ESLint

Evidence (8)

• 4InfoQ·8/4/2026open_source
  eslint-rspack-plugin 5.0.0 Released as Pure ESM

  eslint-rspack-plugin 5.0.0 has been released as a pure ESM package, removing its CommonJS build to match the Rstack ecosystem. The plugin still embeds ESLint into the build process, but users may see longer build times and may want to use separate lint commands for better efficiency.

• 2Hacker News·7/8/2026product_launch
  Decoding the obfuscated Bash script on a Uniqlo T-shirt

  A Hacker News post describes finding an obfuscated, self-evaluating Bash script printed on the back of an Akamai-designed Uniqlo T-shirt. The script is an Easter egg that decodes a Base64-encoded payload and displays a celebratory message, discovered after OCR and manual cleanup of the printed text.

• 6Hugging Face Blog·6/30/2026framework_update
  Every Eval Ever Results Now Appear on Hugging Face Model Pages

  Hugging Face has integrated Every Eval Ever (EEE) with Community Evals so evaluation results can be cross-posted and viewed in a more standardized format. The integration links results to model pages, leaderboards, and a shared metadata store, and includes a converter between EEE records and Hugging Face's YAML-based eval format.

• 5Martin Fowler·5/27/2026research
  Test suite as a regression sensor for AI code

  The article describes using a set of automated “sensors” to monitor maintainability in AI-generated codebases, with the test suite serving as a regression sensor. It discusses combining tests with static analysis, dependency checks, and mutation testing to catch issues early and support self-correction before changes reach humans.

• 4Martin Fowler·5/20/2026research
  Three More Static Code Analysis Sensors

  Martin Fowler highlights a practical follow-up on using static code analysis and related sensors to help coding agents keep codebases maintainable. The article discusses feedback tools such as linting, dependency rules, coupling analysis, modularity review, and mutation testing to catch issues early and support self-correction.

• 5Martin Fowler·5/19/2026research
  Maintainability sensors for coding agents

  The article describes practical experiments with using automated “sensors” to help AI coding agents keep a codebase maintainable. It highlights tools such as linting, dependency checks, test coverage, mutation testing, and structural analysis to catch maintainability issues early and support self-correction before changes reach humans.

• 4Anthropic News·5/19/2026framework_update
  Anthropic broadens frontier AI discussions

  Anthropic said it has սկսել dialogue sessions with scholars, clergy, philosophers, ethicists, and other groups to inform how it develops frontier AI systems. The company says these conversations may help shape Claude’s constitution, training values, and evaluation priorities, with a focus on moral formation and responsible deployment.

• 7Hugging Face Blog·3/24/2026framework_update
  Hugging Face Blog Introduces EVA for Voice Agent Evaluation

  ServiceNow AI researchers present EVA, an end-to-end framework for evaluating conversational voice agents across both task accuracy and spoken interaction quality. The framework outputs two scores, EVA-A and EVA-X, and ships with an airline dataset plus benchmark results for cascade and audio-native systems.