ayarotsky/diesel-guard

Description and use

**Summary**
Diesel‑Guard is a Rust‑based linter that scans Diesel and SQLx migration files for risky PostgreSQL schema‑change patterns that can cause downtime. By flagging unsafe operations early, it helps teams keep their CI pipelines clean and their production databases stable.

**Value**

• **Time savings** – developers get instant feedback on migration safety, reducing the back‑and‑forth during code review.
• **Reliability** – catches patterns that could lock tables, cause data loss, or trigger long‑running locks before they reach production.
• **Automation** – can be run locally, in pre‑commit hooks, or as part of CI to enforce a “no‑dangerous‑migration” policy across the codebase.

**Practical adoption path**

1. **Add as a dev‑dependency** (or install the CLI) in the Rust workspace that contains your Diesel/SQLx migrations.
2. **Integrate into the developer workflow** – run diesel-guard check locally or via a pre‑commit hook to surface issues immediately.
3. **Extend to CI** – add a step in your GitHub Actions/CI pipeline that fails the build when the linter reports violations, ensuring every merge respects safe migration practices.
4. **Iterate** – start with a permissive rule set, then tighten the checks as the team becomes familiar with the patterns it flags.

**Production readiness**

• **Maturity**: Medium. The project is actively maintained (latest commit 2026‑06‑23), has 116 stars and 11 forks, and is written in Rust, which aligns well with Diesel/SQLx ecosystems.
• **Suitability**: Ideal for prototypes, internal tooling, and early‑stage services where migration safety is a priority.
• **Considerations before production**: Verify the license compatibility, perform a security audit of the crate and its dependencies, and evaluate the maintenance cadence to ensure long‑term support. Once these checks pass, Diesel‑Guard can be safely promoted to production CI pipelines.

Use in a workflow

ayarotsky/diesel-guard helps engineers save time in daily development and review loops.

• speed up developer workflows
• automate local engineering tasks
• improve CI feedback

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.