We just shipped 5 features for AI engineers:

1. Smart Variables

Create templates with {{variable}} syntax. Click to edit, save as presets.

Example:

Mastra is an open-source TypeScript framework for building AI-powered applications and agents.

Founded by the team behind @Gatsby and backed by @Y Combinator, they will be live on @Product Hunt this Wednesday, January 21.

If you are using n8n, you probably stopped thinking about it at some point. It just runs. The workflows, the glue code, the stuff that would be painful to rewire if it disappeared.

We want the real stories here. What is n8n handling for you today? What did it replace? What breaks if you turn it off?

Vibe coding is about moving fast from idea to production without getting stuck on infrastructure.

A simple stack that works well:

• Frontend and Backend: @Google Antigravity, @Cursor, @Claude Code

• Databases and RAG: @Pinecone

• Cloud and DevOps: Bult.ai

• LLMs: @OpenAI, @Google Gemini, @Hugging Face, @Ollama

Bult.ai handles deployment, infrastructure, SSL, domains, scaling, and CI CD, so you can focus on building the product, not managing servers.

We re officially in nominees season for the Orbit Awards: AI Workflow Automation.

In a notable shift in the AI landscape, Apple and Google have announced a multi-year collaboration under which Apple s next generation of Apple Foundation Models will be based on Google s Gemini models and cloud technology.

According to the joint statement, these models will help power upcoming Apple Intelligence features, including a more personalized Siri, expected later this year.

Hey,

Since I started heavily using agents with CLI products, I've been super frustrated with Terminal. And looking at other options they mostly felt bloated and lacking features I wanted to make multi-agents piloting easier.

There s one thing we re really good at as builders:
we constantly try to improve our work and our product every single day. But an honest question I often ask myself is: do we put the same effort into updating ourselves?

At Murror, we re a small team of around five people.
For me, it s important not only to improve the product, but to continuously update my mindset, skills, and learnings and share them openly with the team.

I try to communicate everything I learn, ask questions, and clarify problems as much as possible, so the product we re building becomes better, clearer, and more convincing for our users.

To do that, I try to practice a few things consistently:

Whenever I browse product launches, I somehow subconsciously judge not only the product itself and its quality, but also the quality that is reflected in the effort the makers put into preparing it.

It may sound insignificant, but in my case, these things also make a significant difference:

• Icon GIF at the launch it enlivens the overall impression and is dynamic

• Quality graphics and video

• First, a properly filled-out comment

• Photos in the makers' profiles (it's less trustworthy for me when there's only the letter "J" or something similar)

• Whether any of my contacts or acquaintances on the platform reacted to the launch

At the beginning, my reason was very simple: I needed a job and I genuinely liked the product.

I graduated with a Marketing degree, but I never felt like I belonged in agencies or similar environments. It just wasn t for me. At the same time, I didn t have much experience in tech either. So I took a leap of faith and applied for a Customer Support role, almost blindly.

The early days were tough. I had no technical background, no real understanding of how apps were built, and everything felt overwhelming. But the product itself became my motivation. I started from the most basic things: learning simple technical terms, understanding how an app is structured, and slowly exploring how everything works behind the scenes.

LinkedIn officially shared the job titles that started appearing more often, and with the rise of AI, the market is restructuring.

The actual top 10 roles that have seen the biggest rise in listings (in the U.S.) are:

1. AI engineers Engineers developing and implementing AI models that perform complex tasks

2. AI consultants and strategists - Helping organisations plan and implement AI technologies to improve operations

3. New home sales specialists Which sounds like a rebranding or real estate agent

4. Data annotators Labelling and reviewing data for AI projects

5. AI/ML researchers Designing new AI models and systems

6. Healthcare reimbursement specialists Ensuring healthcare providers are getting correct and timely payments

7. Strategic advisors and independent consultants Which seems like a pretty broad-ranging segment

8. Advertising sales specialists You re reading a marketing blog, I assume you know this one

9. Founders Not sure this can be listed as a job title in itself, but LinkedIn s keen to highlight how people are shifting to their own businesses

10. Sales executives

Most people love vibe coding until the app grows.

At some point, prompts stop being enough and everything starts to break:
features clash, logic leaks everywhere, and just ship it turns into rewrites.

Every AI builder eventually hits the same wall:

the AI builds fast, but it doesn t understand the product.