htahir111
Show HN: Skillburst - AI skills for your whole team, not just the engineers
Show HN: Git-Backed Skill Sharing for Non Techies
https://skillburst.ai/blog/why-i-built-skillburst/
tldr; Had to build this internally for my company, so decided to spin of as a project. I wanted to use GitHub to back my skills up but sales/marketing doesnt use GitHub, so you need middleware. This app is it.
Show HN: Record, replay, and improve AI agents in production
https://github.com/zenml-io/kitaru
At the AI Engineering World's Fair a big part of the conversation was to nail the self improvement loop. Our take on this is to record state of the agent execution with a durable runtime, then allow users to replay from state checkpoints and run 'what-if' experiments.It's OSS and free to use. Would love some feedback from the community.
Re:All your agents are going async
on Wednesday April 22, 2026 @07:30AM (#47862068)
so to be clear, this should be used "instead of" rather then "on top of" durable execution engines?
Re:All your agents are going async
on Wednesday April 22, 2026 @05:41AM (#47861209)
How would you differentiate between other tools like Temporal or Kitaru (https://kitaru.ai/) ?
Agent or Workflow? (Interactive Quiz)
Re:Agent or Workflow? (Interactive Quiz)
on Friday June 13, 2025 @04:37AM (#44266818)
I recently gave a talk arguing that most companies don't actually need AI "agents" - they need workflows. The agent/workflow distinction has become one of the most confusing topics in AI engineering, since the "Building Effective Agents" blog from Anthropic: https://www.anthropic.com/engineering/building-effective-age....
My definition: An agent is a system where the LLM controls its own execution flow based on environmental feedback. Everything else (prompt chaining, routing, parallelization, orchestrator-worker) is a workflow, even if it uses LLMs.
The problem is the line is incredibly blurry. To illustrate this, I built an interactive quiz with 7 code examples that test your intuition on what's an agent vs workflow.
The community voting results are fascinating - even technical folks disagree on edge cases like "research agents" with only 3 predefined action types, or orchestrator-worker patterns where the LLM dynamically determines task structure.
The quiz shows live voting results, so you can see how your intuitions compare to others. Would love to hear HN's take - where do you draw the line?
Performance Improvement Through SQLAlchemy and FastAPI Optimizations
AI Engineering vs. ML Engineering: Evolving Roles in the GenAI Era
Re:AI Engineering vs. ML Engineering: Evolving Roles in the GenAI Era
on Tuesday January 21, 2025 @11:13AM (#42781751)
What's everyone take on how to structure enterprise teams and ownership for LLM-powered applications?
Upgrading to Pydantic v2 – 433 commits later
Re:Show HN: ML pipeline that creates a model to produce ML pipelines
on Saturday January 20, 2024 @01:47PM (#39070892)
Sorry! Changed link to https://github.com/zenml-io/zenml-projects/tree/main/llm-fin...
Show HN: ML pipeline that creates a model to produce ML pipelines
A MLOps Starter Guide
Re:A MLOps Starter Guide
on Tuesday January 09, 2024 @07:52AM (#38925578)
Recently wrote a step-by-step guide using the open-source ZenML (Disclaimer: I'm the co-creator). Thought it covered some nice concepts and is OSS, so the HN community would appreciate. Peace!
Hugging Face to Sagemaker Endpoints with MLOps Pipelines
Show HN: Python Package to spin up MLOps infrastructure with Terraform
Show HN: MLStacks – open-source tool to deploy MLOps infrastructure in minutes
https://github.com/zenml-io/mlstacks
MLStacks is a Python package that allows you to quickly spin up MLOps infrastructure using Terraform.It is designed to be used with ZenML, but can be used with any MLOps tool or platform.Simply write stack and component YAML specification files and deploy them using the MLStacks CLI. MLStacks will take care of the rest. We currently support modular MLOps stacks on AWS, GCP and K3D (for local use).
Show HN: One-Click MLOps Platform Sandbox with ZenML, MLflow, Kubeflow and MinIO
Founder of ZenML here, the company behind the sandbox service. We created the MLOps Platform Sandbox to give ML and MLOps Engineers the ability to pick and choose their preferred infrastructure and tooling to build a platform that fulfills their company’s needs.Deploying a rudimentary MLOps platform can be time-consuming for new users. The MLOps Platform Sandbox bridges this gap by providing a...
Re:Show HN: You-tldr-Summarize and Interact with YouTube Videos in you...
on Friday March 24, 2023 @05:22AM (#35286818)
Oh! So sorry. Which videos did not come?
Show HN: You-tldr-Summarize and Interact with YouTube Videos in your language
Last weekend, my brother and I sat spent some time revamping one of our older products, you-tldr (https://you-tldr.com/) to the latest and greatest foundational models. We launched on HN back then, so I figured we'd do it again.The front end is made with Vercel and Tailwind, and the backend is a mixture of GCP Cloud Functions and a Fly.io FastAPI that utilizes LangChain and OpenAI GPT-3.5-turbo...
Re:Show HN: GitTrends – Find out when you're trending on GitHub
on Wednesday August 24, 2022 @08:43AM (#32578664)
Not at all harsh! Very valuable. Tbh it was really about just trying it out for now, its very arbitrary! :-) Do you have any suggestions on what exactly you'd like to do after you find out its Trending?
Re:Show HN: GitTrends – Find out when you're trending on GitHub
on Tuesday August 23, 2022 @06:04PM (#32572194)
Thank you! What would you think is a better price point? :-) it does cost money to keep the servers up and the mailing service working
Show HN: GitTrends – Find out when you're trending on GitHub
Hey HN! We're a team of two Pakistani brothers who like to build things. Every year we have a tradition of hacking together a fun project on the side, to learn and solve a niche problem.The idea of GitTrends came from the open-source work that we do in our daily jobs. We noticed how difficult it was to see when our repositories or developers were trending. For an event that can cause such an...
Re:Airflow's Problem
on Tuesday August 02, 2022 @05:19PM (#32324408)
Wouldn't it make sense to decouple the orchestration later from the authoring layer for the dags? That way you could solve the authoring problems separately from the lower level orchestration problems. We're trying this over at ZenML (https://zenml.io) but have yet to get feedback
Open Source Data Annotation and Labeling Tools
Re:Ask HN: Who is hiring? (March 2022)
on Tuesday March 08, 2022 @12:50PM (#30603054)
ZenML is hiring for a Design Engineer | Remote-friendly | Freelancer or Employee | Full-time or Part-time
ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. Built for data scientists, it has a simple, flexible syntax, is cloud- and tool-agnostic, and has interfaces/abstractions that are catered towards ML workflows.
We’re looking for a Design Engineer with a multi-disciplinary skill-set who can take over the look and feel of the ZenML experience. ZenML is a tool designed for developers and we want to delight them from the moment they land on our web page, to after they start using it on their machines. We would like a consistent design experience across our many touchpoints (including the [landing page](https://zenml.io), the [docs](https://docs.zenml.io), the [blog](https://blog.zenml.io), the [podcast](https://podcast.zenml.io), our social media, the product itself which is a [python package](https://github.com/zenml-io/zenml) etc).
A lot of this job is about communicating complex ideas in a beautiful way. You could be a developer or a non-coding designer, full time or part-time, employee or freelance. We are not so picky about the exact nature of this role. If you feel like you are a visually creative designer, and are willing to get stuck in the details of technical topics like MLOps, we can’t wait to work with you!
Apply here: https://zenml.notion.site/Design-Engineer-m-f-1d1a219f18a341...