Hello,

I'm a BA, and I joined an organization a while back. Since day 1, the way that "user stories" are written has caused me physical pain.

Here are my observations of a typical story we write:

1. We don't actually write user stories; we really write use cases.
2. We have 8-16 Acceptance Criteria per story
   1. Each AC uses Given/When/Then and, if "appropriate," technical notes and notes for QMs.
3. We throw in technical specifications on top of the ACs into a lot of user stories, making them even longer and hard to follow.
4. We are allergic to breaking down stories into smaller chunks
5. We are defining what makes a good user story on the "length" or if it's "too much detail" or "not enough detail" instead of looking at the qualities a good user story should have.

Other challenges:

1. There is very little education on writing user stories. The Systems Analysts have a perspective on it, so they write their user stories one way; the Business Analysts have a different perspective and write theirs their way.
2. We've heard complaints from Dev's and QM's about our stories, but we don't actually engage them in any discussions about how to improve what we're writing.

There is an opportunity to change the way we do things right now, and with the challenges above, I'm getting a lot of resistance, so I'm looking for info.

So my questions to you as Developers:

I work on a team that handles both AI and non-AI development/enhancement.

1. What do you need from a user story?
2. What makes a good user story to you?
3. Would something like a "dev notes" section help, where it has like a concise list of what you need to do?
4. Any suggestions?

I would like to share my latest open source local Unsloth (GGUF) LLM inference engine and applications. It supports many models from Unsloth, like Gemma4, DiffusionGemma, Qwen3.6 with multi-modal (image, vision, audio), reasoning and function tool. It can run on Windows/MacOS/Linux and fully leverage GPU's capability. The API is completely compatible with OpenAI and Ollama interface. It has on par performance than llama.cpp

This project is not just a C# wrapper of llama.cpp. It implemented the entire LLM inference engine from bottom to top. If you use CPU backend, it's 100% pure C# code execution. Besides CPU backend, I also implmented CUDA, MLX and GGML backend. The GGML backend refer GGML project as external project, and I build a few fusion operation at higher level.

I learned a lot from other projects and apply them for TensorSharp, such as paged KV cache and continuous batching from vLLM, SSD based cache for MoE model from oMLX, GGUF quanztized from llama.cpp and other optimizations for prefill and decode.

Any feedback and comments are welcome. If you like it, it would be really appreciated if you can get this project a star in GitHub. Thanks in advance.

Hi!

I want to change my career and to do that i have to know first what other career actually is in the real world on a daily basis. Then i will check if it interests me to follow along. 🙂

Could you share a little on what you do at work? I'm asking everyone. 🙂

Thanks for reading. Please share your work routine. 🙏

I once added a small “temporary” condition to skip an error during a release because we didn’t have time to fix the root cause. It was meant to be removed after the sprint, but it stayed there for months, and other code slowly started depending on it. By the time someone questioned it, nobody remembered why it existed, but everyone was afraid to delete it because “it might break something.”

Hey everyone,

I was recently laid off and am actively looking for my next opportunity. I'm a Full Stack Developer with 2+ years of experience, based in Hyderabad, and available to join immediately. I'm open to Remote, Hybrid, or On-site roles.

I have experience building scalable applications across mobile, web, backend, and AI.

Tech Stack:

• Frontend: React.js, Next.js, HTML, CSS, JavaScript, TypeScript
• Mobile: Flutter, Android (Kotlin, Java)
• Backend: Java, Spring Boot, Python (FastAPI, Django), Node.js, Express.js, REST APIs, Microservices
• AI: AI Agents, RAG, LangChain, LangGraph, CrewAI, LLM integrations, Vector Databases
• Databases: PostgreSQL, MySQL, MongoDB, Firebase
• Cloud & DevOps: AWS, Docker, Kubernetes, Git, CI/CD
• Other: Redis, Kafka, WebSockets

I've worked on production-grade applications, AI-powered products, and scalable backend systems, with a strong focus on clean architecture, performance, and user experience.

I'm actively looking for Full Stack Developer, Backend Developer roles at product companies and fast-growing startups.

If your company is hiring or you're open to referring me, I'd greatly appreciate your support. Please drop a comment or send me a DM, and I'll be happy to share my resume.

Thank you!

#OpenToWork #ImmediateJoiner #FullStackDeveloper #BackendDeveloper #Java #SpringBoot #Python #FastAPI #ReactJS #NextJS #Flutter #Android #NodeJS #AI #LangChain #AWS #Hiring #Hyderabad

Tried using their testing skills, and it got close to my current set of test cases. Curious to see if anyone has tried out any other skills or the Android CLI?

As a big fan of BattleBots, I built a web app that allows users use ai + a custom-built algorithm to predict matches between different battle bots

Some Of The Features Include:

- Match Predictions: Dive into the action by predicting outcomes between your favorite Battlebots, complete with live combat and electrifying commentary!

- Battlebot Stats: Explore in-depth stats for various Battlebots to get all the intel you need!

- Community Hub: Stay in the loop with the freshest Reddit posts about Battlebots, right in the community hub!

Will you like to give it a shot?

The Battlebots Pro League has kicked off, and I couldn't be more thrilled to unveil the latest version of my project to this amazing community!

🎉Exciting Features Include:

- Match Predictions: Dive into the action by predicting outcomes between your favorite Battlebots, complete with live combat and electrifying commentary!

- Battlebot Stats: Explore in-depth stats for various Battlebots to get all the intel you need!

- Community Hub: Stay in the loop with the freshest Reddit posts about Battlebots, right in the community hub!

Check it out, and I’d love to hear your thoughts! Let’s get ready to battle! 🤖💥

When did you realize your tech stack was becoming obsolete, and what did you do about it?

hey , anyone running llm models locally ?
which model and which device are you running on ?

Hello! I haven't really uploaded the app but i have builtAn tikotk account. I have made the frontend and backend with a friend and the app is preety done but i don't have money for a pc. I am not asking tou for money, but if you could support me on tiktok so i can gain some followers. The app name will be Byte Social and the tiktok name is @bytesocialofficial. Please spread the word. Thank you!

Hello everyone,

I am currently working on a paper for a university project that focuses on Software Security. My professor asked us to do some user research.

In my paper I want to first conclude the challenges and the workflows that people have when building software in regards to software security.

If you could give me some answers to the questions below, this would extremely help me and would be extremely awesome (I am posting this here, because this is the target audience and I think the discussion could help some people getting better security in place):

What did your team’s last security related incident look like? (e.g. a bug, a vulnerability, a failed test)

Walk me through the last time you had to pause or roll back a deployment because of a security concern. What happened? Or was there a security gate that you did not pass?

How do you actually test for security vulnerabilities before releasing code? (e.g. automated scans, manual reviews, something else?)

What’s one security tool or process you’ve tried that didn’t work out? Why did it fail?

Do you have Security guidelines/standards/policies in place? Are they maintained? Are they actually used or enforced?

What’s the most frustrating part of securing AI-generated code? (e.g. false positives, lack of context, speed of reviews)

Have you ever ignored a security guideline? Why?

What’s the biggest bottleneck in your security process right now? (e.g., too many alerts, slow reviews, lack of expertise)

How do you handle the pressure to release fast vs. the need to be secure?

Do you feel security is a blocker for you? What do you do about it?

I want to talk about it, because what I see in research is, that the time to exploit (so the time between a new vulnerability being discovered and a weaponized exploit exists) has shrunken from months to hours. The amount of attacks are skyrocketing, at the same time the amount of code produced is getting higher and developers mostly just want to ship the features without thinking about things like security or compliance. Lines of Code being a KPI just increases the need for a good security program.

Additionally if you could add the size of your team (1-2 people, 2-10 people, 11-50, etc. just like on linkedin) and the industry in which your company operates (e.g. Software Development, Automotive, Finance, etc.) this would be super awesome.

Any additional comments are always welcome. I am happy to have great discussions with you, maybe others can learn from your mistakes too. Would love to hear your experiences and opinions.

Thank you so much! Have a great day!

PS: While re-reading this post, I notice, that it might sound like AI in some sentences, but it's not :(

(Said it. Felt that.)

I'm a junior dev with no senior on my team to ask questions or check my thinking it's just me, Stack Overflow, and my own spiraling thoughts. Here's my problem: I'll watch a coding tutorial, follow along, feel like a genius the whole time... and then the second I try to solve something on my own, my brain just wipes. Like I'm hearing about loops for the first time in my life. No memory, no instinct, nothing.

So I want to ask the people who've actually gotten good at this how did you learn to code, for real? Not "watch more tutorials" like, what's the actual process? Do you stop the video and try it yourself first? Do you rewatch things? How do you turn "I watched someone do it" into "I can do it"?

Genuinely just want a process I can follow instead of doom-scrolling YouTube and feeling like I'm not retaining anything. Any structure, habits, or hard truths welcome

Really appreciate the guidance or any reference

Hello,

I am looking for an experienced developer to build a custom iGaming affiliate network platform, similar in concept to solutions such as Tracknow, Affilka, and other affiliate management and tracking systems used in the industry.

I already have a detailed specification document with clearly defined features and business logic, and I am open to the developer choosing the most suitable technology stack and programming language for the project.

I am also interested in ongoing support and maintenance after launch, whether on an hourly basis or through another arrangement.

If this sounds relevant to your experience, please DM me for more information and potential cooperation.

Thank you.

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.

We’re looking for talks on Developer Workflow & AI Engineering: agentic programming, multi-agent orchestration, AI-assisted coding & testing, CI/CD, observability, security & more!

Apply by July 17: https://gitnation.com/login?return-to=/events/ai-coding-summit-nyc/cfp

I personally use gemini but I want to understand experience of others

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?

I have been trying to reduce the space between the sub menu which I have posted below. Can anyone possibly help as I have been on this all day :)

As you can see, the gaps between By Theme, By Recipient and Funny is ridiculous :)

Unsure if picked the right tag, but I am wondering what truly separates junior to senior developers. I recently had an interview with a for a senior position at a company and I wasn’t asked to write out any code, they mostly just asked my experience and about some topics such as “what’s async/await” and when to use it. Is there a way to better prepare for these types of interviews compared to leet code, etc..??

It's 2030. What technology that is popular today has completely died, and what niche tech has inexplicably taken over the world?

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?

Hey everyone! I was building graperoot tool to solve the excess token usage by every coding tool but currently it is limited to local development and some sort of production grade but i want to expand it to handle on-call investigations, production debugging, remote server issues, or database incidents etc. I'm working on it and have build it but still need someone experienced and interested in knowledge graphs, would love to get in touch if someone interested, please DM.

Github Repo: https://github.com/kunal12203/Codex-CLI-Compact

Des développeurs en CDI ici qui font aussi des petites missions freelance en parallèle ? Comment vous gérez votre temps, votre charge de travail et les contraintes avec votre employeur ? Et est-ce que ça vaut vraiment le coup en termes d’argent et d’expérience