20: Update the command guidance for make api-client, make
api-client STAGING=1, and make api-client-local to apply the repository’s
tee/tail logging workflow to every long-running step, require reading the
captured log on failure, and stop docker compose logs -f after “Layout upload
completed successfully!” so subsequent steps continue.
In `@CONTRIBUTING.md`:
- Line 341: Update the staging test command documentation in CONTRIBUTING.md to
avoid passing STAGING_ADMIN_TOKEN and STAGING_DS_PASSWORD as Make arguments.
Document loading them from a .env file or pre-exporting the environment
variables, or use a non-echoing prompt instead.
In `@packages/tests-support/AGENTS.md`:
- Line 64: Update the cleanup instructions to remove the tox environments for
all consumers of tests-support, including the pandas and FDW suites, rather than
only packages/gooddata-sdk/.tox. Ensure the documented cleanup recreates every
affected environment so each suite uses the current tests_support wheel.
In `@scripts/conventional_commit_gitlint_rule.py`:
- Line 147: Update the trailer validation branch around jira_lines so an absent
jira: trailer is rejected rather than skipped. Require the no-ticket case to use
jira: trivial, while preserving existing Jira validation for present non-trivial
values and the required risk: checks.
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📒 Files selected for processing (53)
.aida/.gitignore.aida/change_domains.yaml.aida/git_policy.yaml.aida/preferences.yaml.aida/rules/packages/gooddata-dbt.mdc.aida/rules/packages/gooddata-fdw.mdc.aida/rules/packages/gooddata-flexconnect.mdc.aida/rules/packages/gooddata-flight-server.mdc.aida/rules/packages/gooddata-pandas.mdc.aida/rules/packages/gooddata-pipelines.mdc.aida/rules/packages/gooddata-sdk.mdc.aida/rules/packages/tests-support.mdc.aida/rules_selection.yaml.aida/templates/commit-message.txt.aida/templates/pr-body.md.aida/templates/pr-title.txt.aida/validation_policy.yaml.aida/validation_registry.yaml.claude/skills/api-client-regen/SKILL.md.claude/skills/cassette-update/SKILL.md.claude/skills/commit/SKILL.md.codex/config.toml.copyrightignore.gitignore.gitlint.mcp.json.pre-commit-config.yamlAGENTS.mdCLAUDE.mdCONTRIBUTING.mdMakefilepackages/gooddata-dbt/AGENTS.mdpackages/gooddata-dbt/CLAUDE.mdpackages/gooddata-eval/AGENTS.mdpackages/gooddata-eval/CLAUDE.mdpackages/gooddata-fdw/AGENTS.mdpackages/gooddata-fdw/CLAUDE.mdpackages/gooddata-flexconnect/AGENTS.mdpackages/gooddata-flexconnect/CLAUDE.mdpackages/gooddata-flight-server/AGENTS.mdpackages/gooddata-flight-server/CLAUDE.mdpackages/gooddata-pandas/AGENTS.mdpackages/gooddata-pandas/CLAUDE.mdpackages/gooddata-pipelines/AGENTS.mdpackages/gooddata-pipelines/CLAUDE.mdpackages/gooddata-pipelines/README.mdpackages/gooddata-sdk/AGENTS.mdpackages/gooddata-sdk/CLAUDE.mdpackages/tests-support/AGENTS.mdpackages/tests-support/CLAUDE.mdpyproject.tomlscripts/conventional_commit_gitlint_rule.pyscripts/validate_python.sh
💤 Files with no reviewable changes (23)
- .aida/templates/pr-title.txt
- .aida/templates/pr-body.md
- .aida/preferences.yaml
- .codex/config.toml
- .aida/change_domains.yaml
- .aida/git_policy.yaml
- .copyrightignore
- .aida/validation_registry.yaml
- .aida/rules/packages/gooddata-sdk.mdc
- .gitignore
- .aida/rules_selection.yaml
- scripts/validate_python.sh
- .aida/rules/packages/tests-support.mdc
- .aida/rules/packages/gooddata-pipelines.mdc
- .aida/rules/packages/gooddata-flexconnect.mdc
- .aida/rules/packages/gooddata-pandas.mdc
- .aida/.gitignore
- .aida/rules/packages/gooddata-fdw.mdc
- .aida/rules/packages/gooddata-flight-server.mdc
- .aida/rules/packages/gooddata-dbt.mdc
- .aida/validation_policy.yaml
- .aida/templates/commit-message.txt
- .mcp.json
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AIDA is deprecated. aida-mcp stopped at 0.13.0 (2026-04-02), declares mcp>=1.25.0 with no upper bound and so cannot import against mcp 2.x, and gdc-nas, gdc-ui and gdc-mastercard-panther have all removed it already. This repository was the last one still wired to it, with the server disabled locally anyway. The shape here follows gdc-nas#22202, scaled down for nine packages. What AIDA left behind was worse than nothing: AGENTS.md and the Cursor, Junie and JetBrains rule files were gitignored generated stubs pointing at MCP tools that no longer answer; every package rule ended with a Dependencies footer naming technologies/python and technologies/testing, which exist nowhere in the tree; and gooddata-eval had no rule at all. Rules are now tracked -- a root AGENTS.md plus one per package, each with a CLAUDE.md importing its sibling. This also restores repository knowledge that AIDA's February migration deleted and its generic embedded profiles never replaced: the VCR cassette recording loop, the commit conventions, the package map, the generated-client warning and the Python conventions, updated for ty rather than mypy. Three skills cover the workflows history shows recurring most: cassette re-recording (100 commits mention cassettes, and the top six churn paths over the last 400 commits are all fixture directories), api-client regeneration, and commits. Each package file was then audited against its own source, which found twelve factual errors. Four were in gooddata-sdk and two of those came from AIDA's rule file, carried over unchecked: - The client example passed host= and token= as keywords. The parameters are host_ and token_, and create() also takes **custom_headers_, so the example raises TypeError while the keyword copies are accepted as HTTP headers. - "Services grouped by prefix catalog_*, compute_*, insights_*, tables_*" described a convention that does not exist. The file now lists the fourteen real properties. - export was filed under compute. It is its own service. - "Visualization services: insights, dashboards" claimed dashboard support that visualization.py does not have. The rest: gooddata-dbt reads gooddata.yml, not gooddata.yaml (the gdc CLI reads gooddata.yaml, so both files now state the difference); gooddata-flight-server's tests use checked-in certs, so make dev-certs is not a pytest prerequisite; gooddata-pandas' method list implied SeriesFactory has for_visualization; tests-support sorts through a five-key allowlist rather than broadly; and four gooddata-eval module roles were wrong, with trace linking under core/agentic/ rather than core/langfuse/. Each file now opens with what the package is for and carries the verified gotchas an agent would otherwise rediscover the hard way -- among them that gooddata-pipelines full_load() deletes every record absent from its input, that gooddata-sdk layout path defaults bind Path.cwd() at import time, that editing tests-support normalization needs the consumers' tox environments recreated, and that a new gooddata-eval agentic kind defaults to workspace-mutating. Commit format becomes enforceable for the first time. .gitlint pointed extra-path at packages/repo-tools/src/quiver_monorepo/, a path from another repository that has never existed here, and make dev ran a bare `pre-commit install`, which does not wire up the commit-msg stage gitlint needs. Both are fixed, the rule gains a required-trailer check for jira and risk, and default_stages is pinned so the copyright hook cannot rewrite the commit message once that stage is installed. The staging make targets interpolated the token and data source password into recipe lines, which make echoes on every run and prints under -n even from an @-prefixed line, and passed them in the sub-make's argv where ps exposes them to any user on the host. The recipes now read both from the environment as shell variables and are @-prefixed, with the root Makefile exporting them so a .env value reaches the recipe the same way an exported one does. Two documented workflows did not match the code and are fixed: the gooddata-pipelines README called UserFullLoad.from_list_of_dicts(), which exists nowhere in the package, and CONTRIBUTING's staging section named TOKEN where the targets require STAGING_ADMIN_TOKEN, omitted STAGING_DS_PASSWORD entirely, and claimed the token reaches pytest as a --gd-test-token flag rather than an environment variable. That flag appears nowhere in the repository. scripts/validate_python.sh is removed: nothing but AIDA's validate_command called it, and its trailing-JSON contract existed only for AIDA's external_json processor. AGENTS.md documents the make targets instead. Also recorded, not fixed here: staging-tests.yaml exports only TOKEN, so a triggered run fails at its first step. Recent runs have been skipped rather than executed, which is why it stayed invisible. Fixing it needs a repository secret for the data source password. jira: trivial risk: nonprod
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Summary
Removes AIDA and replaces it with agent configuration that every tool reads natively.
AIDA is deprecated:
aida-mcpstopped at 0.13.0 (2026-04-02), declaresmcp>=1.25.0with noupper bound and so cannot import against mcp 2.x, and
gdc-nas,gdc-uiandgdc-mastercard-pantherhave all removed it already. This repository was the last one stillwired to it, with the server disabled locally anyway. The pattern here follows
gooddata/gdc-nas#22202, scaled down for nine packages instead of twenty-five services.What AIDA left behind was worse than having nothing:
AGENTS.mdand the Cursor, Junie andJetBrains rule files were gitignored generated stubs pointing at MCP tools that no longer
answer; every package rule ended with a
Dependenciesfooter namingtechnologies/pythonandtechnologies/testing, which exist nowhere in the tree; andgooddata-evalhad no rule at all.Rules are now tracked. A root
AGENTS.mdplus one per package, each with aCLAUDE.mdthatimports its sibling. This also restores repository knowledge that AIDA's February migration
deleted and its generic embedded profiles never replaced — the VCR cassette recording loop, the
commit conventions, the package map, the generated-client warning and the Python conventions —
brought up to date (
ty, notmypy).Three skills in
.claude/skills/, chosen from measured churn rather than ported wholesale:/cassette-update(100 commits mention cassettes; the top six churn paths in the last 400commits are all fixture directories),
/api-client-regen,/commit.Commit format becomes enforceable for the first time.
.gitlintpointedextra-pathatpackages/repo-tools/src/quiver_monorepo/…, a path from another repository that has neverexisted here, and
make devran a barepre-commit install, which does not wire up thecommit-msgstage gitlint needs. Both are fixed, the custom rule gains a trailer check forjira:andrisk:, anddefault_stagesis pinned so the copyright hook cannot rewrite thecommit message once that stage is installed.
scripts/validate_python.shis removed — nothing but AIDA'svalidate_commandcalled it, andits trailing-JSON contract existed only for AIDA's
external_jsonprocessor.AGENTS.mddocuments the
maketargets instead.Audit of the migrated content
Each package's file was then audited against its own source, one agent per package. That found
twelve factual errors, four in
gooddata-sdkand two of those inherited from AIDA's rulefile and carried over unchecked:
host=/token=. The parameters arehost_/token_, andcreate()also takes**custom_headers_— so the example raisesTypeError, and passingthem both positionally and by keyword lands real credentials in
{'host': …, 'token': …}asHTTP headers with no error.
catalog_*,compute_*,insights_*,tables_*" described aconvention that does not exist. The file now lists the fourteen real properties.
exportwas filed under compute; it is its own service.visualization.pydoes not have — zero occurrences of "dashboard" in that module.
The rest:
gooddata-dbtreadsgooddata.yml, notgooddata.yaml(thegdcCLI readsgooddata.yaml, so both files now state the difference);gooddata-flight-server's tests usechecked-in certs, so
make dev-certsis not a pytest prerequisite;gooddata-pandas' methodlist implied
SeriesFactoryhasfor_visualization;tests-supportsorts through a five-keyallowlist rather than broadly; and four
gooddata-evalmodule roles were wrong, with tracelinking living under
core/agentic/rather thancore/langfuse/.Each file now opens with a description of what the package is for and carries the verified
gotchas an agent would otherwise rediscover the hard way. The ones that cause damage rather
than confusion:
gooddata-pipelinesfull_load()deletes every record not present in the inputgooddata-sdklayoutpathdefaults bindPath.cwd()at import time, so files land in theold directory after an
os.chdir()tests-supportnormalization needs the tox and uv caches cleared, or stale bytecodekeeps the old behavior
gooddata-evalagentic kind defaults to workspace-mutating; moving it toPARALLEL_SAFE_TEST_KINDSasserts read-only behavior nothing can prove for yougooddata-dbtsilently ignores models not taggedmeta.gooddata.model_idTwo documentation bugs found on the way
packages/gooddata-pipelines/README.mdcalledUserFullLoad.from_list_of_dicts(…), whichexists nowhere in the package, so the one worked example in a README that ships to PyPI raised
AttributeError. Validating CSV rows directly does not work either (extra="forbid", anduser_groupsis alist[str]). Fixed, and verified to run against a real CSV.CONTRIBUTING.md's staging section was wrong three ways: it namedTOKENwhere the targetsrequire
STAGING_ADMIN_TOKEN, omitted the equally requiredSTAGING_DS_PASSWORD, and claimedthe token reaches pytest as a
--gd-test-tokenflag rather than an environment variable — thatflag appears nowhere in the repository.
Test plan
make format— 574 files already formattedmake lint— all checks passedmake type-check— exit 0, 8/8 packagesmake test-docs-scripts— 92 passedgooddata-evalsuite — 713 passedlast 40 non-merge commits on master
good one, and leaves the message file unmodified
AGENTS.mdchecked against source firstAGENTS.mdandCLAUDE.mdare picked up with no AIDA MCP presentmake dev, then confirm a commit missingrisk:is rejectedNo shipped package code changed — the diff is markdown, config, one local git-hook rule and the
make devtarget.Heads-up for the team
After this merges, re-run
make dev. Commits then requirejira:andrisk:trailers, andrisk: mediumis no longer accepted (nonprod/low/highonly). For calibration, 34 ofthe last 40 non-merge commits on master would fail the new check, almost all for a missing
risk:— the convention lapsed when AIDA'scommit_commandstopped working. Nothing in CIvalidates commit messages, so this is local-only and will not block anyone's PR.
Risk assessment
nonprod— tooling and documentation only. No runtime code, no package behavior, no CIworkflow changes.
Known follow-up, deliberately not in this PR
.github/workflows/staging-tests.yamlexports onlyTOKEN, while the Makefile has requiredSTAGING_ADMIN_TOKENandSTAGING_DS_PASSWORDsincea62fb226(2026-03-25). A triggered runfails at its first step; recent runs have all been skipped rather than executed, which is why
this stayed invisible. Fixing it needs the workflow to export both names plus a repository secret
for the data source password, so it is documented in
CONTRIBUTING.mdand the rootAGENTS.mdrather than silently changed here.
jira: trivial
risk: nonprod
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Summary by CodeRabbit
Documentation
Developer Workflow
Configuration