Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

pi+herdr+lakebed clutch af 🐀

joel ⛈️

22,643 subscribers

64,650 Aufrufe • vor 2 Monaten •via X (Twitter)

Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

🌀 "loops" are nothing new, but they take thoughtful consideration to build durably. This is a quick look at how I'm thinking about loopcraft, building durable loops from scratch, and experimenting with Pi, Herdr, and Theo - t3.gg's Lakebed (a shitty cloud for shitty apps)

🌀 "loops" are nothing new, but they take thoughtful consideration to build durably. This is a quick look at how I'm thinking about loopcraft, building durable loops from scratch, and experimenting with Pi, Herdr, and Theo - t3.gg's Lakebed (a shitty cloud for shitty apps)

joel ⛈️

45,709 Aufrufe • vor 2 Monaten

The Lakebed Temple Completed

The Lakebed Temple Completed

Nostalgia Daily

774,503 Aufrufe • vor 5 Monaten

people kept asking for a browser in herdr. but herdr lives in your terminal so it's not possib... INTRODUCING THE HERDR-BROWSER PLUGIN experimental and separate from herdr core. this isn't a browser rendered in your terminal (impossible), but it acts like one! 👇

people kept asking for a browser in herdr. but herdr lives in your terminal so it's not possib... INTRODUCING THE HERDR-BROWSER PLUGIN experimental and separate from herdr core. this isn't a browser rendered in your terminal (impossible), but it acts like one! 👇

herdr

148,034 Aufrufe • vor 1 Monat

Releasing a herdr plugin that was mostly a prototype... annotate anything in herdr. ctrl+b A (create annotation) ctrl+b M (view annotations) link below

Releasing a herdr plugin that was mostly a prototype... annotate anything in herdr. ctrl+b A (create annotation) ctrl+b M (view annotations) link below

plannotator

128,544 Aufrufe • vor 26 Tagen

This is a fun project Lakedbed, Herdr, Pi, Effect, XState prototyping a looping autonomous agent that monitors issues and clears its own backlog. The project is dogfooding an issue tracker into a durable agent that is building the issue tracker its looping over. It's an imperfect demo and the result isn't polished, but I think there's a lot fo interesting ideas to explore and expand on. The goal here is to demo a stack of tools that have been giving me consistently reliable results. Herdr and Pi make a KILLER combo for building a bespoke custom harness around your work. Lakebed is really nice to work with. Plenty of other opinions in the workshop lol - Pi as the agent harness — a minimal loop you own instead of rent, running GPT-5.5 through a Codex subscription inside a Docker workshop container - Planning before prompting: TLDraw sketches, a grilling session with Matt Pocock's Wayfinder skill, and a VISION.md to act as guardrails for the looping agent - Event sourcing with Effect v4 and Effect Schema, ports-and-adapters so the JSONL issue store can become GitHub Issues or Linear or whatever later - Multi-agent orchestration in herdr: an operator pane and an agent-loop pane, where one Pi session literally types prompts into another (fuckin LOVE this) - Enforcement that actually bites: OxLint with Ultracite, Lefthook hooks, and an agent that tries to eslint-disable its way past a complexity rule before fixing it properly 🤡 - A live issue tracker UI on Lakebed, built by the loop it tracks Workshop repo: The repo has a docker container to fire it up as a sandbox. Chapters: 0:00 Intro: Loopcraft and the workshop setup 2:25 Starting Pi inside the Docker container 4:31 Designing the looping issue resolver 10:16 Choosing XState v5 and Effect v4, prompting the starter 15:17 Why Pi: a minimal harness you own 19:35 Reviewing the generated scaffold 24:53 Architecture summary page with Lakebed 30:43 Matt Pocock skills and the vision.md concept 36:37 Grilling session: defining the vision 46:54 Daemon architecture and spec/ticket skills 55:38 Agent loop pane: one agent prompting another 1:01:22 Watching the build: compaction, tests, lint enforcement 1:07:59 Building the Loopcraft Pi extension and monitor 1:15:32 Lakebed issue tracker UI 1:21:07 Kanban board live: running the loop end to end 1:31:49 Wrap-up: bugs, next steps, takeaways

This is a fun project Lakedbed, Herdr, Pi, Effect, XState prototyping a looping autonomous agent that monitors issues and clears its own backlog. The project is dogfooding an issue tracker into a durable agent that is building the issue tracker its looping over. It's an imperfect demo and the result isn't polished, but I think there's a lot fo interesting ideas to explore and expand on. The goal here is to demo a stack of tools that have been giving me consistently reliable results. Herdr and Pi make a KILLER combo for building a bespoke custom harness around your work. Lakebed is really nice to work with. Plenty of other opinions in the workshop lol - Pi as the agent harness — a minimal loop you own instead of rent, running GPT-5.5 through a Codex subscription inside a Docker workshop container - Planning before prompting: TLDraw sketches, a grilling session with Matt Pocock's Wayfinder skill, and a VISION.md to act as guardrails for the looping agent - Event sourcing with Effect v4 and Effect Schema, ports-and-adapters so the JSONL issue store can become GitHub Issues or Linear or whatever later - Multi-agent orchestration in herdr: an operator pane and an agent-loop pane, where one Pi session literally types prompts into another (fuckin LOVE this) - Enforcement that actually bites: OxLint with Ultracite, Lefthook hooks, and an agent that tries to eslint-disable its way past a complexity rule before fixing it properly 🤡 - A live issue tracker UI on Lakebed, built by the loop it tracks Workshop repo: The repo has a docker container to fire it up as a sandbox. Chapters: 0:00 Intro: Loopcraft and the workshop setup 2:25 Starting Pi inside the Docker container 4:31 Designing the looping issue resolver 10:16 Choosing XState v5 and Effect v4, prompting the starter 15:17 Why Pi: a minimal harness you own 19:35 Reviewing the generated scaffold 24:53 Architecture summary page with Lakebed 30:43 Matt Pocock skills and the vision.md concept 36:37 Grilling session: defining the vision 46:54 Daemon architecture and spec/ticket skills 55:38 Agent loop pane: one agent prompting another 1:01:22 Watching the build: compaction, tests, lint enforcement 1:07:59 Building the Loopcraft Pi extension and monitor 1:15:32 Lakebed issue tracker UI 1:21:07 Kanban board live: running the loop end to end 1:31:49 Wrap-up: bugs, next steps, takeaways

joel ⛈️

15,610 Aufrufe • vor 2 Monaten

🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀

Sensitive content

🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀

The Dan Le Batard Show

60,209 Aufrufe • vor 2 Jahren

🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀

🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀

The Dan Le Batard Show

119,496 Aufrufe • vor 2 Jahren

🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀

🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀

The Dan Le Batard Show

149,916 Aufrufe • vor 2 Jahren

🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀 BOUNCER!! YOU CANT TALK FOR THE CULTURE, YOU NEED A RESET 💯 via YouTube Cc: RTM Podcast Show ANCIENT ONE 🗣️®️™️

🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀🐀 BOUNCER!! YOU CANT TALK FOR THE CULTURE, YOU NEED A RESET 💯 via YouTube Cc: RTM Podcast Show ANCIENT ONE 🗣️®️™️

BIG BAD SPRAY (MR RTM) #WhyMinister

34,833 Aufrufe • vor 9 Monaten

C-17 action on the dry lakebed. What a sight! 📹: jmehunter

C-17 action on the dry lakebed. What a sight! 📹: jmehunter

Aviation

99,061 Aufrufe • vor 3 Monaten

Ratas 🐀 🐀 🐀 🐀 🐀 🐀 🐀

Ratas 🐀 🐀 🐀 🐀 🐀 🐀 🐀

El Nacho .

14,808 Aufrufe • vor 10 Monaten

GET SHIT ON YOU SMART ASSIST CAPELLO 5 AT THE BACK RAT 🐀🐀🐀🐀🐀🐀🐀 So disgusting

GET SHIT ON YOU SMART ASSIST CAPELLO 5 AT THE BACK RAT 🐀🐀🐀🐀🐀🐀🐀 So disgusting

Jacques

20,051 Aufrufe • vor 4 Monaten

If you're running multiple coding agents (Codex, Claude Code, Pi) at once, you're going to want to watch this. Herdr is a terminal multiplexer that actually understands your agents. Oh, and it has incredible mouse support. Bet I can convince you in 6 minutes:

If you're running multiple coding agents (Codex, Claude Code, Pi) at once, you're going to want to watch this. Herdr is a terminal multiplexer that actually understands your agents. Oh, and it has incredible mouse support. Bet I can convince you in 6 minutes:

Jilles Soeters

59,148 Aufrufe • vor 2 Monaten

🐀🐀🐀🐀🐀🐀

🐀🐀🐀🐀🐀🐀

Bethsaida Lopez. C

15,958 Aufrufe • vor 1 Jahr

👇🏻🐀🐀🐀🐀🐀🐀🐀😈 Ratas.

Sensitive content

👇🏻🐀🐀🐀🐀🐀🐀🐀😈 Ratas.

Luis

159,323 Aufrufe • vor 1 Monat

NeoVIM + Herdr + gitu + Ghostty(with shaders) + Keeby * Please turn up the volume.

NeoVIM + Herdr + gitu + Ghostty(with shaders) + Keeby * Please turn up the volume.

Lex Tang

150,223 Aufrufe • vor 5 Monaten

He brought all the snacks🦉🐀 As Luna the tawny owl laid her new clutch🥚, her new partner stepped up with deliveries. Watch the story 👉

He brought all the snacks🦉🐀 As Luna the tawny owl laid her new clutch🥚, her new partner stepped up with deliveries. Watch the story 👉

Robert E Fuller

12,280 Aufrufe • vor 6 Monaten