I’m building a repository intelligence tool and want to understand where it could be genuinely useful before developing it further.

Currently, it analyses public Python repositories on GitHub, creates snapshots at specific commits, compares code structure and relationships, highlights changes such as removed APIs, and generates an evidence-linked report.

It doesn’t automatically fix bugs or certify that a release is safe.

I’m interested in situations where understanding a repository becomes difficult or time-consuming—whether you’re maintaining it, reviewing changes, taking over someone else’s code, or investigating a failure.

A few questions for developers and engineering leads:

• What’s a recent task where you spent too long figuring out how a codebase worked or what changed?
• How did you investigate it, and where did your existing tools fall short?
• What specific output would have helped you make a decision or finish faster?
• Is this a recurring problem or something you face only during migrations, incidents, or handovers?

I’m considering use cases such as release comparisons, onboarding, change-impact analysis, and regression investigation, but I don’t want to assume those are the right priorities.

Concrete examples would be especially helpful. And if Git, your IDE, or existing tools already handle this well enough, I’d like to hear that too.

​

I've been wanting to extend my phone's second screen via USB for a while now, but I can't find any easy or fast apps, and AI makes it very complicated.

I'm using Linux Mint xfce.

Hardware:

6gb of ram

Intel i5 2nd gen

No dedicated GPU

Development is getting more toxic then ever. 2-2.5 years ago we were using claude and ai while laughing at its capabilities, now i think karma is hitting us, the working environment is getting worse over time, companies want shipment and stressfully shipment these days, while there is no time for reviewing code, refactoring code because it is not scalable for the future, using the brain muscle only for a critical issues. Bro no one is even understanding how he wrote the code and it is getting worse with every model anthropic or openAi drops. Everything is seen as the tokens you use.There is no room for critical thinking and real problem solving, bussiness people are getting crazy with ai and then expect it finished in 2 days, remembering intern days we were meant to think to debug to take days for a small ticket, now a 100+ prs are getting merged in one project in a couple of days.And the thing that started to be really alerting is that agentic ai's are getting better and most times with right prompts they are not leaving a real concerning technical debt. We all know that ai will not take our place a 100% but it is effecting the market, environment everything by 200%. If anyone loves programming for solving problems and critical thinking now is facing a hard time being comfortable and happy with his job.
What is your opinion guys?

I'm a software developer working at a bank, and I feel like we're way behind when it comes to AI adoption.

Every time AI comes up, the conversation is mostly around security, compliance, data privacy, etc. I understand these are important, especially in banking, but it feels like we're moving extremely slowly.

For example, our bank deployed a GPT model through Azure AI Foundry and built an internal ChatGPT-like interface for employees. That's pretty much the extent of AI adoption I've seen so far.

Meanwhile, I keep seeing people talk about using Claude Code, Cursor, AI agents, and building AI-powered features using LLM APIs.

I'm curious how things work at other companies.

• Are you actually building AI-powered features using APIs from OpenAI, Anthropic, etc.?

• How does your company approach new AI initiatives? Do developers get to experiment and propose ideas, or does everything have to go through multiple approval processes?

• How are you handling security and compliance concerns when integrating AI into existing applications?

• Are companies actually using AI agents and automation in production, or is most of it still experimentation?

I'm especially interested in hearing from developers working at banks, fintech companies, or other large enterprises.

I want to understand what real-world AI adoption looks like beyond just building an internal ChatGPT wrapper.

How is your company approaching this? Are you seeing meaningful AI adoption, or is it mostly hype and internal chatbots?

I’m asking because the API marketplace now describes two very different models, and most comparison posts ignore the distinction.

Model 1: the marketplace - third‑party providers list their APIs; you browse and subscribe. RapidAPI is the classic example, and APILayer and Zyla Labs also operate here. The selection is huge, but each API is its own product with separate pricing, quotas, and quality standards.

Model 2: the catalog, a smaller set of services accessed under a single subscription and a single key. You get fewer choices, but only one bill and one integration pattern.

Where each model shines

• Need something niche, such as a specific sports‑data feed? Marketplace.
• Need a boring utility layer that every product ends up requiring (file conversion, validation, OCR, geolocation)? Catalog saves you from managing dozens of separate plans.
• Shipping agents? Fewer keys and a single billing ceiling matter more than you might think.

I’m a co‑founder at ApyHub, which uses the catalog model, so take my framing with that in mind.

Genuinely curious

• Which marketplaces are you using right now?
• Has anyone left a marketplace, and why?
• Do you care more about selection or about having a single bill?

I’ve been thinking about something lately.
AI assistants are getting incredibly capable, but I feel like there’s still a fundamental problem with how they remember us.
Sometimes I want AI to remember things about me — my preferences, past experiences, important decisions, or ongoing projects — so I don’t have to explain everything again.
But at the same time, the idea of an AI building an increasingly detailed profile of my life is a little unsettling.
**What if AI memory worked differently?**
Imagine having a personal memory system where:
You decide what AI is allowed to remember.
You can see, edit, or delete individual memories.
Different AI assistants can access only the information you explicitly allow.
Sensitive memories stay private unless you choose otherwise.
Essentially, AI that gets to know you over time, without giving up control of your personal information.
I know some AI assistants already have memory features, but I’m curious whether people actually trust them.
**A few genuine questions:**
Do you actually want AI to remember more about you, or does that feel invasive?
Have you ever been frustrated because an AI forgot something important from a previous conversation?
Would having full control over AI memory change how comfortable you feel using it?
Or is this solving a problem that most people don’t really care about?
I’m exploring this as a potential side project, but I’m genuinely unsure whether there’s a real need.
I’d especially love to hear skeptical opinions.

Our finance lead got a voicemail that sounded exactly like our CFO, asking her to push a vendor payment before end of day. She called him back and he never left it. Now IT is asking me how to detect AI generated voice on voicemails and inbound calls and all I have is "listen for weird pauses", which clearly isn't going to hold up. Is anyone running something on the audio itself, or is it all callback procedures?

So, I am working on a project for which I am currently using a free api key.
And now I am thinking of deploying it as an extension on chrome, but the major problem is, do I keep my key and let the users use it, or ask them to BYOK. But doing so will raise concern when a new user see a newly added extension asking them to enter their own API key.
This reduces the trust instantly.
Can anyone suggest what can I do in this situation?

Good morning everyone,

Having finished my internship, I was offered a position to stay at the company as a Junior AI Engineer. I’m making this post because I’ve been with the company for 2-3 months now, and my actual workload is very light. So far, I’ve been assigned tasks like building a simple PDF-based RAG/AI assistant and doing some basic QA testing, but that’s pretty much it.

Over the last few weeks, I’ve been spending most of my working hours without any assigned tasks. I’m using this time for self-study, but I feel like I’m not really growing or developing within the company.

Has anyone else experienced something like this at the start of their career? How did you handle it, and what’s the best way to approach my Senior / Lead to ask for more responsibility or tasks?

We've run into a situation where a backend schema update goes live, and suddenly we see a spike in 4xx errors across older mobile app versions and external client webhooks that are still sending legacy payloads.

Traditional APM tools tell us that requests are failing with 400s, but they don't give us a clean way to map those errors back to specific OpenAPI revisions or consumer SDK versions without digging through raw logs.

How are teams currently tracking and debugging contract drift in production? Are you writing custom internal scripts, or is there a tool I'm missing?

HIRING SOFTWARE DEVELOPERS

📢 WE’RE HIRING: SENIOR SOFTWARE DEVELOPERS!💻🚀

Our software consulting firm is looking for highly experienced Senior Software Developers with at least 10 years of professional development experience to join our growing team!

🔍 Required Skills & Qualifications

✅ Minimum of 10 years of professional software development experience
✅ Strong proficiency in one or more of the following programming languages and technologies:

* Python

* Java

* JavaScript

* Go (Golang)

* C# / .NET

✅ Fluent in English, both written and spoken
✅ Strong problem-solving, analytical, and communication skills
✅ Ability to work independently and collaborate with clients and development teams
✅ Experience designing, developing, debugging, and maintaining software applications
✅ Professionalism and the ability to communicate technical concepts clearly to clients

SALARY RANGE IS.
$1500-$2000 BASED ON PROJECT & EXPERIENCE

LOCATION: UNITED STATES, INDIA, IRAN
💼 About the Role

As part of our software consulting firm, you may work on diverse client projects, develop software solutions, collaborate with technical teams, and help businesses solve complex technology challenges.

📩 Interested in applying?

Send your updated resume, portfolio, and a brief introduction highlighting your experience and technical expertise via DM or email.

Please include your preferred programming language and years of experience.

We’re looking for experienced professionals who are passionate about technology and delivering excellent solutions!

📌 Know someone who might be a great fit? Tag them or share this post!

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I was laid off back in May, and since then I've been applying without success for developer positions. I know the market's been rough, but I have a nagging feeling that this may no longer be a viable career.

My Professional Experience

• I have used Java and MySQL throughout my career.
• My previous position had an outdated, highly niche tech stack (health insurance). Testing was performed, but test suites were absent (I begged the leadership to get that set up the entire time I was there).
• About 4-5 years experience total, so I'm in the awkward middle ground between junior and mid.
• Backend work primarily, but I've dabbled with full-stack before.

What I'm Good At/Comfortable With

• Java & OOP in general
• SQL: Worked with both MySQL and PostgreSQL. One gap to fill is stored procedures.
• REST APIs: Not a lot of professional experience, but I am very familiar with CRUD operations, and know how to set them up in

What I've Been Working On Building

• Spring Boot experience: Feel like I've made a lot of headway over the past five months. Hoping to complete a project and post it by the end of the month.
• AWS: Slow progress here.

Gaps I'm Aware I Have

• Test Suites: Hoping to fix this with a project I'm building. I've worked with JUnit before, just not in a professional setting. Still trying to figure out how to make it with a database connection
• Docker/Kubernetes: Worked with it, still don't think it makes a lick of sense.
• Kafka: Played with it, but no real opportunity to apply it or a project where I could actually use it.
• Cloud: No professional experience. I am currently studying AWS, and plan to take the AWS Certified Developer Associate exam next month. Admittedly, not very confident, but I'll see it through.
• NoSQL: Is MongoDB a good one to start with?
• CI/CD Tools

Attitude Towards AI

• I recognize AI's utility in generating prototypes, dummy data for testing, and basic debugging.
• I try to avoid using AI to write code unless I feel I have the foundation necessary to understand the output. I refuse to lower myself to vibe coding.
• As for AI as a coding tool in general, I am...wary, to say the least: a lot of websites seem to be getting worse by the day.

For anyone who's been laid off and found work, or people who've kept their jobs, what has worked for you? What things do I need to adjust in my skill development, and what things am I doing right?

got an offer from a small US startup. CTC is good, fully remote, employment in india would be through an EOR.

when I asked about benefits they said they'll provide a "standard India benefits package".

which sounded fine until I realized I have no idea what I should actually be checking😭

PF etc is one thing.

I'm more confused about the stuff that actually varies between companies:

health insurance only for me or spouse/kids too?
can parents be added?
term life?
how much leave?
WFH allowance?
anything else people genuinely use?

one EOR I was reading about, Asanify, at least explicitly talks about group health/ family cover, term life and other benefits administration instead of just writing "competitive benefits" and moving on.

but I'm 24 and single so I can also see myself choosing ₹1L more salary over half these things today and regretting it later lol.

for people who've worked at startups/MNCs, what are the 2-3 benefits you'd actually check before joining?

not free snacks/gym-discount type stuff. actual useful ones.

I was lucky to get a few gigs a while back, but online everything has dried up. Kinda feeling hopeless tbh. Things not going up to standard these days so any tips would be helpful. Anyway best of luck to everyone looking for gigs these days.

Hey everyone!

I'm a CSE student graduating in 2027, currently preparing for software engineering and full-stack developer roles.

Recently, I received feedback in a Nokia interview that my projects could be more creative and stand out more. So, I'm looking for ideas for full-stack projects that go beyond the usual task managers, e-commerce apps, and basic CRUD applications.

I'd love to know:

\\- What full-stack projects have you built that helped you stand out in interviews?

\\- What are some unique, practical project ideas that recruiters and interviewers find interesting?

\\- What features or technical aspects make a full-stack project impressive? For example, authentication, real-time updates, caching, system design, or handling complex workflows.

\\- For freshers, is it better to build one polished, production-ready project or multiple smaller projects?

\\- If you're preparing for full-stack roles in 2026, what tech stack are you using, and what would you recommend?

I'm looking for projects that solve real problems, have meaningful features, and give me something interesting to discuss during interviews — not just another tutorial-based project.

I'd really appreciate suggestions from people who have built full-stack projects or recently interviewed for full-stack developer roles.

Thanks!

Hey everyone!

I'm 17 years old and getting close to finishing high school. I've already gained a good amount of experience through software development internships, freelance projects, and programming tutoring.

I've been programming for a while now and have worked with quite a few different technologies.

Here's a quick overview of what I know:

• Languages: Python, JavaScript, SQL, C#, HTML, CSS
• Frontend: React, Tailwind CSS
• Backend: Django, Python
• Other: Unity, Git, GitHub

I'm pretty comfortable building projects and learning new technologies, but I'm trying to figure out what I should focus on to make myself a stronger candidate for my first entry-level software developer job.

I know the job market is competitive, especially for junior developers, so I want to make sure I'm spending my time learning skills that employers actually look for. I also understand AI is very invasive but I am using many AI tools (codex, claude, gpt, curosr, copilot, grok, groq, etc) to speed up development. I mainly use it for debugging, learning new concepts, or boiler plate but i do understand 100% of my code and I love learning more about tech.

For those of you already working in the industry, what technologies or frameworks would you recommend someone in my position focus on? Are there any major gaps in my current stack? Should I go deeper into what I already know or branch out into things like TypeScript, Node.js, Java, .NET, or cloud technologies?

I'd really appreciate any advice, especially from people who have recently landed their first developer job or have experience hiring junior developers.

Thanks!

Recently I had convo with the medium scale buisness owner about automating their works with multiple departments so they need some ERP application. Usually these kind of buisness depend on small scale or medium scale IT companies to build softwares and manage their data. But after AI era they concern about the data is handled by single vendor is like threat. So that person paid claude and developed an application with his domain knowledge. Literally he don't need an support from any It company he chose tech stack and build the application. For fine tuning little bit he came to me for help. Then I was wondered about the software industry change after AI. I never get panic before about the AI in the day to day life. But it is biggest down fall for the small scale IT companies who develop solutions for the regional customers. There is a question in my mind what will be the future of small companies who sell softwares for regional buisness. How It companies stands out with this faster development with AI (claude, codex, gemini) how to propsose a customer that AI alone not solves your problem but also how software engineers provide value.

I’m looking to kick off my freelancing journey as a DevOps Engineer and wanted to ask for advice from those of you who’ve been in this space.

My skill set includes working with AWS (certified Solutions Architect Associate), Terraform, Docker, Kubernetes, CI/CD pipelines, Jenkins/GitHub Actions, and automation with Bash/Python. I’d like to use these to find freelance opportunities, whether short-term gigs or long-term clients.

What platforms would you recommend as the best starting point for DevOps freelancers?

I have tried Upwork and I spent around 100 connects on proposals and heard nothing back even if the gigs they want are fairly easy.

Any niche platforms focused on DevOps or cloud engineering?

Hey guys,

I'm a 20yo programmer and student, currently working both as an employee and a freelancer.

I have a MacBook Air M2 (that I didn't buy, but thank god I got my hands on it) and a desktop PC I built 2 years ago:

Desktop:

- Z790 motherboard

- Intel i7 14700K

- 32GB DDR5 RAM

- RTX 4060

MacBook Air M2:

- 8GB RAM

- 256GB storage

My desktop is a beast workhorse. It handles any kind of work like it's going for a walk in the park.

But here's the problem: as I started my professional career, I realized that being able to take my work everywhere is a huge plus for me. Even though I love my PC, the MacBook gives me that, and I honestly prefer macOS.

Right now I try to work on both, and every time I switch devices I end up manually moving files around. Code is on Git, but everything else (documents, project files, footage) lives on one machine or the other, so the continuity I get from the Apple ecosystem disappears.

By "work" I mean: coding, video editing (DaVinci Resolve), Photoshop, Lightroom, and sometimes music production. A lot of it needs to happen on the go because of business trips, but not always, so going MacBook-only isn't necessarily the answer.

If you've run a setup like this long-term, which one actually stuck?

Honest opinions welcome

Devs are getting fired over AI, it’s cheaper they say. But if companies are pushing for AI so much, can you as developers copy their product, let a bunch of AIs run it and make those companies obsolete. Or start developing Board of Directors and CEO AI software to replace the entire upper management. Isn’t this possible, or at least a similar scenario? I’m not a developer and I don’t know how this works, but from what I’ve seen with AI, you can get a swarm of tamagotchis and ask them to do this, I guess.

I'm an "old-school" developer and I still write code at work and on my personal projects, however I started using AI such as chat-gpt and gemini (on their website only) for debugging, resolving blockers, asking stuff and etc. Basically a google on steroid and it definitely replaced stack-overflow and reddit.

I'm curious to know how other devs are using AI, do you still write code? what tools do you use for faster development? what an experienced "old-school" developer should learn or adopt to?

Do you still believe that the future of software development is being able to read and understand code? cause AI is just getting so much better everyday, to the point that transitioning from a software developer to a software architect might not even be a viable solution/future.

Hey everyone!

I'm a student developer from India, currently working on improving my full-stack development skills and preparing myself for software engineering internships and entry-level jobs.

I have experience with TypeScript, JavaScript, React, Next.js, Node.js, and building applications with AI/LLMs. Instead of building another basic CRUD app or following tutorials, I want to work on something that solves a genuine real-world problem.

My goals are to:

• Become a better software engineer and build projects that demonstrate real problem-solving skills.
• Understand what problems professionals and small businesses actually face in their daily work.
• Build a useful project that I can showcase in my portfolio and discuss in interviews.
• Eventually turn a solution into a small business if people find it valuable.

I'd really appreciate advice from software engineers, hiring managers, freelancers, founders, and business owners.

A few questions I'd love your perspective on:

1. As someone hiring junior developers, what skills or projects would make you take a fresher's application seriously?
2. What frustrating, repetitive task do you deal with at work that existing software doesn't solve well?
3. Are there any real-world problems you think a junior developer could realistically solve with a small but well-built application?
4. What mistakes do you commonly see in junior developers' portfolios?
5. If you were starting your software engineering career today, what would you focus on first?

I'm not trying to sell anything. I want to learn from people with real industry experience, improve my engineering skills, and build something genuinely useful.

Even a small piece of advice or an example from your own experience would mean a lot. Thank you!

Salut à tous,

Je suis étudiant à Epitech en échange à l'Université Laval à Québec et je dois réaliser une courte entrevue écrite pour valider un cours de gestion.

Critère obligatoire du prof : un poste non-cadre / technicien / dev / sysadmin (pas de gestion d'équipe ni pouvoir d'embauche).

L'entrevue comporte 10 questions courtes (missions, salaire, conditions, routine). Tout se fait par écrit/MP.

Si quelqu'un a 5 minutes pour me dépanner, envoyez-moi un message privé ! Merci d'avance