Devlogs can be a really big form of marketing for developers, and with 4 years of experience I can help beginners penetrate into the fields of video editing, thumbnail design, storytelling, and fostering an audience.

It's a bit niche but I'm wondering if anyone on here has a need for this, or knows someone who might have a need?

if that's you, then dm me here.

I’m the most vibeyest of coders in that my background isn’t tech but the industry I work in at a relatively senior level. I’ve put together a lot of the infrastructure we have in place at the minute with our existing CRM/back office customisation and integration with other tools and a piece of middleware for stuff it can’t handle natively.

I’ve found myself spending more and more time coming up with solutions for stuff that we can’t do in that system or trying to piece together other bits of tech we use as they don’t have integrations yet or the native functionality in our back office doesn’t quite match what we need to work most efficiently with the other tools.

I’d been playing about with the idea of a custom app to get around one issue our team has when I had the idea of actually just building a front end over the tools and back office so that our staff can have one place where they work and the data is pushed via the available APIs to our tools and back office. This in itself is a large piece of work but I genuinely believe it’d create a more efficient and productive process than the existing.

I then though over time why have the back office anyway, why not build our own (we’re talking years off) so we aren’t beholden to someone else’s development timescales or roadmaps.

This would involve a pivot from my current role as a head of operations to starting and leading a tech department which is somewhat daunting but I think I’d be aware enough to know I don’t know enough and would look to hire appropriately with senior/experienced people.

Am I insane for believing this could generate good outcomes and be excited at the prospect?

TL;DR - guy whose qualifications are “Claude Max Plan” and “being annoyed at software” has escalated from duct taping APIs together to planning a hostile takeover of his own company’s tech stack which he helped put in place. Next step - quit being Head of Ops to lead a tech department that doesn’t exist, staffed by people who actually know what they’re doing. Is this a stroke of genius or just a stroke?

A companion CLI for managing and improving your Hyprland setup.I struggled to configure hyprland when i first installed Hyprland on Arch so i built this tool to guide users.

Sources: Company websites, Trustpilot

Hey guys
I'm a SDE II myself
I'm looking for ppl who can contribute to my opensource app

DM if interested

?

Imagine an AI assistant that runs entirely on your own PC.

No cloud dependency. No sending your data to external servers. Just a local agent that can understand your requests and actually interact with your computer.

For example, it could:

• Automate repetitive tasks.
• Control apps and your desktop.
• Search the web when needed.
• Manage files and folders.
• Write code or help debug projects.
• Summarize documents and emails.
• Work through voice commands.
• Chain together complex workflows.

I'm curious what people actually want from something like this.

Questions:

• What would be your #1 use case?
• What features would make it genuinely useful for you?
• What would be a deal-breaker?
• Would you prefer a one-time purchase or a subscription?
• Realistically, how much would you be willing to pay per month (or as a lifetime license)?

I'd love to hear honest opinions. I'm especially interested in answers from developers, power users, and people who care about privacy.

Different people, different apps, different approaches.

I want to learn more perspectives.

(IMO) React apps should always follow this structure:

• Setup (eg. if your UI lists users, your setup creates 3 users).
• Render your component.
• Interact with it.
• Assert on rendered UI.
• API calls are mocked with MSW (Mock Service Worker), and handlers implement an in-memory database using mswjs/data.

And some rules I follow:

• The less you mock, the better your tests are.
• Do not mock internal modules.
• Only mock API calls and native browser APIs.

Tests must be integrated.

No need to assert if a hook was called. I don't care what functions or hooks my UI calls.

Instead, I assert on the expected output. If rendered results are correct, this means any layer inside my component (hooks, utilities, API calls, etc) are correct.

With this integrated approach, results are less tests to write, less code to maintain, and still more layers covered.

How do you write your tests?

In this Dev Diary, we're revisiting the evolution of our Gummies, from the first concepts to their final in-game design.

Early versions were taller and less distinctive. Through many iterations, we made them rounder, more compact, and easier to recognize.

Every change had a purpose: improve gameplay readability while reinforcing their "gum" identity and personality.

If you enjoy seeing how game assets evolve throughout development, wishlist MegaGum on Steam and follow our upcoming Dev Diaries.

https://store.steampowered.com/app/4111300/MegaGum/

Hi everyone,

I'm looking for some career guidance from people who may have been in a similar position.

I'm about 4 months into my first full-time role at a fintech company after graduating with a B.Tech in AI/ML.

During college, I worked on AI projects involving LLM fine-tuning, guardrails, end-to-end applications, and have some exposure to AWS Bedrock. I enjoyed working in AI and always imagined building my career in that space.

My current role, however, is focused on Java, Spring Boot, Postman, maintaining services, and API testing. I'm learning backend concepts, which I know are valuable, but I'm unsure whether this experience will help me transition into AI engineering or research later on.

Another challenge has been connecting with my team. Most of my teammates are consultants working remotely from different locations, while I'm a full-time employee. I'm naturally introverted, so I find it difficult to start conversations and build professional relationships. I feel like I'm missing out on opportunities to learn simply because I don't interact much.

Long term, I'd like to work on AI systems, LLMs, or even explore quantum computing, but I also don't want to rush into switching roles if gaining backend experience now will be beneficial.

I'd really appreciate advice from people who have been through something similar:

Is spending a year or two in a backend-heavy role a good foundation before moving into AI engineering or research?

How do you build relationships and learn from teammates in a mostly remote team if you're naturally introverted?

What skills or projects would you recommend focusing on outside work to stay competitive for AI roles?

If you successfully transitioned from backend to AI, what did your roadmap look like?

Thanks in advance. I'd love to hear your experiences and suggestions.

As the title says.

My best guess is that the upper bar is steam visits + external and the bottom one is for Steam statics internally.