u/Tricky_School_4613

When we run AI agents the main agents tend to spin multiple sub agents and they communicate and submit report to main agent the similar analogy thought of following for humanoid Robot. Like a main robot can disintegrate into multiple parts according to the task this independent part would be scoped for some specialized task itself only and coordinate with the main robotic body. Like I had seen too many startup around the humanoid robot and but what was eye catching some building specifically the hands and making it the best so thinking in similar pattern rather than another humanoid thing but whole tech of integration and disintegration what would be the opinion possible places and things I should begin learning with?

So I wanted to understand on how different products are being passing on checks of different categories and inspection. Has most of the things are automated or its still most of the manual intervention.

Spoke with my friends working in some manufacturing claiming that most of the process has been manual only as of now so wanted to know on wider perspective is it same across all the different industries and is their any bottlenecks to the process and things can be made much less worrisome.

I've got a few MCP servers, some custom agents, and random tools from GitHub. Every time I add something new, there's a different config format, auth setup, or way of exposing capabilities.

Feels like I'm spending more time connecting things together than actually building.

How are you all managing this? Do you have a workflow or tool that makes it easier, or is everyone just manually wiring everything?

Genuinely curious if this is a common pain point or if I'm overcomplicating things.

I've got a few MCP servers, some custom agents, and random tools from GitHub. Every time I add something new, there's a different config format, auth setup, or way of exposing capabilities.

Feels like I'm spending more time connecting things together than actually building.

How are you all managing this? Do you have a workflow or tool that makes it easier, or is everyone just manually wiring everything?

Genuinely curious if this is a common pain point or if I'm overcomplicating things.

I've got a few MCP servers, some custom agents, and random tools from GitHub. Every time I add something new, there's a different config format, auth setup, or way of exposing capabilities.

Feels like I'm spending more time connecting things together than actually building.

How are you all managing this? Do you have a workflow or tool that makes it easier, or is everyone just manually wiring everything?

Genuinely curious if this is a common pain point or if I'm overcomplicating things.

I've got a few MCP servers, some custom agents, and random tools from GitHub. Every time I add something new, there's a different config format, auth setup, or way of exposing capabilities.

Feels like I'm spending more time connecting things together than actually building.

How are you all managing this? Do you have a workflow or tool that makes it easier, or is everyone just manually wiring everything?

Genuinely curious if this is a common pain point or if I'm overcomplicating things.

I've got a few MCP servers, some custom agents, and random tools from GitHub. Every time I add something new, there's a different config format, auth setup, or way of exposing capabilities.

Feels like I'm spending more time connecting things together than actually building.

How are you all managing this? Do you have a workflow or tool that makes it easier, or is everyone just manually wiring everything?

Genuinely curious if this is a common pain point or if I'm overcomplicating things.

I've got a few MCP servers, some custom agents, and random tools from GitHub. Every time I add something new, there's a different config format, auth setup, or way of exposing capabilities.

Feels like I'm spending more time connecting things together than actually building.

How are you all managing this? Do you have a workflow or tool that makes it easier, or is everyone just manually wiring everything?

Genuinely curious if this is a common pain point or if I'm overcomplicating things.

I've got a few MCP servers, some custom agents, and random tools from GitHub. Every time I add something new, there's a different config format, auth setup, or way of exposing capabilities.

Feels like I'm spending more time connecting things together than actually building.

How are you all managing this? Do you have a workflow or tool that makes it easier, or is everyone just manually wiring everything?

Genuinely curious if this is a common pain point or if I'm overcomplicating things.

I've got a few MCP servers, some custom agents, and random tools from GitHub. Every time I add something new, there's a different config format, auth setup, or way of exposing capabilities.

Feels like I'm spending more time connecting things together than actually building.

How are you all managing this? Do you have a workflow or tool that makes it easier, or is everyone just manually wiring everything?

Genuinely curious if this is a common pain point or if I'm overcomplicating things.

I've got a few MCP servers, some custom agents, and random tools from GitHub. Every time I add something new, there's a different config format, auth setup, or way of exposing capabilities.

Feels like I'm spending more time connecting things together than actually building.

How are you all managing this? Do you have a workflow or tool that makes it easier, or is everyone just manually wiring everything?

Genuinely curious if this is a common pain point or if I'm overcomplicating things.

I've got a few MCP servers, some custom agents, and random tools from GitHub. Every time I add something new, there's a different config format, auth setup, or way of exposing capabilities.

Feels like I'm spending more time connecting things together than actually building.

How are you all managing this? Do you have a workflow or tool that makes it easier, or is everyone just manually wiring everything?

Genuinely curious if this is a common pain point or if I'm overcomplicating things.

I've got a few MCP servers, some custom agents, and random tools from GitHub. Every time I add something new, there's a different config format, auth setup, or way of exposing capabilities.

Feels like I'm spending more time connecting things together than actually building.

How are you all managing this? Do you have a workflow or tool that makes it easier, or is everyone just manually wiring everything?

Genuinely curious if this is a common pain point or if I'm overcomplicating things.

I've got a few MCP servers, some custom agents, and random tools from GitHub. Every time I add something new, there's a different config format, auth setup, or way of exposing capabilities.

Feels like I'm spending more time connecting things together than actually building.

How are you all managing this? Do you have a workflow or tool that makes it easier, or is everyone just manually wiring everything?

Genuinely curious if this is a common pain point or if I'm overcomplicating things.

Hi everyone,

I'm a 2025 graduate currently looking for full-time opportunities in Software Engineering, Backend Engineering, or AI Engineering.

A brief overview of my background:

- 4 internships across Software Engineering and AI Engineering

- 2 internships of 6 months each

- 1 internship of 2 months

- 1 ongoing internship (3+ months)

- Experience building AI agents, RAG systems, conversational AI, backend APIs, and automation workflows

- Strong backend development skills with Python, Java, SQL, PostgreSQL, Flask, and REST APIs

- Hands-on experience with LangChain, LangGraph, Pinecone, Gemini, vector databases, Docker, Kubernetes, PySpark, and dbt

Competitive Programming:

- Knight on LeetCode

- Solved 1500+ problems across coding platforms

- Participated in 100+ contests across LeetCode, Codeforces, CodeChef, and AtCoder

I'm particularly interested in roles involving backend systems, distributed systems, AI infrastructure, LLM applications, agentic workflows, and scalable software development.

If your company is hiring or you know of relevant opportunities, I'd greatly appreciate any referrals, leads, or advice. Thank you!

Hi everyone,

I'm a 2025 graduate currently looking for full-time opportunities in Software Engineering, Backend Engineering, or AI Engineering.

A brief overview of my background:

- 4 internships across Software Engineering and AI Engineering

- 2 internships of 6 months each

- 1 internship of 2 months

- 1 ongoing internship (3+ months)

- Experience building AI agents, RAG systems, conversational AI, backend APIs, and automation workflows

- Strong backend development skills with Python, Java, SQL, PostgreSQL, Flask, and REST APIs

- Hands-on experience with LangChain, LangGraph, Pinecone, Gemini, vector databases, Docker, Kubernetes, PySpark, and dbt

Competitive Programming:

- Knight on LeetCode

- Solved 1500+ problems across coding platforms

- Participated in 100+ contests across LeetCode, Codeforces, CodeChef, and AtCoder

I'm particularly interested in roles involving backend systems, distributed systems, AI infrastructure, LLM applications, agentic workflows, and scalable software development.

If your company is hiring or you know of relevant opportunities, I'd greatly appreciate any referrals, leads, or advice. Thank you!

Hi everyone,

I'm a 2025 graduate currently looking for full-time opportunities in Software Engineering, Backend Engineering, or AI Engineering.

A brief overview of my background:

- 4 internships across Software Engineering and AI Engineering

- 2 internships of 6 months each

- 1 internship of 2 months

- 1 ongoing internship (3+ months)

- Experience building AI agents, RAG systems, conversational AI, backend APIs, and automation workflows

- Strong backend development skills with Python, Java, SQL, PostgreSQL, Flask, and REST APIs

- Hands-on experience with LangChain, LangGraph, Pinecone, Gemini, vector databases, Docker, Kubernetes, PySpark, and dbt

Competitive Programming:

- Knight on LeetCode

- Solved 1500+ problems across coding platforms

- Participated in 100+ contests across LeetCode, Codeforces, CodeChef, and AtCoder

I'm particularly interested in roles involving backend systems, distributed systems, AI infrastructure, LLM applications, agentic workflows, and scalable software development.

If your company is hiring or you know of relevant opportunities, I'd greatly appreciate any referrals, leads, or advice. Thank you!

All the big tech giants have started to go IPO alongside most of the deals are done through special purpose vehicle keeping the risk off the balancesheet. Japan and Korea index rallied just because of AI demand. Alphabet recent 80B sell of stock is too unprecedented. Microsoft tightening the belt and oracle CDS at all time high.

All tech layoffs as seems AI investment has been made and damages have started to make cracks. Everyone is rallying but this gotta anytime soon.

Oracle's 5-year CDS jumped to ~139 bps recently. Not a disaster, but it's a reminder that the bond market isn't fully buying the AI growth story.

Microsoft has paused some data center leases and canceled projects. When hyperscalers start tapping the brakes, it's worth paying attention.

VCs poured $270B into AI in 2025, but deal count fell to its lowest level since 2020. More money, fewer companies. That's concentration, not broad ecosystem growth.

What worries me most is the circular nature of the AI economy:

• Cloud providers buy NVIDIA GPUs and report AI growth

• AI startups rent those GPUs using VC money and report ARR

• VCs raise larger funds and report AUM growth

Everyone's showing growth. The question is: who's paying sustainable prices at the end of the chain?

Meanwhile, private credit exposure to SaaS and AI keeps growing, data center projects are being delayed, and power constraints are becoming real bottlenecks.

NVIDIA is still printing cash, but at current valuations the market seems to be pricing in near-perfect execution. Any slowdown in spending could matter.

Maybe AI lives up to the hype. Maybe it doesn't. I just think the risks aren't getting as much attention as the upside.

Not financial advice. Just sharing my thoughts.

This was some kind of new interview experience for me. One panelist had called up 3 people at a time so we thought it to be a group discussion, now here comes the twist.

Firstly we were asked about ourself and were told to rate ourself. Then the first question came was of graph shortest path while explaining all possible scenarios I was interrupted and the next person was told to explain bellman ford.

Later on we were told to write code for bellman ford and after completing we were cross questioning each other. Then we had MST, prism, kruskal, DSU questions and some pseudo code of them.

We were writing code and having debate on our written code and approaches more like correcting one other. Later we were also told to write time and space complexity of each sorting algorithm then again debate why this algo should have this complexity and not this.

We also had some couple of questions on OS in similar manner alongside we too had the DBMS wherein we were told to write the 4-5 queries wrote all perfect.

Some other panelist also were taking one to one interview it was purely based on which panel you are getting assigned too. Our group discussion lastest like 2 hrs but one to one interview lasted like 30-40 min sometimes even less than that depending.

I want to know whether anyone had multiple rounds because online experience says some had multiple rounds some not and by when can I expect results?

I had given on 25th may.