GitHub Actions Reviews

marimo Reviews

GitHub Actions mentions (330)

• Building an agentic PR reviewer with Antigravity SDK

  With this transition timeline in place, development teams relying on Gemini CLI for repository management and automated tasks must establish a migration path. In this post, I will show you how to transition seamlessly by building an automated "first-pass" pull request reviewer using the Google Antigravity SDK and the run-agy-sdk composite GitHub Action. - Source: dev.to / about 2 months ago

• How to Build a CI/CD Pipeline from Scratch

  Choose a Git platform. GitHub, GitLab, or Bitbucket. All three provide CI/CD capabilities. GitHub Actions and GitLab CI are the most popular and best-documented. - Source: dev.to / 2 months ago

• How I built pairwise AI model compare pages with Claude Haiku and a budget cap

  Drive pair selection from search query logs. Right now I pick pairs by download rank. A better signal would be which pairs users actually search for. Pagefind runs client-side and doesn't log queries to any server, so I'd need a thin logging endpoint — something like a POST to a GitHub Actions-triggered function that appends to a JSONL file. Then the ETL reads the top-N ungenerated pairs from the log. This is a... - Source: dev.to / 3 months ago

• The top 15 developer productivity tools in 2026

  GitHub Actions lets developers automate workflows directly within GitHub. You write YAML workflow files that trigger on repository events to build, test, and deploy code. Actions provides hosted runners and supports matrix builds, so you can test across multiple OS versions in parallel. - Source: dev.to / 3 months ago

• Jenkins as a Code, or how I stopped clicking around in the UI

  On merge, GitHub Actions applies infra changes via Terraform, and the Jenkins seeder picks up new DSL files on its next poll. - Source: dev.to / 3 months ago

marimo mentions (15)

• Pluto.jl 1.0 release – reactive notebook for Julia

  Pluto is great. I use it all the time. If you like the reactivity/reproducibility but are wedded to Python, you might want to check out Marimo, which is also great. [https://marimo.io/] It too puts the output of a cell above the code so if you're unable to adapt to things that are different it's also probably not for you. FWIW, Observable's Notebooks (Javascript) work the same way: output above the code... - Source: Hacker News / 2 months ago

• Show HN: I'm tracking 197 known exposures of health data from UK Biobank

  Marimo notebooks give you the best of both worlds (https://marimo.io). - Source: Hacker News / 4 months ago

• Why DuckDB is my first choice for data processing

  Agree with the author, will add: duckdb is an extremely compelling choice if you’re a developer and want to embed analytics in your app (which can also run in a web browser with wasm!) Think this opens up a lot of interesting possibilities like more powerful analytics notebooks like marimo (https://marimo.io/) … and that’s just one example of many. - Source: Hacker News / 7 months ago

• Building SSR-Friendly Avatars with In-Browser AI: How I Trained Python Models and Ported Them to TensorFlow.js

  The training pipeline uses Marimo notebooks (think Jupyter, but reactive). Models are quantized to uint8 and served via CDN. Total bundle for a predictor: up-to 2MB. - Source: dev.to / 8 months ago

• Installing & Working with Python - in Ubuntu 24.04

  Marimo is a Jupyter notebook with each cell being somewhat logically connected to each other. That's way if you update the value of a variable in a cell and re-run it, related values in other cells will be auto-updated and auto-run. This is called reactive execution. Thus the notebook can act as a single python script or app and has an extension of .py instead of .ipynb. - Source: dev.to / 9 months ago