I was reading this recent @OpenAI article about Gartner naming OpenAI a Leader in enterprise AI coding agents: https://openai.com/index/gartner....

"Software development is becoming more agentic." This is a good summary of what is happening right now. We are moving from AI that helps you write faster, to AI that can take over tasks (actions, use tools, make changes, run tests, and bring the work back for human review). That is a very different behavior.
The article gives Cisco as an example. They used Codex for a big part of their AI Defense platform and reduced delivery time from several quarters to a few weeks.

There seems to have two types of developers:

• Human in the loop: Those who like to control the behavior of their agents as it works, looking at the context usage, reading reasoning blocks, and approving individual file edits.

• Agent first: Those who prefer to review the output of agents, rather than individual actions, and run one or more sessions in parallel.

What type of developer are you when working with AI coding agents?

New AI models pop up every week. Some developer tools like @Cursor, @Zed, and @Kilo Code let you choose between different models, while more opinionated products like @Amp and @Tonkotsu default to 1 model.

Curious what the community recommends for coding tasks? Any preferences?

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).

Augment Code has been quietly building enterprise-grade coding tools for large engineering teams, and they launched Intent. heir answer to what comes after the IDE.

According to their announcement:

"The bottleneck has moved. The problem isn't typing code. It's tracking which agent is doing what, which spec is current, and which changes are actually ready to review."

At this point, all of the AI coding assistants are in the same neighborhood. Decent at "advanced autocomplete", OK at code generation sometimes, and most are somewhere in the process of incorporating code context mechanisms. But what's next? Agentic behavior? Something else?
My pet prediction is that we will see the emergence of a new programming language that's designed for use with AI and can be translated to a variety of popular languages. (Or if we're cursed, just javascript )

Meow world, welcome back to The Breakpoint, a weekly thread on all things dev tools on Product Hunt.

The latest

Recent dev-first products launched on the site.

I have been looking at what is actually getting traction on Product Hunt right now. The pattern is clear.

In March, OpenClaw products dominated the leaderboard. Anything with "Claw" in the name got votes. That was a land grab new space, everyone rushing in to claim a spot .

In April, that stopped. The "just build an agent" strategy stopped working. What replaced it? Products that do specific tasks inside workflows you already have .

Here is what the data shows.

Terminal or editor-first UI? How do you prefer to work with AI coding agents?

I am attempting to observe what you use for coding. I have come across many tools on Product Hunt + Web, but I am fairly certain I have missed quite a bit.
I divided them into "traditional" and "specialised".

Traditional AI models:

DeepSeek

There are tons of great coding agent CLIs and IDEs out there. Which do you use on a regular basis? What stands out as being the killer feature?

Meow world, welcome back to The Breakpoint, a weekly thread on all things dev tools on Product Hunt.

The latest

Recent dev-first products launched on the site

I've been primarily using @Cursor as I like how it operates, enjoy that it's visual, and I am getting very comfortable with using it and being able to easily select different code bits and modify what I need....however....
I recently started using Gemini CLI in @Warp and I must say... I'm kinda liking it. I feel that it's able to do a lot more, faster without needing me to jump in. When I do jump in, it's simply to provide it guidence and direction.
I haven't done much with it yet, but I can see myslef now doing a combination of CLI and IDE development. I'm curious what everyone elses experience is! Or if you haven't used a CLI or IDE AI tool, why?
A bit of additional background, I'm not a develpoer but more of a "vibe coder" I can kinda understand different languages and don't mind diving into tech docs but I prefer AI do more of the coding than me :)

I've been primarily using @Cursor as I like how it operates, enjoy that it's visual, and I am getting very comfortable with using it and being able to easily select different code bits and modify what I need....however....
I recently started using Gemini CLI in @Warp and I must say... I'm kinda liking it. I feel that it's able to do a lot more, faster without needing me to jump in. When I do jump in, it's simply to provide it guidence and direction.
I haven't done much with it yet, but I can see myslef now doing a combination of CLI and IDE development. I'm curious what everyone elses experience is! Or if you haven't used a CLI or IDE AI tool, why?
A bit of additional background, I'm not a develpoer but more of a "vibe coder" I can kinda understand different languages and don't mind diving into tech docs but I prefer AI do more of the coding than me :)

Three months ago, @Cursor launched Composer 1, their first coding agent, and they just released a new update, introducing 1.5.

I recently installed @Augment Code based on an ad somewhere, and I'm super impressed, but haven't heard a peep about it in most channels. But it got me wondering what else I'm missing. This is a crowded field with a few frontrunners and a lot of more esoteric newcomers, but I want to know about the ones that blow your mind but hardly get any coverage.

I was recently talking with a group of founders, and we went around sharing tools we're using now. Posting my notes for our community here - would love to know what else people are using!

Voice AI toolkit:

- Vapi

There are so many new AI agent platforms ( @Wordware @Lindy @CrewAI @zapier and so on) that I'm finding myself curious how everyone is using them.

What AI agents are you using in production? What do they do? Are they working and reliable? What would make them better? Are they replacing roles? Augmenting existing ones?

With all the excitement and hype around AI coding, there's a thought that bothers me.

AI makes mistakes. A lot. Some goes into production.

@OpenAI just dropped a 34-page guide on how to build intelligent AI agents. It s full of great ideas but could be hard to navigate if you're non-technical. I made a simple, no-code breakdown of only what you need to know here and how to apply these ideas into the no-code AI agents & multi-agent workflows you build on @MindPal here: https://mindpal.space/blog/opena...

For years, "learn to code" was a golden rule for career growth. But with AI assistants writing entire functions, debugging code, and even generating full applications, is traditional coding knowledge still essential?

Will the future of development be prompt engineering rather than coding?

Will AI make deep knowledge of algorithms and system design more important, while reducing the need for syntax memorization?

If AI does the coding, what skills will become most valuable for future developers?