
How to audit AI-agent-generated code before you adopt it: the DoltLite test
Use DoltLite as a case study to audit AI-agent PRs: check upstream deltas, test divergence, storage churn, and baseline performance.
| Newest | Section | Read |
|---|---|---|
| How to audit AI-agent-generated code before you adopt it: the DoltLite test | Agents | 3 MIN |
| Test an AI gateway on real agent traffic: five probes | Guides | 3 MIN |
| A 5-Point Checklist for Judging Vendor-Bundled AI Coding Assistants Before They Build Your ERP | Tools | 3 MIN |
| Test Brave Search API for AI Agents | Tools | 3 MIN |
| Test WPS Before Deploying an AI-Built Internal App | Agents | 3 MIN |

Use DoltLite as a case study to audit AI-agent PRs: check upstream deltas, test divergence, storage churn, and baseline performance.
A five-probe test plan for enterprise AI gateways: routing, guardrails, observability, policy, and cost attribution.
Run a five-question gate on schema access, promotion control, model switching, audit trail, and cost/time delta versus using the assistant outside the PaaS.
Use a probe for freshness, citations, ranking, latency, and cost before wiring Brave Search API into an AI agent.

Use DoltLite as a case study to audit AI-agent PRs: check upstream deltas, test divergence, storage churn, and baseline performance.

A five-question gate helps office teams separate a deployable AI-built app from a clever demo.

Reserve /boost for paid-plan work where a single-turn pass is likely to miss a stated invariant; use a five-point gate to decide when the extra reasoning is justified.

A five-probe test plan for enterprise AI gateways: routing, guardrails, observability, policy, and cost attribution.

A minimum viable agent test set pairs technical boundaries, adversarial cases, staging red teaming, action review, and post-launch monitoring.

Treat fast agent deployment as the start of an audit: a five-point field test for setup speed, permissions, visibility, misuse, and rollback.

Run a five-question gate on schema access, promotion control, model switching, audit trail, and cost/time delta versus using the assistant outside the PaaS.

Use a probe for freshness, citations, ranking, latency, and cost before wiring Brave Search API into an AI agent.

Run a repeatable audit of cost, latency, and failure modes before a cheaper Claude Code worker model becomes the team default.