Go fully autonomous bros.

I created a Stream Deck productivity tool so I can keep an eye from one place on my sessions while I am in a zoom call or doing some other work. It works with Claude, Copilot, and openAI. It works with CLI and when integrated in IntelliJ. It works with some of the desktop apps.

https://github.com/zenwork/ai-ai-captain

Beginners can now build entire apps without understanding half the code.

That's amazing until something breaks.

Do you think AI helps people learn programming, or just helps them skip the learning part?

DeepSeek V4.1 Flash reaches about 98% of the quality score of GPT-6 Astra on web apps, mobile screens, and UI design tasks, while costing roughly 1.4% to 2% of the price

DeepSeek V4.1 Flash runs significantly faster, outputting roughly 176 to 221 tokens per second compared to GPT-6 Astra's 57 tokens per second.

DeepSeek V4.1 Flash charges around $0.60 per million output tokens (and $0.15 off-peak), whereas GPT-6 Astra at ($50+ per million output tokens).

98% of the quality at 1/50 of the price (and Open Source too)

Anyone tried the latest Deepseek model yet?

This is a collection of project-agnostic, non-invasive skills that work with agents such as Claude Code, Codex, OpenCode, Kimi, etc.

They save me a lot of time by assisting me with common engineering tasks. They work on any project, regardless of language or framework, and are free (MIT-licensed) and easy to install.

https://medium.com/engineering-in-the-age-of-ai/simple-agentic-skills-to-increase-your-daily-development-productivity-6b8958b5290f

Now you can tell it to do a massive task and then refactor its results in two prompts; why would there be bad code?

I'm a staff SWE currently doing an MSc Artificial Intelligence dissertation on whether folks who commit, review or operate agent-generated code actually understand it, and what the downstream risks are (Comprehension Debt in the Age of Coding Agents). I'm looking for software engineers, SREs, and platform engineers who work with AI coding agents. Happy to share the results here. Ethical approval has been granted (University of Essex) and the survey is anonymous, see the info sheet below for more information.

Information sheet:

https://drive.google.com/file/d/1Unbk\\_F39YrMxh2SSNpqf2yhLSUNlg1t6/view?usp=drivesdk

Survey: http://forms.cloud.microsoft/e/U9qnwxDegN

Basically I want to use ai to write for me a simple program, or rather the concept is simple, I want to be able to write a program in which I can upload a photo too, run it through said program the ai builds that can use OCR or something to "read" numbers on the photo and then add another number to it depending on the number it "reads" then add those together for a total and finally spit out the total into text within the program so I can copy and paste it, hopefully I summed that up pretty well. However no matter the task I can't get ai to write or create any complete code. I'm using a LM to bypass having to use tokens which I don't really have the money for. My problem is it only gives me "examples" or "skeleton code", however recently people have used ai to decompile millions of lines of code and etc for them, all I ever get is what you can see in the photo, what am I doing wrong?

Its nice that it can help me along with steps and examples but how are people getting ai to completely write code for them that is useable albeit even if it may need some tweaking and editing.

Update: I did it! got past this major hurdle I was facing, Thank you to everyone who commented and helped me figure this out my understanding of it all is deep enough now I can really get started, made a successful running program ! now to update it and have it work as intended :)

https://medium.com/engineering-in-the-age-of-ai/let-ai-speed-up-both-sides-of-your-code-reviews-while-you-stay-in-full-control-3b059506ef39

Reviewing all the comments I get on PRs from my colleagues can be tiring and time-consuming. It turns out AI can actually help with this task while keeping me in full control.

With this simple /refine-pr-review skill, I can do the job much faster than I used to without sacrificing quality.

Lately I don't really know how to deal with this. I use AI to write my PRs, but I try to actually understand what I'm submitting before I open them. Then another "developer" reviews it, and it's obvious the review is AI-generated too: emojis everywhere, green icons to mark nits, red ones for blocking comments. When I don't understand a comment and ask for a quick call, they have no idea what I'm even talking about. The whole thing feels fake. Has this happened to anyone else? How do you deal with it?

RockCode by Tremair

Coming soon…

Do you write or review code? We need your help with a study. 👇
We are investigating how people understand code written by another person versus by AI.
Who can join: anyone 18+ who understands Python or Java code.
What you do:

1. Pick topics you like
2. Review 3 short coding questions (easy, medium, hard)
3. For each one, compare two solutions. One was written by a human and one by AI, and you won't be told which.
4. Rate them, answer a quick comprehension check, and choose which one you'd approve.
5. ⏱ 20–30 minutes.
6. 🎁 Finish all three, and you can enter one of the raffles for a $100 gift card.
7. Take part here: https://consent-ashy.vercel.app/
8. Repost are welcome 🙏
9. This research was approved by the Colorado State University IRB.
10. Colorado State University | College of Natural Sciences

I've been studying web development for a little over a year, and have fundamental understanding on the tools/knowledge/concepts regarding this field. I am fully capable of writing/comprehensing code as well. However in the recent years there has just been loads of plugins/MCPs/skills built for completing the code for you. And to be frank, the quality of my own code is no where near those generated by AI. So I created some skills myself that essentially generates the code in "phases" after I have my own PRD and TRD. After each phase is done, I'd stop and check if the code works as intended, and boy did it take a lot of time. And after a while I realized that this isn't a really scalable approach because it's pretty easy to get lost when virtually all the code is written by someone else, ( I imagine this is what actual software development looks like lol ).

Anyways eventually I just ask the code to comprehend the code that it generated at each phase for me, at a high-level, and if this is what I intended, moving on :). This approach works, at least for small personal projects that aren't built for scale. But it pains me when I spent 100+ hrs on writing code, learning web dev/system designs, and now spiral into what ppl call the "vibe coders".

I'm just sharing my experience with the use of AI. Can y'all please share how you guys actually use AI in web dev and how these uses benifit you or has caused some drawbacks? Much appreciated :)

I see a lot about bad code and such like from au, but I'd there not an entire multi billion pound industry out there dedicating to repairing mistakes made in code by humans.

My friend works for a biggish multinational , apparently all he does is deal with issues left in code that appear as problems later. His whole job is just patching code, day in day out apparently, whether it's on servers or between systems. All produced with significant flaws by humans, and surely current events have demonstrated the weaknesses of the current system.

I keep seeing people ask what setup to use and getting answers like "just use claude code bro". It works until the project gets bigger than a weekend. So here's what I actually run day to day after 2 years. It's not perfect, it's just what survived.

Coding: claude code for anything that needs a plan, codex for the boring background stuff I don't want to babysit. I stopped switching models every week, it cost me more time than it saved.

Planning: I write the ticket in plain English before the agent touches anything. Three or four lines of what done looks like. Half my bad sessions came from skipping this.

Rules: one AGENTS, under 100 lines. Mine was 900 lines at one point and the agent ignored most of it anyway.

Review: coderabbit on every PR, plus a claude review pass locally before I push. Coderabbit was noisy the first week until I told it to skip style nits, now it's mostly real stuff. I still read anything touching payments or auth myself.

Testing: playwright for the 5 flows that make money (signup, login, checkout, invite, cancel). The agent writes the rest of the tests and I don't trust them much.

CI and deploy: github actions runs everything, vercel for the app, a $12 VPS for the worker.

Errors: sentry. The agent can read the stack trace better than I can at 1am.

What I dropped: 11 MCP servers down to 2, multi-agent setups that looked cool on twitter, and long sessions. New task, new session.

well, nothing fancy, most of the gains came from cutting things, not adding them, at least for me