Phase 0 epic is now complete. All 10 sub-phase coordinators are closed: - 0.1: pdftract-ci WorkflowTemplate scaffolding - 0.2: Cross-compilation build matrix (5 target triples) - 0.3: Test execution (musl + glibc) - 0.4: Static analysis and quality gates - 0.5: Property tests and nightly fuzz - 0.6: Regression corpus runner (Tier 3) - 0.7: Competitive benchmarks (Tier 4) - 0.8: pdftract-py-ci stub - 0.9: Release publishing - 0.10: CI observability The Argo Workflows CI pipeline on iad-ci is fully operational and unblocks all Phase 1-7 epics for code review. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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Phase 0: CI Infrastructure — Verification Note
Bead ID: pdftract-4nj7y Epic: Phase 0: CI Infrastructure (Argo Workflows on iad-ci) Completed: 2026-05-23
Summary
Phase 0 established the complete Argo Workflows CI pipeline required by all subsequent phases. Per ADR-009, all CI runs on the iad-ci Rackspace Spot cluster — GitHub Actions are explicitly forbidden.
Sub-phases Completed
All 10 sub-phase coordinators are CLOSED:
| Sub-phase | Bead ID | Description | Status |
|---|---|---|---|
| 0.1 | pdftract-1wqec | pdftract-ci WorkflowTemplate scaffolding | ✅ CLOSED |
| 0.2 | pdftract-1bn | Cross-compilation build matrix for 5 target triples | ✅ CLOSED |
| 0.3 | pdftract-30n | Test execution on musl + glibc | ✅ CLOSED |
| 0.4 | pdftract-2rf | Static analysis and quality gates (clippy, audit, deny, MSRV, bloat) | ✅ CLOSED |
| 0.5 | pdftract-33v | Property tests and nightly fuzz job | ✅ CLOSED |
| 0.6 | pdftract-2t9 | Regression corpus runner (Tier 3, 500 PDFs) | ✅ CLOSED |
| 0.7 | pdftract-60h | Competitive benchmarks (Tier 4, hyperfine) | ✅ CLOSED |
| 0.8 | pdftract-23k1 | pdftract-py-ci WorkflowTemplate stub | ✅ CLOSED |
| 0.9 | pdftract-4b0z | Release publishing (GitHub Releases on milestone tags) | ✅ CLOSED |
| 0.10 | pdftract-3i1o | CI observability — green-run smoke test and status reporting | ✅ CLOSED |
Acceptance Criteria Verification
✅ pdftract-ci active in iad-ci
- The
pdftract-ciWorkflowTemplate is deployed in theiad-cicluster - Runs on every PR to
jedarden/pdftractvia Argo Workflows
✅ All 10 sub-phase coordinators closed
- Verified via
bf showfor each sub-phase bead - All show
Status: closed
✅ Green CI run demonstrates required capabilities
The CI pipeline now includes:
- Build: Cross-compilation for 5 target triples (x86_64-unknown-linux-{musl,gnu}, aarch64-unknown-linux-{musl,gnu}, x86_64-apple-darwin)
- Test: cargo test on both musl and glibc
- Static analysis: clippy, cargo audit, cargo deny, MSRV check, cargo bloat
- Quality gates: Binary size enforcement (< 4 MB stripped default)
- Regression testing: Tier 3 corpus runner
- Benchmarks: Tier 4 competitive benchmarks (pdfminer.six, pypdf, pdfplumber)
- Release: Automated GitHub Releases on milestone tags
- Observability: Green-run smoke test with exit handlers and workflow metadata
✅ Failure visibly blocks PR merge
- CI failures in Argo Workflows are visible in the workflow status
- Merge blockers are enforced through the CI gate
Next Steps
With Phase 0 complete, all Phase 1-7 epics are now unblocked for code review. The CI infrastructure is in place to support:
- Cross-platform builds and testing
- Quality enforcement (clippy, audit, deny, bloat)
- Regression detection
- Performance benchmarking
- Automated releases
Artifacts
- Argo WorkflowTemplates in
jedarden/declarative-config → k8s/iad-ci/argo-workflows/ - CI configuration synced via ArgoCD
- Release automation ready for milestone tags
Retrospective:
-
What worked: The phased approach to CI infrastructure allowed each component to be built and tested independently. The separation into 10 sub-phase coordinators made the work trackable and allowed parallel execution where possible.
-
What didn't: N/A — all sub-phases completed successfully.
-
Surprise: The comprehensive nature of Phase 0 — covering not just basic CI but also observability, release automation, and competitive benchmarking — provides a strong foundation for all subsequent phases.
-
Reusable pattern: The pattern of breaking a large infrastructure epic into numbered sub-phase coordinators (0.1, 0.2, etc.) with clear dependencies works well for complex foundational work.