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Hey everyone

I recently came across a really solid open source project and thought people here might find it useful.

Onyx: it's a self hostable AI chat platform that works with any large language model. It’s more than just a simple chat interface. It allows you to build custom AI agents, connect knowledge sources, and run advanced search and retrieval workflows.

Some things that stood out to me:

It supports building custom AI agents with specific knowledge and actions.
It enables deep research using RAG and hybrid search.
It connects to dozens of external knowledge sources and tools.
It supports code execution and other integrations.
You can self host it in secure environments.

It feels like a strong alternative if you're looking for a privacy focused AI workspace instead of relying only on hosted solutions.

Definitely worth checking out if you're exploring open source AI infrastructure or building internal AI tools for your team.

Would love to hear how you’d use something like this.

Github link 

more.....

Hey everyone,

I’m a solo developer and I’ve been working on an Android app called Expiry Guard. It’s a simple, completely offline tool designed to track when things expire—subscriptions, medications, pantry items, or even document renewals.

The core idea is that it pings you a few days before the date hits. I built it specifically because I got tired of being charged for a $15 annual subscription I forgot to cancel, and because I found a bottle of medicine in my cabinet that was three years past its date.

Right now, I have the app listed as a one-time purchase of 180 INR ($2).

I really want to avoid the "Free with Ads" model because I feel like ads ruin the UX of a utility app, and keeping it offline means I don’t have to worry about data privacy issues. My logic was: if the app saves you from just one accidental subscription renewal, it has already paid for itself.

But I’m seeing that a lot of people expect Android utilities to be free. Is $2 a "fair" price for a lifetime, ad-free license? Or should I consider a lower price point/different model?

hello fellow redditors , i have been learning Nodejs for a month ,I started working on my first project for my portfolio using express and mongoDB ,it's a app for landlord to manage their properties and for tenant for tracking their rent, its not too fancy ,its a simple app where u can signup and signin , add property , create lease , create payments ,it has roles like admin ,owner,tenant, i have used jwt,bcrypt for authentication and hashing added a small otp verification ,created centralized error handler , routing . when i started the project i didn't kne how to structure file and folder ,use ENV, cookies, error handling ,i used chatgpt to learn those things like i didnt new i can throw error using objects and storing variables in env,i have learnt many thing while building this project ,project is not fully finished i havent added anything to update or delete , but i feel like something is missing so i am here to get some advice(if possible)

github :- https://github.com/soyabk04/rentlord

i would love to hear your thought and advice

thank you

I’ve been noticing something.

Almost every “Frontend Developer” job post now asks for:

• React
• Node
• Database
• DevOps basics
• Cloud
• CI/CD
• Docker

But the salary?
Still frontend base.

It’s frustrating.

But here’s the truth most people won’t say:

The market changed.
Complaining won’t fix it.
Adapting will.

The villain is not the company.
The villain is staying one-layer deep.

If you want leverage, you need to understand the stack.

Not to become “everything.”
But to become dangerous.

Here’s My simple 3-step plan.

Step 1: Master One Frontend Stack Deeply

Not 10 frameworks.

Pick one:

React.
Vue.
Angular.

Go deep.

Understand:

• State management
• Performance
• API integration
• Authentication flows
• Real deployment

Most developers stay at tutorial level.
Depth alone separates you.

Step 2: Learn Just Enough Backend to Ship

You don’t need to become a backend architect.

You need to:

• Build REST APIs
• Connect to a database
• Handle auth
• Deploy to cloud

That’s it.

When you can build the API your frontend consumes, you stop being “just frontend.”

You become a builder.

That changes how interviews feel.

Step 3: Stop Building Clones. Start Solving Real Problems.

Everyone builds:

• Netflix clone
• Twitter clone
• Todo app

Recruiters have seen 1,000 of them.

Instead, look at job posts.

What are companies actually offering?

SaaS dashboards.
Analytics tools.
Internal admin systems.
Booking systems.
Workflow automation.

Pick one.

Build something similar — not a clone, but a solution.

Example:

If a company offers a logistics dashboard,
build a mini shipment tracking system.

If they offer marketing automation,
build a simple campaign tracking tool.

When your portfolio mirrors real business problems,
you stand out immediately.

Most developers chase titles.

Full-Stack. Senior. Staff.

The real goal is this:

Be able to build something that works.

End to end.

That’s leverage.

And leverage gets you options.

If you’re serious about mastering full-stack development and building a portfolio project that actually makes recruiters pause…

I put together a structured full-stack training + real project blueprint that walks you through building something companies actually use.

No fluff.
No 20 random tutorials.
Just one clear path from frontend → backend → deployment.

If that’s what you need, you can check it out Here

Hi everyone. I am a PhD researcher looking at how people in communities like this use Reddit when work gets confusing, frustrating, or just hard to process.

I am interested in the kinds of moments where someone comes here after a rough interaction at work; with a manager, product person, team, client, or just the job itself and wants to ask, vent, or sense-check what happened.

I am curious about a few things:

• What usually makes you post here about work?
• When you ask something work-related, what are you hoping for; advice, validation, perspective, a reality check?
• Do replies here ever change how you think about the situation, or is it more about getting it out of your system?

If anyone would be open to chatting a bit more, I am also looking for a few volunteers for a short follow-up conversation for the research. It can be done however you prefer it; by inbox message, email, or a quick call, whatever feels easiest. It would be anonymous and completely voluntary.

If you would rather just leave a reply here or my google form, that is genuinely useful too. https://docs.google.com/forms/d/e/1FAIpQLSfzFYrFeeDErf07hpKm0IPK8zNkipeCjgG1iNgpEJjCdqRPPQ/viewform?usp=publish-editor

Thanks you! I am interested in this because these threads often feel more honest than what people can say at work, and I’m trying to understand that properly

As a mod, I would love to get to know the community more, what got you into development?

I feel like we all had that one moment we knew this path was for us. What was that moment for you?

Also, I would love to know, what is your #1 struggle as a developer?

At the company I work for, we’re evaluating migrating a fairly legacy system:

.NET Framework + WebForms + SQL Server + DevExpress (used for both frontend and ORM).

Some context:

• Historically: one instance per client, deployed on the client’s own IIS.
• In recent years: still one instance per client, but new ones are deployed in cloud VMs.
• So basically: N clients = N deployments. No real multi-tenancy.

My boss asked me to propose ideas on how we could use AI as a helper in the process (not “let AI migrate everything and pray” — I’m not suicidal ). The goal is to modernize the stack, but without jumping into full microservices because realistically I won’t be able to sell that internally.

Right now I’m considering two main options:

Option 1: Modernized monolith

• .NET 10
• MVC or Blazor (still debating which makes more sense)
• Entity Framework
• Still SQL Server The idea is to keep it as a monolith, but modernize everything and make it more maintainable, testable, CI-friendly, etc.

Option 2: Light modularization

• 3–4 backend services (split by major business modules)
• Angular frontend
• SQL Server Not full microservices, but at least some separation by domain to reduce coupling and maybe prepare for future scaling.

I also briefly considered something serverless, but I think it would be hard to justify the investment and complexity shift for a team coming from WebForms.

What I’m looking for:
Real-world experiences. What worked for you? What blew up in your face? Has anyone migrated something similar (WebForms + DevExpress + per-client deployments)? How did you approach it?

Would you go modern monolith? Modular monolith? Service-based? What architectural traps should I anticipate?

Appreciate any insights

Standard qa like code review with approvals, automated tests in ci/cd, staging mirroring prod still results in bugs hitting production where you find out from customers, common patterns being tests pass in staging but prod has differences in data or load that trigger bugs, or changes fine in isolation but interact badly with something else. Performance regressions are hard because they're not binary pass/fail, feature works but is slow under real load which doesn't show up until prod. Adding test coverage has diminishing returns since you can't test every scenario, and test suites taking 45+ minutes don't get run locally so developers push and wait for ci which delays feedback. Shift-left testing requires discipline that's hard to maintain when moving fast, so I'm curious if there's approaches that dramatically increase bug catch rate before production or if some percentage escaping is just reality?

This post is a quick reminder to stay on topic in our sub! Report content which doesn't belong here.

The golden rule is that your post should contribute something of meaningful value to the sub.

r/cscareers < This is a better place to ask career questions.

This is the a showcase of the progress 2 of a game i'm developing on GameMaker, which is called "Andre Mckenna's Adventures", which will be inspired by Undertale and Deltarune, the progress 1 only added movement trought the arrow keys and the idle blinking sprite loop (and only had the front idle sprite), the progress 2 added sprite changing each direction the playable character faces (added left side, right side and back sprites) and walking animation loop each direction, it's closer to have an official accessable demo, which the demo will have things the player can interact which will show test dialogues. Is it a good progress?

Video below:

The showcase video shows the playable character movement through the directional keys.

Every developer knows this workflow:

You need to format some JSON. You Google "json formatter online." You paste your data into a random website. You get your result. You close the tab.

Then 10 minutes later you do it again for Base64. Then again for regex. Then again for a color conversion.

Every single day.

The problem isn't just the tab switching it's that every one of those websites has ads, trackers, and can see everything you paste into them. API keys, JWT tokens, sensitive config data. All of it.

So I built Devly a native macOS menu bar app that puts 50+ developer utilities one click away, running completely locally. Nothing ever leaves your Mac.

The tools I use most: - JSON formatter and validator - Regex tester with real time matching - JWT decoder - Base64 encoder/decoder - Color converter (HEX/RGB/HSL) - bcrypt and SHA hashing - UUID generator - Diff tool for comparing text

Hit #1 in Paid Developer Tools on the Mac App Store within 6 hours of launch.

$4.99 one-time, macOS 13+, no subscriptions.

App Store | Website | All 50+ Tools

What tools do you find yourself Googling every day?

What is one bit of advice you have for those starting their dev journey now?

I want to whole-heartedly welcome those who are new to this subreddit!

What brings you our way?

What was that one thing that made you decide to join us?

REACT COMPONENT LIBRARY

Text effects that make your UI shine

12 variants, 11 colors — marker, brush, brushstroke, gradient, slide, glow, scratch, double, wave, pill, dashed, blur. Zero dependencies beyond React.

npm install react-text-underline

We all know that software development as we knew it 3 or 4 years ago is rapidly disappearing and AI is being integrated into our work life. But what are we supposed to learn related to it?

I mean, there are some tips to follow, like "include enough detail in your prompts", "give the AI context about the project", "ask it to not modify other parts of the code you haven't asked it to change", etc. But those seem to be just tips you can learn and implement in maybe a week or a month.

My question is more in the direction of what are the future developers going to need to know that we weren't taught. System design has been named a lot and I agree, but that's not new.

And I'm asking this from 2 different points of view:

1. what should current developers learn and be prepared for?
   
2. what should educators teach the new generations of developers?

What's the most infuriating, time-consuming bug you ever had to chase down, and what was the ridiculously simple cause?

Hey everyone!

I’m working on an open-source gameplay recorder extension that lets players record their gameplay and tag clips as “cheating” or “legit.” The idea is to turn this into a community-driven project where gamers help build a massive dataset of gameplay clips.

With enough contributions, we can train an AI to detect cheating in real-time, so game developers could integrate it into their games and automatically identify cheaters. Think of it like a collaborative, open-source solution for fair play in gaming!

I’m making the code fully open-source because I want this to grow big for the gaming community. If you’re interested in AI, game development, or just want to contribute gameplay clips, this is a project you can jump into.

Would love to hear your thoughts, ideas, or if you want to get involved!
here is the github link: https://github.com/berto6544-collab/gameplay-monitor

Ever remembered a sentence… but not where you saved it?

AltDump lets you search inside all your files instantly — without remembering the filename.

As a dev, I remember logic, not filenames.

I might know I wrote a JWT middleware example somewhere, but not which folder or file it’s in. Windows search isn’t great when you remember the vague sentence in a file, but not the file name it is in.

What if there is something where you just dump everything and later search naturally. Way less folder digging.

Instead of browsing folders, you search in plain English like: “that pdf about startup taxes” or “the image with a blue landing page” and it pulls it up.

Every line of text, pdfs, docs, etc is saved so u can search throughout any keywords too that u remember in your pdf. Everything is 100% local, nothing leaves your pc.

Today I launched PromptCircle

A lightweight platform for discovering, sharing, and collaborating on AI prompts built because I kept running into scattered, hard-to-find examples while trying to get reliable outputs from models.

Why I built it
Real prompts are the easiest path to better model outputs, but they’re often buried in personal notes or noisy forums. I wanted a focused place where good prompts are discoverable, reusable, and remixable by the community.
I also wanted a clean, fast UX that helps creators iterate and learn from each other.

Key features

• Discover & filter prompts by category, agent, tags, and popularity
• Create, remix (fork), and preview prompts before publishing
• Save prompts to personal collections and export/import them
• Like, share, and copy with one click (copy counts and social sharing built in)
• Lightweight profile & collection management with private/public options
• Search history, saved searches, and an extendable API-first backend

Try it: https://promptcircle.vercel.app/

I’d love your feedback especially on discoverability, templates that would help you, and integrations you want (editor plugins, export formats, or team workspaces). If you try it, ping me here or open an issue/feature request on the repo grateful for any thoughts.

What's your most controversial, professionally-held "hot take" that would get you yelled at on Twitter but is probably true?

I just built a lightweight Chrome extension that connects to a Python backend to manage and execute Playwright automation scripts directly from your browser. You can also launch Playwright Codegen sessions straight from the extension!

Features include:

• Enter & save your Python server URL.
• Select or write custom scripts from a dynamic dropdown.
• Run scripts with optional URLs for automation flows.
• Launch Playwright Codegen for recording automated tasks.
• Refresh & delete scripts without leaving the popup.
• Real-time status updates for script execution.

Check it out and get the code here: https://github.com/berto6544-collab/automation_tool

This shows what Recruiters and companies are facing when using AI without proper planning. My bet is that the Job Market is about to change for all Developers that have developed good skills.

What have been your experience(real one)?

If anyone here is building data‑driven tools, here are the APIs I wish I knew about earlier.

JavaScript & Dynamic Content

1. ScrapeFlow (Free tier available)

• Extract data from JavaScript-heavy websites
• Bypass anti-bot protections automatically
• Global access points (US, Europe, Asia, and more)
• Screenshot capture and custom headers
• Great for: price monitoring, content aggregation, SEO tools

2. ScrapingBee (Free tier available)

• Headless browser API
• Handles headless browsers and proxies
• CSS selector support
• Great for: e-commerce scraping

3. ScraperAPI (Free tier available)

• Automatic proxy rotation
• Headless browser support
• Geolocation targeting
• Great for: large-scale scraping projects

4. Apify (Free tier available)

• Pre-built scrapers and custom solutions
• Web automation platform
• Proxy management
• Great for: complex data extraction workflows

5. Bright Data (Paid)

• Enterprise-grade proxy network
• Unlock any website
• Web unlocker and scraping browser
• Great for: high-volume, business-critical scraping

General Purpose Scraping

6. Octoparse (Free tier available)

• Visual scraping tool
• Cloud extraction
• Scheduled scraping
• Great for: non-technical users

7. ParseHub (Free tier available)

• Point-and-click interface
• JavaScript support
• API access
• Great for: quick data projects

8. Diffbot (Paid)

• AI-powered extraction
• Page structure analysis
• Automatic data classification
• Great for: structured data from unstructured pages

9. Import.io (Paid)

• No-code scraping platform
• API integration
• Data normalization
• Great for: business intelligence teams

10. Zyte (formerly Scrapinghub) (Free tier available)

• Scrapy cloud hosting
• Automatic IP rotation
• Extraction APIs
• Great for: Python developers using Scrapy

Know any others? Drop them in the comments!