I keep hearing and reading about how programmers are at risk; basically, everything that can be replaced by AI is at risk.

• Yesterday, Lenny Rachitsky shared a post that PM openings are at the highest levels since 2022.

• At the same time, I read how big giants (Meta, Amazon, etc.) are laying off engineers because of AI, and then I read about how they had to hire back again because something managed by AI went wrong.

I ve been testing the 'Free Tier' limits of the 2026 AI landscape. While everyone swears by Claude 3.7 or GPT-5.2, I m trying to find the 'Golden Ratio' for makers on a zero-budget.

My current findings for the Office Bee MVP:

• The Brain: Gemini 3.1 Pro (via AI Studio) seems to have the highest 'Reasoning-per-Dollar' (free) for deep R&D.

• The Frontend: v0 (Free Tier) for shadcn/ui components.

• The Glue: Bolt.new for the initial scaffold.

The Challenge: Most 'free' models hallucinate complex state management in full-stack architectures.

I have been cranking out apps for the past few years and loving it.  Then one morning a week or 2 ago I got a little ambitious and decided to build a desktop email client because outlook was so-so and superhuman was ridiculously expensive.  

Is this a big mistake?   Am I wasting my time ?

I m noticing something weird happening in solo dev land.

We used to compete on:

• remembering docs

• knowing frameworks

• being a better coder

Now it feels like the real edge is:

Most people think AI will take over every tech job, and knowing code is irrelevant I strongly disagree. Let me explain why.

AI can write code faster than most of us, sure. But three skills matter more than ever in a world where everyone just vibes it:

BOOM! Expense management startup @Ramp acqui-hired @Jolt AI to "help its engineers build faster."

@karimatiyeh on X:

"Build faster." Yep, that about sums it up. We want Ramp engineers to be as productive as possible, firing on all cylinders. Jolt is pushing us even further in that direction. High. Speed. Development. Velocity. That's the move here.

The real founder coding vibe:

• You ship a small fix break 3 things

• You deploy confidently production crashes

• Local works perfectly Vercel says nah

• You spend 1 hour coding 4 hours debugging

• Slack notifications hit instant anxiety

Founders know the pain:
You re coding, marketing, fixing bugs, writing docs, and answering customer emails all at the same time.

What s your funniest or most painful founder-coding moment recently?
Let s vibe in the chaos

AI dev tools are evolving crazy fast , every few weeks there s a new must-try for vibe coders.

Some people are building full products with @ChatGPT by OpenAI and @Replit , others swear by @Cursor and @Claude by Anthropic , and a few are mixing @Lovable + @v0 by Vercel + @bolt.new to ship apps in record time.

I ve been refining my own vibe stack lately, trying to find that sweet spot between speed, control, and creativity.
It made me wonder ,what does your setup look like right now?

Hey Makers,

I recently left my project management job at a big company to follow my dream of becoming a solo developer and maker. I m still new to this community, but it already feels like home.

So far, I ve been building projects mostly around AI and Education:

• BookChunk: an AI tool that summarizes, quizzes, and chats with PDF books (still refining summary quality and reducing costs).

• Xformly: turns Excel sheets into online forms (currently struggling with large file handling).

• MiniDocuments: my latest launch - short, step-by-step tech PDF tutorials for fast learning.

• Now I m working on my next idea - AI-generated tutorials - and honestly, it s full of challenges.

AI coding tools seem to come in two main flavors: IDE-based, like @Cursor and @GitHub Copilot, and terminal-based setups, like using @Claude Code to generate commands, scripts, or entire files. Both have their fans, but which one actually helps you move faster?

Curious what flow people are sticking with long term, and where you see the most gains (or frustrations).

AI coding tools seem to come in two main flavors: IDE-based, like @Cursor and @GitHub Copilot, and terminal-based setups, like using @Claude Code to generate commands, scripts, or entire files. Both have their fans, but which one actually helps you move faster?

Curious what flow people are sticking with long term, and where you see the most gains (or frustrations).

On Product Hunt, I can see many people launching their products using "vibe-coding tools" like @Lovable , @bolt.new , or@Replit

I reckon many people who created something with them are usually developers who didn't have enough time for building a side idea before, but with AI, they could make it happen.