AI-generated analysisPublished automatically and not human-verified. Validated context appears in community notes below.
← Watch feed
Informational 15 Bitcoin

Split CI test script into parallel jobs

Public commit record

What the developer wrote

Authored by Joost Jager

78/100 · Adequate
Split CI test script into parallel jobs

Split the monolithic ci-tests.sh into six focused scripts that run as
separate parallel jobs via a reusable workflow (ci-build.yml):

- ci-tests-workspace.sh: workspace checks, tests, docs, and downstream compat
- ci-tests-features.sh: crate feature/flag combinations (dnssec, tokio, backtrace, test vectors, serde)
- ci-tests-bindings.sh: c_bindings builds and tests
- ci-tests-nostd.sh: no_std builds and compatibility checks
- ci-tests-cfg-flags.sh: experimental gated cfg flags (taproot, simple_close, lsps1_service, peer_storage)
- ci-tests-sync.sh: block sync and transaction sync clients

Shared setup (MSRV pins, backtrace) is extracted into ci-tests-common.sh.
The ci-tests.sh script now delegates to the sub-scripts for local use.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
✓ Descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Mentions testing or verification
The short version

What changed, and why it matters

This commit is purely a refactoring of the project's continuous integration (CI) setup. It splits one large test script into six smaller, focused scripts that can run in parallel on GitHub Actions. There are no changes to the actual Lightning protocol code, cryptography, networking, or any code that end users or nodes run. It does not fix or introduce any security-relevant behavior.

Recommended action

No security action needed. Treat as normal infrastructure/maintenance change.

Security signals we found

No strong security signals were identified.

Risk score

Why this scored 15/100

Our methodology →
Potential impact 0/30
Exploitability 0/25
Stealth signal 0/15
Affected reach 0/15
Confidence 10/10
Evidence quality 5/5
Human-validated context

Community notes

Notes can correct, qualify, or add evidence to the AI analysis. Every note shown here has been validated by a human moderator.

No validated notes yet.

The AI analysis stands alone for now. Submit a note if you can add evidence or important context.