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Show HN: Mirrors – test AI agent changes by replaying production traces
23 days ago
- Mirrors converts production traces into an isolated copy of an agent's environment for safe testing.
- It rebuilds schemas, discovers tools, and provides a runnable copy with seeded databases and scored tool matches.
- Enables replaying agents consistently to measure accuracy, catch regressions, and ensure changes work before deployment.
- Offers deterministic, byte-identical worlds for reliable failure reproduction without touching production systems.
- Supports on-demand launch, scaling to zero, per-minute metering, and integration via a versioned API and workspace keys.
- Provides free building with deterministic seeding, with Custom plans for unlimited sandboxes, API access, and SSO.
Show HN: Grade your code's post-quantum crypto exposure A–F, free, in-browser
21 days ago
- A Cryptographic Bill of Materials (CBOM) is crucial for identifying quantum-vulnerable cryptography in your stack as part of PQC migration.
- An open-source scanner provides a full scan in CI/CD workflows, generating a CycloneDX 1.6 CBOM, SARIF report, and an A–F grade badge without uploading data.
- The scan can be run locally via npm or integrated into GitHub Actions, with options to fail builds on broken classical cryptography.
- For audit readiness, an Evidence Pack Express offers a cryptographically signed deliverable including an executive summary, findings, CBOM, and migration plan.
- Note: The scanner is lexical, findings are leads to verify, not a complete inventory, and it does not guarantee quantum safety or certification.
Understanding ECS from Kubernetes Perspective
17 days ago
- Containerizing a small team's app often leads to adopting Kubernetes by default, resulting in maintenance overhead and delayed app development.
- ECS is a container orchestrator with fewer moving parts than Kubernetes, offering similar functionality with fewer operational decisions and defaults.
- The core concept of both ECS and Kubernetes involves declaring desired state and using a control loop to enforce it, enabling features like rolling deployments.
- ECS reduces operational burden by eliminating version upgrades, deprecation cycles, and many management layers, making it suitable for small teams.
- Key benefits of ECS include no control plane costs, less engineering time spent on maintenance, and a focus on app debugging over platform issues.
- Drawbacks of ECS include limited operator ecosystem, less tooling support, potential hiring challenges, and a control ceiling for advanced features.
- EKS is recommended for teams with dedicated platform operators, need for stateful infrastructure not offered by AWS, multi-cloud requirements, or existing Kubernetes expertise.
- For small teams (under 10 engineers) shipping web products, ECS minimizes operational complexity, allowing focus on product development rather than infrastructure management.

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Show HN: Mirrors – test AI agent changes by replaying production traces

Show HN: Grade your code's post-quantum crypto exposure A–F, free, in-browser

Understanding ECS from Kubernetes Perspective