Dirt

4.7K posts

Dirt banner
Dirt

Dirt

@dirty_digs

Growth Specialist @dirt_digital | @exo_tech_ @runpentagon

Canada | Thailand Entrou em Şubat 2017
3.8K Seguindo2.6K Seguidores
D.R.
D.R.@dmitryrechkin·
Mental exhaustion has nothing to do with 25 or 100 years of experience coding in a single screen doesn't translate into orchestration of multiple agents. Managing multiple agents is more like being a manager and managing a few teams with constant meetings, random code reviews and so on. So it is obvious why he is mentally exhausted. People underestimate complexity of being a manager.
Lenny Rachitsky@lennysan

"Using coding agents well is taking every inch of my 25 years of experience as a software engineer, and it is mentally exhausting. I can fire up four agents in parallel and have them work on four different problems, and by 11am I am wiped out for the day. There is a limit on human cognition. Even if you're not reviewing everything they're doing, how much you can hold in your head at one time. There's a sort of personal skill that we have to learn, which is finding our new limits. What is a responsible way for us to not burn out, and for us to use the time that we have?" @simonw

English
1
0
0
17
Dirt
Dirt@dirty_digs·
@NH32WEB Very welcome! Let me know if you have any questions!
English
0
0
0
8
Niall
Niall@NH32WEB·
@dirty_digs Thanks for the intro to Pentagon webinar for Superteam Ireland Mike. I’ll check this out the weekend.
English
1
0
2
14
Dirt retweetou
edgar
edgar@edgarpavlovsky·
onboarding flow feeling cleaner 🤘
English
7
1
16
1.4K
Dirt
Dirt@dirty_digs·
@JulianGoldieSEO The orchestration layer matters more than the agents themselves. Give whatever LLM you're using a project management tool like @runpentagon. Thats what your students should be using. Give a fish, eat for a day, teach ...
English
0
0
0
14
Julian Goldie SEO
Julian Goldie SEO@JulianGoldieSEO·
Claude Managed Agents Just Killed N8N...
English
2
0
7
937
Rich G
Rich G@elephant1618·
Started from the bottom, now we're here. 18 AI agents working Autonomously on YOUR operations floor. 17 of 18 firing at 100% success rate in the last 24 hours. Next: deploying this multi-agent orchestration into real businesses. 2 goals: -Help your business make more money with less overhead - Make your operations more efficient with fewer people needed
Rich G tweet media
Rich G@elephant1618

we've gone from 1% accuracy to 50% to 93%. on my build to 98% success rate ive added a few more agents but ive gone down in successes now hovering around 75%.. main cause is my comms agent is not communicating well enough. -ai for real life use!

English
3
1
5
196
Bayshore Innovation Lab
Bayshore Innovation Lab@BayshoreLab·
Stop building AI Chatbots. Start building AI Workforces. We’ve spent 500+ hours stress-testing CrewAI, AutoGen, and LangChain in the Bayshore Innovation Lab. Here is why most "Agentic" projects fail in production—and how we solved it with a custom orchestration layer. 🧵👇
English
2
0
0
21
Dirt
Dirt@dirty_digs·
@kayintveen Use @runpentagon and build an auditing flow. They'll communicate, use best practises, remember and then iterate. Heartbeats mean they'll do it on schedule
English
0
0
0
4
Kay
Kay@kayintveen·
that moment when claude code confidently refactors your auth middleware and you realize you have to actually understand what it did before merging. vibe coding stops being vibes real fast when its production
English
6
0
6
218
Dirt
Dirt@dirty_digs·
@sedim3nt This is accurate, i run multiple teams of agents that persist across sessions and the memory layer is what makes everything else work. That and A2A with heartbeats. Check out @runpentagon Sedi
English
0
0
0
2
Sedim3nt
Sedim3nt@sedim3nt·
1/ Memory is THE unsolved problem. Every single person mentioned it. Agents forget mid-task. Context windows fill up. Data is siloed across Google Drive, CRM, project management. One person is building a semantic index of their ENTIRE file system just so their agent knows who they are.
English
1
0
0
17
Sedim3nt
Sedim3nt@sedim3nt·
Got on a call with 7 people building autonomous agent systems this week. Marketing agencies, e-commerce founders, AI consultants, governance researchers. Different stacks. Different models. Same problems. Here's what everyone is struggling with 🧵 spirittree.dev/specs
English
6
0
1
22
Dirt
Dirt@dirty_digs·
@Nil053 Agent identity and persistence with agent communications and heartbeats. You should check out @runpentagon Nil
English
0
0
0
12
Nil
Nil@Nil053·
New blog post about designing and building my agent orchestration tool. - Architecture overview - How the Claude Agent SDK works - Agent identity and persistence - Inter-agent discoverability - The WebSocket layer - The browser frontend, isometric geometry, and svg drawing - The office metaphor and why - Must-have QoL features: safety hooks, custom skills, voice prompting, notifications, auto-generated conversation topics, etc. Link below
Nil tweet media
English
2
0
0
53
Ema
Ema@emaacejas97·
I just open-sourced JARVIS. A native desktop app to orchestrate AI coding agents across multiple machines — from a single dashboard. What it does: → Real-time monitoring of Claude Code sessions → Task dispatch to any machine via SSH/Tailscale → Git workflows, pipelines, branch management → Full session timeline and analytics Built with Tauri 2 + Rust + Svelte 5. No cloud. No subscriptions. Runs on your local network. MIT License. Star it, fork it, ship with it. github.com/emawritz/share…
English
1
1
1
66
Dirt
Dirt@dirty_digs·
This is what it feels like to be a wizard @runpentagon Hearbeats changes things drastically 🔥
English
0
0
2
139
Dan Shipper 📧
Dan Shipper 📧@danshipper·
BREAKING: Cursor 3 is now out! It's a complete rewrite to turn Cursor into an agent orchestration tool for dispatching, monitoring, and managing AI agents locally and in the cloud. We've been testing it for the last week internally @every and here's our vibe check: - The editor is fast. Cursor clearly knows how to build a desktop app. It's much snappier than the desktop apps of other orchestration tools like Claude or Codex. - The local to cloud implementation is promising. When you hand off a task to the cloud agent it will build your feature and automatically send you a demo video in action. This was a big wow moment for us. - But it's still an early product and it's not clear who will love it. Cursor 3.0 is a complete rewrite—so it's not a mature enough product for Claude Code or Codex lovers to switch. It isn't that much better. This release totally changes the Cursor experience to deprioritize the IDE—a move that is sure to upset a sizable number of existing Cursor fans. We think it's promising but in our testing it didn't cause anyone on the team to switch to it full-time. This is the right strategic move for Cursor, but it also feels like an awkward in-between stage. Their team is iterating incredibly fast, so we’ll be paying attention over the coming weeks and months as it improves. Read our full vibe check: every.to/vibe-check/cur…
Dan Shipper 📧 tweet media
English
14
11
155
31.9K
Dirt
Dirt@dirty_digs·
It's a funny thing realizing you've been a content creator for years. Going to try and own that. Something something distribution? Least @runpentagon makes it easier
English
0
0
0
98
James Long
James Long@jlongster·
regarding agent memory, I'm realizing: I never want anything loaded automatically. no loading yesterday's memories etc (AGENTS.md is different, not memory) I don't want chronological memories. I want topical memories grouped based on what I'm doing I want to be explicit about it generally, especially saving but also reading. some automatic reading based on me switching "into" a topic might make sense most thing I see don't really fit what I want
English
92
11
471
43.2K
Dirt
Dirt@dirty_digs·
telephone agents are likely impressive, but i can guarantee they will never be able to instill the art of "kill them with kindness" Currently on hold, trying to sort out flight problems for bringing my cats to Canada... this level of AI doesnt exist
English
0
0
2
158