Skip to main content

30 posts shown

  1. You need deterministic AI workflows that produce the same results every time.

    by @craftquest

  2. AI and AVyoutube.com

    Recording of the most recent Teams webinar I did where we talked about Swamp and audiovisual systems/IoT.

    by @dougschaefer

  3. The author describes forking Habitat (a Chef-originated software packaging and supervision tool) at its last Apache 2.0-licensed release from 2019, renaming it Dojo, and rebuilding its 625 plans from…

    by @reset

  4. The Swamp registry extracts extension argument names and descriptions via regex scanning of source text rather than runtime introspection, with specific formatting rules around .describe(), line…

    by @reset

  5. A clean example of running my daily briefing

    by @webframp

  6. Using Swamp to scan a system for eMudhra CA compromise and PHP RCE.

    by @skunk-ape

  7. An example of what I get up to each week using Swamp as the cornerstone to my work

    by @swamp_lord

  8. A developer builds a custom swamp workflow that converts Obsidian markdown blog posts to HTML and publishes them to Cloudflare Pages with automatic DNS setup via Caddy, without requiring a separate…

    by @svendowideit

  9. A developer documents the first-day experience configuring Swamp, a TypeScript-based automation CLI, in a C# and Unity game studio, covering installation quirks, behavior and workflow setup, agent…

    by @reset

  10. Our lights-on software factory builds systems we want to operate with the lights off. We work through the responsibility we’re giving those systems, build it into the operation and let them run. When…

    by @stack72

  11. Why I reach for swamp first, how I built this blog with it, and what I still need to work out before using it for network changes.

    by @tagur

  12. Every shift in software has been told it’s already solved. With AI, that pushback has become gatekeeping, and it risks talking us out of the biggest chance in decades to change how we build.

    by @stack72

  13. A developer describes replacing Jekyll with plain HTML, Web Components, and a custom Swamp-based publishing workflow that separates Markdown drafting in Obsidian from site generation, deployment to…

    by @mgreten

  14. I spend most of my day in herdr now. If you haven't run into it, it's a terminal workspace manager built for coding agents: workspaces, tabs, panes, and a sidebar that tells you which agent is…

    by @sntxrr

  15. I tried agents with skills. When they failed, I found swamp.

    by @webframp

  16. Jev-likes and Swamping ftw

    by @mellens

  17. American Sound used Swamp to build hundreds of custom integrations across AV and IT, giving its team front-line AI agents that meet customers where they are.

    by @dougschaefer

  18. I spent today inside the Swamp 🐊 A month or two ago I stumbled onto Swamp — an automation platform with a genuinely different idea: instead of letting an LLM decide every step of your automation…

    by @gklijs

  19. As Swamp Club launches and I blow out candles, we can start to look towards a new future of Agentic Ops.

    by @randybias

  20. A developer argues for behavior-centric design over agent-centric workflows, advocating for reusable, typed operations with defined inputs and outputs that constrain when AI reasoning is invoked…

    by @mgreten

  21. Swamp launched publicly today. I run most of my business and my homelab on it. Here is what 'behavior-centric' actually means once you have to operate the result.

    by @kneel

  22. It feels weird starting a software company when everyone around you says software is dead. And look around you - just this week people are reverse engineering tools we all grew up with, every company

    by @keeb

  23. An observer's note on Swamp's launch day, from January to seed round to GA in October.

    by @magistr

  24. A developer compares OpenAI Decisions and Jev APIs for cheap, narrow agentic judgments across routing, file selection, and screening tasks, finding both achieve roughly 93% accuracy while differing…

    by @mgreten

  25. More coding agents mean more concurrent changes. Why CI needs to verify that changes work together, and how speculative gating helps catch failures before merge.

    by @evrardjp

  26. Whether your tests catch real defects is not a property of the test level. It is a property of where the expectations come from and who can change them. The expectations have to come from outside the…

    by @stack72

  27. A developer describes using typed models, workflows, and versioned tooling (via a framework called Swamp) to make AI coding agents execute repeatable procedures consistently, rather than…

    by @mgreten

  28. A developer describes building a Swamp Club extension to sync write.as entries into a personal monorepo, using the project as a hands-on introduction to Adam Jacob's AI-era infrastructure tooling…

    by @mturro_29gn