Summary
The day split across job-desc, fittrack, and cloud, with the heaviest work turning FitTrack's AI chat into a workout-data Q&A flow backed by new eval baselines and follow-up query fixes. Total changes: 38 unique files touched, +10906/-66 across 8 unique commits.
Content Signals
Strong: Shipping AI chat features with an eval baseline and immediate bug-fix follow-through is a strong story about making LLM product work measurable instead of vibes-based. Rationale: The FitTrack arc includes a new data-answering capability, a documented Gemini baseline, and two targeted fixes to query and fixture filtering, which makes the iteration path concrete and defensible.
Medium: Cleaning up handoff docs after live infra verification is a good example of updating team context to match reality. Rationale: The cloud work was small in file count but high in operational value because it corrected a stale blocker narrative after GCP was already proven, fixed, and torn down successfully.
Medium: Job-search material updates show a repeatable application-ops workflow rather than one-off resume editing. Rationale: The day combined applied artifacts, renamed resume assets, fresh company notes, and an expanded accomplishment index, which is useful material for talking about maintaining reusable job-search systems.
job-desc
Job-desc focused on application operations: recording a City of New York submission, cleaning up resume filenames, and expanding reusable resume context plus company-specific notes.
Repo changes: 10 unique files touched, +305/-0 across 3 unique commits.
512bfdf3d95fdocs: city of new york applied- Time: 5:10 PM
- Branches:
main
- Changes: 1 files, +0/-0
- Files:
job-descriptions/2026-06-23-city-of-new-york/andy-yu-resume-applied.docxadded (+0/-0)
6fb91d05ff3cchore rename resume- Time: 5:26 PM
- Branches:
main
- Changes: 1 files, +0/-0
- Files:
job-descriptions/2026-06-23-city-of-new-york/andy-yu-resume.docxdeleted (+0/-0)
3f65cc609694docs: update job materials and resume context- Time: 5:29 PM
- Branches:
main
- Changes: 8 files, +305/-0
- Files:
.gitignoremodified (+2/-0)job-descriptions/2026-06-30-mta/resume -v2.docxdeleted (+0/-0)job-descriptions/2026-07-02-book-of-the-month/andy-yu-resume.docxmodified (+0/-0)job-descriptions/2026-07-02-book-of-the-month/andy-yu-resume.pdfadded (+0/-0)job-descriptions/2026-07-03-judi-health/judi-healthadded (+96/-0)job-descriptions/2026-07-07-wealth-com/wealth-com.mdadded (+89/-0)resume-context/accomplishment-index.mdmodified (+35/-0)resume-context/projects/clouddeck.mdadded (+83/-0)
fittrack
FitTrack moved AI chat from general assistance toward answering questions about logged workouts, then locked in an eval baseline and fixed two data-filtering issues discovered right after the first pass landed.
Repo changes: 27 unique files touched, +10555/-41 across 4 unique commits.
d2dbb33e3775feat: AI chat data Q&A over logged workouts (Phase 1)- Time: 10:16 PM
- Branches:
feat/ai-chat-data-qa-phase-1origin/feat/ai-chat-data-qa-phase-1
- Changes: 24 files, +1930/-27
- Body:
- Add a get_workouts Genkit tool backed by a ChatDataReader seam so the
- chat assistant can answer questions about the user's logged training,
- plus a training-snapshot section and current date in the chat system
- prompt. Includes:
- ChatDataReader implementation over four new read-only queries, with
- server-side exercise/focus filtering
- Routing rules so history context never substitutes for workout-
- building inputs (notably injury status)
- Retry-once guard in StreamChat for empty model candidates (Gemini
- intermittently returns empty output when multiple tools are
- registered)
- Eval support: in-memory fixture reader, 8 data-* scenarios, two new
- outcomes (answer_from_data, answer_without_tools), date-aware
- required-term matching, per-scenario AllowedToolCalls, and a
- -with-data-fixtures sweep flag
- Files:
server/cmd/ai-chat-scenario-sweep/main.gomodified (+12/-2)server/cmd/api/main.gomodified (+1/-1)server/internal/aichat/models.gomodified (+27/-0)server/internal/aichat/repository.gomodified (+1/-0)server/internal/aichat/repository_data.goadded (+168/-0)server/internal/aichat/repository_data_integration_test.goadded (+182/-0)server/internal/aichat/repository_data_test.goadded (+77/-0)server/internal/aichat/repository_integration_test.gomodified (+6/-0)server/internal/aichat/runtime.gomodified (+120/-17)server/internal/aichat/runtime_test.gomodified (+132/-3)server/internal/aichat/service_test.gomodified (+18/-0)server/internal/aichat/tools_data.goadded (+184/-0)server/internal/aichat/tools_data_test.goadded (+125/-0)server/internal/aichat/workout_generation.gomodified (+18/-0)server/internal/aichat/workout_generation_test.gomodified (+17/-1)server/internal/aichateval/fixture_data.goadded (+137/-0)server/internal/aichateval/fixture_data_test.goadded (+70/-0)server/internal/aichateval/runner.gomodified (+16/-1)server/internal/aichateval/runner_test.gomodified (+160/-1)server/internal/aichateval/scenarios.gomodified (+69/-0)server/internal/aichateval/scenarios_test.gomodified (+9/-0)server/internal/aichateval/score.gomodified (+108/-1)server/internal/database/query.sql.gomodified (+202/-0)server/query.sqlmodified (+71/-0)
8e9a7ff0076adocs: add official AI chat eval baseline for d310b20- Time: 10:16 PM
- Branches:
feat/ai-chat-data-qa-phase-1origin/feat/ai-chat-data-qa-phase-1
- Changes: 3 files, +8577/-0
- Body:
- Two_turn sweeps of both scenario sets (19 default, 27 with data
- fixtures) on the clean Phase 1 commit, zero operational errors.
- Baseline: 16/19 and 24/27 pass; README records commands, per-scenario
- results, and known-noise labels for future comparisons.
- Files:
server/evals/baselines/2026-07-07-d310b20-gemini-2.5-flash/README.mdadded (+113/-0)server/evals/baselines/2026-07-07-d310b20-gemini-2.5-flash/baseline-two-turn.jsonadded (+3755/-0)server/evals/baselines/2026-07-07-d310b20-gemini-2.5-flash/fixtures-two-turn.jsonadded (+4709/-0)
df35c4eb821efix: filter ai chat exercise history rows- Time: 11:38 PM
- Branches:
feat/ai-chat-data-qa-phase-1origin/feat/ai-chat-data-qa-phase-1
- Changes: 3 files, +32/-9
- Files:
server/internal/aichat/repository_data_integration_test.gomodified (+1/-0)server/internal/database/query.sql.gomodified (+19/-8)server/query.sqlmodified (+12/-1)
30dd40c4a0cffix: filter ai chat eval fixture exercises- Time: 11:45 PM
- Branches:
feat/ai-chat-data-qa-phase-1origin/feat/ai-chat-data-qa-phase-1
- Changes: 2 files, +16/-5
- Files:
server/internal/aichateval/fixture_data.gomodified (+10/-5)server/internal/aichateval/fixture_data_test.gomodified (+6/-0)
cloud
Cloud work was a handoff correction pass that updated the repo narrative to reflect that the GCP deployment path had already been applied, verified live, debugged, and cleanly torn down.
Repo changes: 1 unique files touched, +46/-25 across 1 unique commits.
2938241479e1docs: correct HANDOFF.md - GCP is done, not blocked on ADC- Time: 11:33 PM
- Branches:
mainorigin/main
- Changes: 1 files, +46/-25
- Body:
- Git state showed GCP was fully applied, verified live (with a Cloud Run
- /healthz-swallowed-by-GFE fix), destroy-blocker gotchas found and fixed,
- and torn down - all committed on main (e6b6d5c, e5435c1, 15f5c09). The
- handoff doc still described it as blocked on ADC login with uncommitted
- work. Corrected the GCP section and advanced "next steps" to Azure.
- Co-Authored-By: Claude Sonnet 5 noreply@anthropic.com
- Files:
HANDOFF.mdmodified (+46/-25)
Run Details
- Scanned folders: 61
- Git repos scanned: 44
- Repos with commits: 3 logical repos
- Physical repos with matching commits: 11
- Repos without commits: 33
- Skipped non-Git folders: 16
- Excluded repos: 1 (
commit-journal) - Deduplicated duplicate clone/worktree commit entries: 64
- Matched identities:
- GitHub user:
Andrewy-gh - GitHub name:
Andy - GitHub email:
andrewydev6@gmail.com - Local Git name:
Andrewy-gh - Local Git email:
andrewydev6@gmail.com
- GitHub user: