PlayerZero is literally an AI production engineer. Check them out here:
AUTOMATION
-

LangSmith Webhooks: Get Slack Notifications When Agents Complete
By
–
Tired of constantly checking if your long-running agent is done? Use the LangSmith Deployment webhook feature to send a slack ping when your run finishes! Here's how to wire it up in a couple of minutes https://
youtu.be/SR6eTBb0k2U Docs: https://
docs.langchain.com/langsmith/use-
webhooks
… -

Cursor Builds Instant Grep to Search Millions of Files in Milliseconds
By
–
Cursor can now search millions of files and find results in milliseconds. This dramatically speeds up how fast agents complete tasks. We're sharing how we built Instant Grep, including the algorithms and tradeoffs behind the design.
-
AI job safety claim for plumbers and electricians
By
–
“Only plumbers and electricians are safe from AI taking their jobs”
— AI Breakfast (@AiBreakfast) 23 mars 2026
Meanwhile:pic.twitter.com/LT82bnmnJu“Only plumbers and electricians are safe from AI taking their jobs” Meanwhile:
-
Executive ELT Training Sessions Claude Code Codex
By
–
we do 1-day ELT training sessions for top startups and Fortune 500s if you're an executive and want to get your hands in Claude Code, Codex, and more:
-

AI Automation Economics: Job Displacement vs Hiring Dynamics
By
–
After a brief hiatus, new post with @soumitrashukla9: "How Will AI-driven Automation Actually Affect Jobs? The economics of AI exposure and job displacement" There has been a lot of discussion in the media, X, substack, etc about AI driven displacement. We felt like it'd be worth working out the actual economics of when AI automation will actually lead to displacement, versus the exact opposite (more hiring, higher wages). A short summary🧵: AI "exposure" measures are not meant to predict displacement or job automation. Exposure can lead a job loss, or it can lead to more hiring and higher wages. It all depends on how 1) automated tasks interact with non-automated tasks (to what extent they're complements), 2) how consumer demand in that sector responds to prices (elasticity of consumer demand), and 3) the dimensionality of the job (the number of tasks a job has). One conclusion: we should be less worried about consultants and more worried about truckers and warehouse workers than we currently are. Link: substack.com/home/post/p-191…
-
Pretraining LLMs entirely on Hugging Face Hub infrastructure
By
–
You can now pretrain LLMs entirely on the HF Hub 💥 Last week, @OpenAI launched a competition to see who can pretrain the best LLM in under 10 minutes. So over the weekend, I made a little demo to automate this end-to-end using the Hub as the infra layer: – Jobs to scale compute – Buckets to store all experiments – Trackio to log all the metrics The cool thing here is that everything is launched locally: no ssh shenanigans into a cluster or fighting with colleagues over storage and GPUs ⚔️ All that's left is coming up with new ideas, but luckily Codex can automate that part too 😁 Can I have a job now please @reach_vb 🙏?
→ View original post on X — @thom_wolf, 2026-03-23 16:29 UTC
-
Proof: Share Markdown Files with AI Agents Easily
By
–
Try Proof to share markdown files with agents and humans super easily:
-

Agentic Workflows Transform Software Development Automation
By
–
Agentic workflows for software development https://
buff.ly/SiF4PdH
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Agent AI Project Management and Documentation Challenges
By
–
I'm not 100% sure about agents md but at least I didn't want it to go look for other projects that I have already, which it definitely does do. I also have a learnings md doc which it does have to fetch