AgentProof Review 2026: Local-First CI Verification for AI-Generated Code Diffs

AgentProof Review 2026: Local-First CI Verification for AI-Generated Code Diffs

AgentProof is a free, local-first proof harness that verifies AI-generated code and diffs by detecting the project type, running safe local checks, launching the app, crawling routes with Playwright, and scoring launch readiness — all without uploading your source, using an API key, or trusting a cloud vendor. For AI code CI verification, it answers one question the chat transcript never can: did this app actually work, or did it just look good in the transcript? This review covers how AgentProof works, its GitHub Action score gate, its pricing, and how it compares to ProofPack and the broader “proof beats diffs” movement. ...

August 13, 2026 · 11 min · baeseokjae
DeepEval Tutorial 2026: Pytest-Native LLM Evaluation for Production AI

DeepEval Tutorial 2026: Pytest-Native LLM Evaluation for Production AI

DeepEval is an open-source, pytest-native framework for evaluating LLM outputs using 50+ research-backed metrics — no labeled data required for most production use cases. Install it with pip install deepeval, write test cases like Python unit tests, and run deepeval test run from the CLI to catch regressions before they reach users. What Is DeepEval and Why Pytest-Native LLM Evaluation Matters in 2026 DeepEval is an open-source LLM evaluation framework built by Confident AI that treats model quality testing the same way software engineers treat unit testing: write test cases in Python, run them from the CLI, and fail the build when outputs degrade. As of May 2026, DeepEval has 15,291 GitHub stars, 250+ contributors, and is used by 150,000+ developers running over 100 million daily evaluations — including more than 50% of Fortune 500 companies for LLM quality assurance. The Apache 2.0 license means no usage restrictions in commercial products. ...

May 12, 2026 · 13 min · baeseokjae