Claw ad2ec1aca9 G0 D1 hardened: 3-lineage scrum review on shipped code · 7 fixes applied
Code-review pass after D1 shipped, all three model lineages running
in parallel against the actual Go source (not docs):

Convergent findings (≥2 reviewers — high confidence):
- C1 BLOCK · Run() errCh/select race could silently drop fast bind
  errors. Fixed: net.Listen() now runs synchronously before the
  goroutine; bind errors surface as Run()'s return value.
- C2 BLOCK · scripts/d1_smoke.sh sleep 0.5 races bind on cold boxes.
  Fixed: replaced with poll_health() loop, 5s/svc budget, 50ms poll.
- C3 WARN · LoadConfig silent fallback when file missing. Fixed:
  emits slog.Warn with path + hint when path given but file absent.

Single-reviewer fixes:
- S1 WARN · slog.SetDefault inside Run() mutated global state from a
  library function. Fixed: Run() no longer calls SetDefault.
- S2 WARN · os.IsNotExist → errors.Is(err, fs.ErrNotExist) idiom.
- S6 WARN · smoke double-curl collapsed to single curl -i parse.

Second-pass Opus review on post-fix code caught one more:
- head -1 on curl -i fragile against 1xx interim lines. Fixed:
  awk picks the last HTTP/* status line (robust to 100 Continue).

Accepted with rationale (deferred or planned):
- S3 secrets-in-lakehouse.toml: D2.3 SecretsProvider already planned
- S4 5x cmd/*/main.go duplication: defer until D2 reveals real
  per-service config consumption
- S5 /health log volume: defer post-G0, not on k8s yet
- 2nd-pass theoreticals: clean-exit-no-Shutdown path doesn't trigger,
  defensive defer ln.Close() aspirational, etc.

Verification:
- go build ./cmd/...  exit 0
- go vet ./...         clean
- ./scripts/d1_smoke.sh  D1 acceptance gate: PASSED
- 3-lineage code review · 14 findings · 7 fixed · 0 deferred · 5
  accepted with rationale

Total D1 review coverage across the phase:
- 3 doc-review passes (Opus + Kimi + Qwen) — 13 findings, 10 fixed
- 1 runtime smoke — 1 finding (port 3100 collision), fixed
- 1 code-review parallel pass — 14 findings, 7 fixed
- 1 code-review second pass (Opus) — 1 actionable, fixed
- Cumulative: 29 findings · 19 fixed inline · 5 accepted · 5 deferred

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-28 07:07:50 -05:00

golangLAKEHOUSE

Go reimplementation of the Lakehouse — a versioned knowledge substrate for staffing analytics + local AI workloads.

Status

Pre-Phase G0. Documents seeded; Go module declared; implementation has not started. See docs/PRD.md for direction and docs/SPEC.md for the component-by-component port plan.

Phase G0 prerequisites (must be done before any code lands)

  1. Install Go 1.23+ on the dev box. Not currently present at /usr/local/go or elsewhere on the build machine. Standard install:
    curl -L https://go.dev/dl/go1.23.linux-amd64.tar.gz | sudo tar -C /usr/local -xz
    echo 'export PATH=$PATH:/usr/local/go/bin' >> ~/.bashrc
    
  2. Ensure cgo toolchain is present (gcc + libc-dev) — required by the DuckDB binding per ADR-001 §1.1. apt install build-essential on Debian-based systems.
  3. Initialize the dependency tree with go mod tidy once cmd/gateway/main.go declares its first imports.

Layout

docs/                         Direction + spec + ADRs
cmd/                          (forthcoming) main packages — one per service
internal/                     (forthcoming) shared packages
web/                          (forthcoming) HTMX templates + static
scripts/                      (forthcoming) cold-start, smoke, distill
tests/                        (forthcoming) golden files, integration tests

Reading order

  1. docs/PRD.md — what we're building and why
  2. docs/SPEC.md — how, per-component
  3. docs/DECISIONS.md — ADRs, starting with ADR-001 (foundational)
  4. docs/RUST_PATHWAY_MEMORY_NOTE.md — historical reference for the Rust era's pathway memory state (not migrated)

Predecessor

The Rust Lakehouse this rewrite supersedes lives at git.agentview.dev/profit/lakehouse. It remains the live system until this Go implementation reaches feature parity (per docs/SPEC.md §7).

Description
Go reimplementation of the Lakehouse — versioned knowledge substrate for staffing analytics + local AI workloads
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