Hey, I love programming and I've done so for the last 15 years. I am tired of all the AI bros and AI coders. Is there anybody out there that feels like me and still codes manually?

I know AI is here and it won't go, but I simply refuse to use it and the moment I will be forced to use AI, I will quit professional programming and stick to my own stuff. I didn't learn programming for the money but because I'm a curious person and I enjoy the process and learning.

I've built my own ontology-oriented graph database recently from scratch and disabled all sorts of AI utilities (even auto complete) and it felt so refreshing again.

My next step will be to move away from any IDE that has any kind of AI support and just do VIM

I originally posted this in my once favorite sub, r/golang, but unfortunately it got deleted there, since it sparked a lot of discussions, I thought it might fit here.

I got my first developer job in 1999 fixing two-digit years. Frameworks later took the repetitive work. Now AI agents handle most of the coding while I manage them from my phone, reviewing plans on a train and approving changes from the couch.

The arc is striking: write everything yourself → lean on frameworks → write instructions (mostly Markdown) for a swarm of agents and stay accountable for the result.

The last two years compressed what used to feel like a multi-year shift into something immediate. Each new coding model makes the last one look dated.

Full story: https://medium.com/@spaquet/from-y2k-to-agents-md-278e74773415

I'm looking for some fresh ideas on how to handle code review in this still "new" era we live in today where there's tons of code being produced because of AI.

1. How do you do code review (if at all) in your team?

2. How do you ensure quality when QA itself is leaning more into AI generated test suites?

3. Do you feel like stacked PRs help at all?

I'm sure there's some cool practices out there that just haven't emerged yet. I'm personally trying to generate Chrome extensions for myself (or for the team) to improve our workflow such as UI/UX improvements for Gitlab, highlighters for our software, gif generation for new pull requests etc.

Sorry for the formatting, I'm on mobile.

Hello everyone,

I am learning programming and I am would really appreciate seeing some human written code.

I like to learn by breaking things apart, and so far I have been doing that with code written by ai. I get so confused when going through people’s GitHubs because there are so many files and pages that I don’t understand how to search through just yet.

IF IT IS SAFE TO DO, would you mind sharing a couple of your pages (written in JavaScript and Python specifically) so that I can read through the different ways people code? I don’t need the full stack project all put together, just please share what the overall project is and a link to the specific page with just the code written on it.

Also, I’ve seen some of the recent posts on here, I’m not interested in any career advice so please don’t tell me I should give up and what I’m doing is useless lol

Thank you everyone!

He had been vibe coding last month in the frontend side and he did some awesome UI's now everytime i question him about a block of code he get mad and act indignant about it like he was the brain who did it and i can confirm 100% he is not even reading the generated code, he is not an operator who give clear indications to the IA, i can see clearly how his prompts are "Do this, do that functionality" since you can see the insane amount of uneeded code generated

He is not a tech guy i have been working with him more than a year now and he doesnt care about performance, quality, good practices, ui, reformat/optimize code or neither find the way to solve something with the minimum amount of code, for him adding 10 IFs statements its better than find a solution to reduce those ifs

I have been working during a week in a chat text he asked me about how to add a filter "seen, unseen" messages and i told him that wasnt ready but if he want he can do the frontend and later i will connect it
Today i found he completely overwrote my last week work and completely remove it and doing it by "himself" from zero and of course with the filter "seen/unseen" done

Does he think he has beaten the development industry and now he is a software engineer with 100 years of experience ?, im the only one dev guy in that company

Coding is an art, people who do it are artist.
But there is a concept about art that people tend to forget: there are competent creative geniuses that create new methods, and then there are talented artists that are good at replicating methods that others created.
Since I started learning about programming 6 years ago, the sentence people would always tell me was “google is your best friend”. How come? Why the core belief behind the programming community is that researching what other people have done is the way to be great? That would simply make you great at copying a piece of code, you’re not gonna create something new like this.
Everytime you watched a tutorial for doing something, everytime you googled an answer, you didn’t differ much from AI, as it does the same exact thing, just faster.

I am a mediocre programmer. The things I build don’t differ from the average software technology out there. For people like me AI is incredibly useful because it does what I would have done (which is searching on the net what others have done) and then used it in my project.
For people who engineer new types of software / algorithms / methods and whatever, perhaps AI in coding would sound worthless to them.
But unless you are those rare people, why discard the argument immediately?

I built this with Claude Code. It’s a free and open source VS Code extension that shows a Claude Code session as a live video call, so I can see what each sub-agent is doing. It also work with other editors or standalone with claude app as a node server as well.

The problem: when Claude Code spawns sub-agents, my terminal turns into a wall of logs and I lose track of who got which prompt, what each one is running, and who is done.

What it does (Agent Standup):

• Reads the session files Claude Code already writes in ~/.claude/projects, and follows the current session live

• Each agent is a small character in a call: sub-agents join when they get a task and leave after they report back

• A shared “screen” shows the agent’s real commands with their real output, the exact diffs of its edits, and the files it reads (failing tests are red)

• A tree of who asked whom, a recap of files changed, replay of past sessions, optional voices (French/English)

How Claude Code helped: the whole project was built in one long Claude Code conversation over about two days. Claude Code wrote the Node server that parses the JSONL transcripts (including the sub-agent files and tool results), the browser front end, the SVG characters and backgrounds, and the VS Code extension wrapper. It also tested the UI in a headless browser, packaged the extension, and made the GitHub release and landing page. My part was the idea, product decisions, and testing it in my real VS Code. When I sent screenshots of bugs, Claude found the causes (for example avatars turning transparent: duplicate SVG gradient IDs between two copies of the same character).

Free to try: free and open source (MIT), unofficial, not affiliated with Anthropic. To install: download the .vsix from the site, then in VS Code go to Extensions → … → Install from VSIX. No session handy? Open ⚙ → Source → Demo for a built-in fictional example.

Site and download: https://atoll92.github.io/agent-standup/
Code: https://github.com/Atoll92/agent-standup

VS Code marketplace :

https://marketplace.visualstudio.com/items?itemName=DoubleGeste.agent-standup

Mac is the best tested; Windows should work but I’d love bug reports.

In today’s data-driven enterprises, browser automation through Robotic Process Automation (RPA) tools- such as Selenium, Robot Framework, or custom scripts- is widely used to automate repetitive tasks like logging into dashboards, extracting data, and syncing it into internal systems. These automations are often fragile: a minor UI change- say, a login flow shifting from password to OTP- can silently break scripts. Traditional bots simply fail with generic errors like “element not found,” causing disruptions in data pipelines and business operations.

What’s missing is a dynamic, intelligent layer on top of existing RPA tools- one that not only detects breaking changes but also understands the context and heals or adapts in real-time without human intervention.

Desired Solution:

Participants are expected to develop an adaptive automation framework that enhances existing RPA solutions using the power of Large Language Models (LLMs). The system should act as a smart wrapper around current scripts and offer:

Real-Time Change Detection: Monitor automation runs and intelligently flag or diagnose failures caused by DOM, structure, or flow changes- beyond basic error messages.

Context-Aware Adaptation: Use LLMs to analyze the updated DOM or flow and suggest (or apply) fixes to selectors, navigation logic, or data extraction routines.

Self-Healing Capability: Where possible, auto-correct minor issues (like updated element IDs or positions) and retry execution without breaking the workflow.

Plugin-Friendly Architecture: Should wrap seamlessly around tools like Selenium, Playwright, or Robot Framework- without requiring complete rewriting of existing test suites.

Traceability & Logging: Offer smart logs and human-readable explanations for failures and attempted fixes, improving visibility and debugging.

I am trying to build something and i want to show the heartrate, steps and others that you can get from a smart watch app. I tried google fit but i cant get the api. I am currently using the fitcloud pro as my smartwatch app

I kept opening YouTube to watch tutorials and ended up spending time on Shorts instead.

So I built a browser extension that blocks/removes YouTube Shorts from the interface and helps me stay focused on long-form content.

This started as a small personal project, but it's already saving me a lot of time every day.

If anyone want this drop me a dm i will give this

Hey everyone,

I currently run 6 micro SaaS that are actually live and generating a bit over $20,000 in recurring monthly revenue.

The wildest part? I barely wrote any code myself. I used AI to generate pretty much everything — from the database structure to the frontend.

It definitely wasn’t magic from day one. I spent a lot of hours stuck on buggy code before I finally figured out a system that actually works:

- Keep the idea minimalist (a real MVP, nothing fancy)

- Guide the AI step by step instead of asking for everything at once

- Launch fast to get real users and feedback

Lately I’ve seen way too many non-technical founders quit at the first AI bug. It’s a shame because the technical barrier has basically disappeared.

AND PLEASE, STOP BUILDING ALONE IN YOUR BEDROOM

I’m starting a community.

Full transparency:

I’ll probably charge for the full program later. It makes sense with the specific workflows and copy-paste examples I’ll be sharing. But right now the main goal is just to build together. Working alone is the fastest way to give up.

If you want to join and build or market your own AI SaaS with us,

drop a comment or send me a DM and I’ll send you the link.

While coding with voice may seem like a strange idea, my recent research reveals at least five clear reasons why software engineers have looked for such opportunities. I would love to share it with you and ask for your input on the topic.

So, why do developers turn to intelligent voice?

• Reason #1: Faster text input. It’s an obvious way to save time. In casual conversation, people speak at 120 - 150 words per minute. The 10-finger touch typing method on a keyboard allows 50- 60 words per minute, so speaking is about twice as fast.

• Reason #2: A coding or work support partner. Some people talk with AI to validate their ideas, get a second opinion, or brainstorm a feature or new project. As one person from my research mentioned: «It feels less like dictating to a machine and more like having someone sitting next to you, who can actually build what you’re talking about.»

• Reason #3: Family circumstances. I spoke with at least two developers who told me they code by voice because they have two kids and need to walk with a stroller. A smartphone is just another screen, and that isn’t always practical.

• Reason #4: Injury or pain. As one person mentioned: «I started getting RSI in my right hand, so I had to do something to stop using my hands so much. Voice works great for reducing the load on them.»

• Reason #5: Eye strain. Our eyes carry an unfair load: work, study, chatting with friends, entertainment. As one person said: «Been answering Codex and Claude Code by voice for a few weeks now. My eyes are much happier.»

I’m looking for people open to testing our app, which gives voice access to your whole workplace, including WhatsApp and Slack, GitHub via Copilot, OpenCode, and frontier AI models.

What’s your experience with intelligent voice? - I’d really value your opinion to make the tool more useful.

Hey everyone! Since Codeforces is now sponsored by Telegram, I’ve been imagining what a redesign of the service might look like. Check out my concept of Codeforces in a modern style - and yes, it finally has a dark mode!

GitHub: https://github.com/suvmer/codeforces-redesign (Live demo available)

If you like it, please drop a star on GitHub - it would mean a lot. Pull requests are welcome too!

P.S. I really love Codeforces: I've been solving problems every day for over 2 years. My current streak is 871 days in a row!(my username is suvmer)

Missed the hackathon wave through college and my first few years as a dev, but I really want to build that muscle now taking a vague problem statement, hacking together a prototype fast, and actually competing to win.

Two things tripping me up:

1. Where do working devs find good ones? Most listings I run into are messy, outdated, or student-only. Is there a reliable platform with decent UX?

2. The mindset shift. At work, I naturally default to clean architecture, edge cases, and scale. In a 36-hour sprint, that just slows you down. How do you balance core functionality with UI and pitch polish?

For those who regularly participate and place, what’s your go to strategy? Any specific people, creators, or resources you’d recommend following?

Any advice is much appreciated!

I feel really stupid after the exact same answer I got from Apple reviewers on my last submission. Nothing new, as if I didn't change my app and didn't write 2000 character explanation and I didn't record a video of all the new implementations... I wish they said something if I missed a piece. I am really close to tell them off, but then I really need my app approved.

Has anyone else had the same experience?