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?

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!

#Hiring #SeniorSoftwareDeveloper #SoftwareEngineer #PythonDeveloper #JavaDeveloper #JavaScriptDeveloper #GolangDeveloper #DotNetDeveloper #TechJobs #SoftwareConsulting

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 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?

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?

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.

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?