I would like you tell about the person in the company who’s been in there the longest.

1. Their motivation
2. Went from which position to where.
3. Was it worth it?

I’ll start,

I directly report to principal engineer. He joined my org as intern, worked for 12-13 years. The entire teams foundation is made by him. We are following his development standards, any new project, we shall consult him. No wonder he does not want to leave, as he has a lot of weight in the company. Being said that, he’s also extremely busy person, we need to schedule a call 2-3 days down the line, even then it might it reschedule.

I’m supporting a team of ~20 AI engineers and researchers working primarily in Python (FastAPI, PyTorch). Our infrastructure runs across on-prem servers and AWS.

We have 100+ repositories and face severe template drift, inconsistent CI/CD workflows, and zero centralized visibility into what services are deployed where, whether they are healthy, or if they should be decommissioned.

What I need to build:

1. A tool to generate new microservices and safely parse, validate, and update configs/CI workflows across dozens of active repositories without causing breaks.

2. backend service that continuously polls and ingests data from: AWS apis, GitHub apis and some external services.

Given that my end users and downstream developers are Python-focused, is building this platform tooling and state aggregator daemon in Haskell a good idea? Convince me why I shouldn’t go with Go, Rust or Python.

I would love to hear from anyone who has used Haskell for similar infrastructure tooling.

Hello all,

Can we have any meet-ups in a cafe or some open space? Come with your laptop, we can build something and later discuss about it.

Place could be near Baner or Pimple Saudagar

Any thoughts?

Hello devs,

It’s been six months since I joined the new company, it’s a large scale product based MNC.

Our team is divided into multiple squads and my role is defined as a “shared resource” among different squads.

I’m helping out with 4 projects at a time. Each project is in a different phase of life cycle. One in active development, one in initial phase. One in UAT etc. despite them in different phases. There’s effort I need to put in for each project. In retrospect, each project is quite simple, if it were one project at a time, it would’ve been to good to be true. But since I have to make progress in each one; everything gets dragged.

Just want to know, are you guys in the similar situation? How would you deal with this stress?

Hello Haskellers!

I'm excited to share the MVP release of PGQueuer-hs, a PostgreSQL-powered job queue. If you want robust background workers without adding external dependencies like Redis or RabbitMQ to your stack, this might be for you.

Key Features

• Postgres Native: It leverages PostgreSQL's native LISTEN/NOTIFY channels. Your existing database is fast enough!
• Seamless Interop: It is 100% compatible with the Python pgqueuer library. You can safely enqueue jobs from Python into your Haskell worker and vice versa.

Background & Roadmap

I use the Python version of pgqueuer at work and think it's brilliant, so I decided to bring the same ecosystem to Haskell.

This is currently an early MVP release and the API might shift. The underlying database logic is currently backed by postgresql-simple. In the future, I plan to build out an adapter pattern to support other popular Haskell Postgres libraries.

I would love to hear your thoughts, feedback, or any suggestions you have for the roadmap!

Links

• GitHub: https://github.com/tusharad/pgqueuer-hs
• Hackage: https://hackage.haskell.org/package/pgqueuer-hs

Hey everyone,

My team is currently looking to bring on a Lead AI Engineer. If you wish to work in the AI space and have a solid track record of building and deploying scalable applications, dm ur resume.

\*\*The Details:\*\*
\*\*Role:\*\* Lead AI Engineer
\*\*Experience:\*\* 5+ years building scalable applications
\*\*Location:\*\* Remote within India

If this sounds like a good fit, you can apply directly through the link below. You're also welcome to DM me here. if you have any questions about the role or the team!

\*\*Apply here:\*\* \[https://www.linkedin.com/jobs/view/4431668180/\\\](https://www.linkedin.com/jobs/view/4431668180/)

Hey everyone,

My team is currently looking to bring on a Lead AI Engineer. If you wish to work in the AI space and have a solid track record of building and deploying scalable applications, dm ur resume.

\*\*The Details:\*\*
\*\*Role:\*\* Lead AI Engineer
\*\*Experience:\*\* 5+ years building scalable applications
\*\*Location:\*\* Remote within India

If this sounds like a good fit, you can apply directly through the link below. You're also welcome to DM me here. if you have any questions about the role or the team!

\*\*Apply here:\*\* https://www.linkedin.com/jobs/view/4431668180/

Hey everyone,

My team is currently looking to bring on a Lead AI Engineer. If you wish to work in the AI space and have a solid track record of building and deploying scalable applications, dm ur resume.

**The Details:**
**Role:** Lead AI Engineer
**Experience:** 5+ years building scalable applications
**Location:** Remote within India

If this sounds like a good fit, you can apply directly through the link below. You're also welcome to DM me here. if you have any questions about the role or the team!

**Apply here:** [https://www.linkedin.com/jobs/view/4431668180/\](https://www.linkedin.com/jobs/view/4431668180/)

Hey everyone,

My team is currently looking to bring on a Lead AI Engineer. If you wish to work in the AI space and have a solid track record of building and deploying scalable applications, dm ur resume.

**The Details:**
**Role:** Lead AI Engineer
**Experience:** 5+ years building scalable applications
**Location:** Remote within India

If this sounds like a good fit, you can apply directly through the link below. You're also welcome to DM me here. if you have any questions about the role or the team!

**Apply here:** https://www.linkedin.com/jobs/view/4431668180/

Edit: if you are a 2026 graduate from CS or similar and looking for Software Engineer AI - Intern role. Dm me your resume

I’m a Senior MLOps Engineer at an MNC. We recently decided to hire an intern for an AI Engineer role as part of our early career program. Going through this process made me realize just how broken the hiring reality is on both sides of the table.

Management's expectations were genuinely low: we just wanted someone with a basic understanding of foundational CS concepts and a proactive attitude. However, the initial screening criteria was strict: you had to have a CS degree, an 8+ CGPA, and be a 2026 graduate.

We posted the position on LinkedIn. Here is what happened.

Issue 1: The Spam Application Epidemic

Within 24 hours, the recruiters had to close the job posting due to an enormous volume of applicants. This might sound like a good thing, but it was a nightmare.

The vast majority of applicants were completely ineligible for the role. Because of the sheer volume of spam applications, the genuinely good candidates were lost in the pile. Worse, because we had to close the post so quickly, highly qualified students who found the job a day later couldn't even apply.

**Takeaway for freshers:** Please read the JD carefully and decide if you actually match the criteria. Blindly applying to every open role breaks the system for everyone.

Issue 2: The Black Box of Recruiter Filtering
The recruiter eventually emailed me the shortlisted candidates. I was shocked to see a list of exactly 10 profiles.

I’m not entirely sure on what basis the recruiter shortlisted these specific people out of the hundreds who applied. They either just picked the first 10 resumes they saw or used a severely flawed AI filter. Either way, none of the candidates were good. Because we needed to fill the position urgently and I had limited bandwidth, I was forced to pick a few from this list to interview while asking the recruiter to dig up more profiles.

Issue 3: Zero Fundamentals and Blatant Cheating

When I actually got these candidates into an interview, the reality was bleak.

**Buzzword Bingo:** I started by asking about the projects and internships listed on their resumes. Most candidates threw around fancy buzzwords and framework names. But the moment I asked about the actual use-case or dug deeper into *why* they used a framework, they froze. They had a prepared script, but couldn't answer basic questions about their own work. It was obvious the projects were either built by AI or copy-pasted from GitHub.

**Failing Basic Logic:** In the coding round, I asked the easiest question I could think of: *Find the second largest number in an array*. I wouldn't even consider this a real DSA question. To my surprise, most couldn't answer it. Some had clearly memorized a solution, typed it out blindly, forgot an edge case, and couldn't move forward.

I could clearly tell some candidates were straight-up cheating during the interview. If you need to cheat to find the second largest number, we have a problem.

The most surprising candidate claimed prior internship experience and multiple projects, yet couldn't write a single line of working Python. Their basic function calls were syntactically wrong. I told him he could switch to absolutely any programming language he was comfortable in, but he insisted on Python.

The Reality Check
To the students who are frustrated about not getting jobs: a massive portion of the applicant pool fundamentally lacks core CS knowledge, does not understand their own resume projects, and cannot solve beginner-level logic problems.

There are definitely major issues with finding the right candidate due to the overwhelming number of spam applicants completely breaking the HR screening process. But if you actually know your fundamentals, understand the code you write, and only apply to roles you are genuinely suited for, you are already miles ahead of the competition.

I’m open to refer right candidate for a QA position in my company. Location would be in Mumbai. DM me with your resume.

I will be taking interview (1st technical round) of freshers for Software Engineer role.

If you are someone you have done this, what sort of questions you ask, and what parameters to do you use for evaluation?

Today I was installing docker on my new machine, I went to official site of docker to install it.
After seeing the page. I immediately decided to look for an alternative.
Docker is becoming everything other than being a containerisation tool. Entirety enterprised, I couldn’t even find the fucking documentation page for it.
We are probably days away from it being paid only.
It’s such a good and important software. Sad to see it being commodities to oblivion.
I’m gonna install podman and try to use it in my day to day work. If things goes well, I might tell about this in my company as well

Edit: seems like lot of people don’t understand the difference between docker engine and docker desktop :)

Machine: MacBook Air M5, 16GB, 8 Core GPU.
I bought it for coding but I wish to run local models for POC and testing with some coding agents.

What’s the best model I can run specially for coding that i can on this machine. Also which tools (e.g ollama) would be best in this case.

I’ll prefer the model to be faster rather than being more accurate. Though recommend me both types as well.

It sucks, my perfectly working 15 is getting ruined. Worst thing is, these updates happens automatically

Company is sponsoring. Even outside of India would also be possible if cost is within budget. Preferably somewhere in October/November

Company is sponsoring certification/training/course. Anything related to FP that I can do?