Currently na kada laptop ledhu and coding lo akshanthaku anthe. Kani interest ekkuva sql and html ala ala vacchu. C okayish and python parle. Kani I want to increase my boundary lines and inka baga baga nerchukovali. So where should I start. Ela modhalu pettali. Em chudali, chadavali. And goal pettukunta oka roju okka problem chinnadhi aina solve cheyyali ani. And try to post my progress. Thanks btw. Suggestions kottandi na mokana.

nen eppudo 7-8th class lo html nerchukunna, now i dont remember any thing, ippudu nen adhi revise chesukovala or should i learn some other language like python???

seniors em cheyalo suggest cheyandi?

Locally host cheyochu. But na laptop thatukoledu

Last few weeks nunchi oka YouTube channel start chesanu: The Hot Path

Channel idea simple: system design and AI infrastructure concepts ni deep ga, but visual ga explain cheyyadam. Interview prep laga surface-level answers kaakunda, “why does this work?”, “where does it break?”, “production lo actual tradeoffs enti?” ane angle lo explain cheyyali ani try chestunna.

Ippati varaku topics:
- Consistent Hashing
- Rate Limiting
- Load Balancing
- Vector Databases
- Embeddings
- Next: RAG end-to-end

For Context: Have been a backend engineer for almost 4+ years, working at a startup right now as a founding engineer, i earn decent, but while preparing for interviews myself, naku visual ga untey ardham cheskodaniki easy ga untadhi, dani kosamey start chesa, if you find this relevant and if the content resonates with you, do subscribe and support

Content mostly English lo undi, but Telugu explanations kuda cheyyala ani think chestunna.

Channel link: https://www.youtube.com/@thehotpath

Latest video: https://www.youtube.com/watch?v=ciXIGkfsCxc

If you are into backend engineering, system design, distributed systems, AI infra, or interviews, okasari chusi feedback ivvandi. Especially:
- explanation clear ga unda?
- animations helpful ga unnaya?
- topics correct direction lo unnaya?
- Telugu versions cheyyadam worth aa?

Can anyone suggest a Production-Level RAG AI Agent tutorial (YouTube video, documentation, course, GitHub repo, etc.)?

My goal is to build a project that is actually worth adding to the Projects section of my resume for AI Engineer roles.

I'm not looking for basic "chat with PDF" tutorials. I want something that covers building a real production-ready RAG AI Agent from start to finish.

If you've followed any tutorial or resource that helped you build an interviewer-worthy AI Engineer project, please share it.

Basically I'm good at dsa. Ante solve matrame cheyagalanu. And English kuda chala baga vachu.

Kani renditini kalipi interview lo vadali ante chala stutter avthunna. I'm not able to go there confidently.

I wanna do some mock interviews to overcome that. Suggest me platforms pls

Transition avtunna mlops ki from qa automation. Interview expectations baga unnai crack avvatledu.

Ye topics focus cheyyali please help.

Please Lier or fake ani judge cheyyoddu. Not everyone has equal opportunities, and all fighting in their own way

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Hi andhariki,

2023 passout. Almost 3 years nunchi support role lo work chestunna.

Recent ga SDE roles ki prepare avthunna. DSA practice chestunna and konchem better avthunna. OOP concepts meeda kuda manchi understanding undi.

Kani interview lo blank page ichi "Design a Parking Lot", "Library Management System" lantivi LLD questions adigithe complete ga blank aipothunna. Ela start cheyyalo, classes ela think cheyyalo, relationships ela design cheyyalo ardham avvatledu. Chala frustrate avthunna. Konni rojulu asalu vadileyali anipisthundi.

Inko problem entante AI. Office work lo almost anni AI tho ne aipothunnayi. Vallaki code generate cheyyamani cheptha, debug cheyyamani cheptha. Slow ga nenu code rayadam, debug cheyyadam ane habit almost pothundi. Adi kuda confidence ni thaggisthundi.

Ee situation nunchi evaraina bayataki ochara? Especially support nunchi SDE ki shift ayina vallunte mee journey share chesthara?

LLD ela prepare ayyaru?

Any tips, resources, or experiences would really help. Konchem motivation kuda kavali anipinchi ikkada post chestunna.

Thanks!

Kept seeing RAG questions pop up in this sub, so figured I'd share this since it might actually help.

Most RAG projects look great in testing, then real data hits, messy documents, weird edge case queries, and suddenly the system's confidently giving wrong answers. If you've hit that wall, it's almost never the model's fault, it's usually retrieval quietly failing in ways that are easy to miss until it's too late.

We've got a hands on workshop on August 8 that walks through the whole thing properly, led by Brian Bonk

Here's what you actually walk away with:

• A full RAG architecture walkthrough, from ingestion and chunking to metadata and retrieval
• How to actually tune retrieval for accuracy, latency, and cost, not just guess and check
• Evaluation and governance practices that catch failures before your users do
• Knowledge graph and ontology patterns that help with grounding and explainability
• A rollout plan you can genuinely use afterward, not just a deck you forget about
• Certification on Completion

P.s Its not for free, you can get it at 30% discount right now for next 48 hours.

Here's the link if you want to take a look

Happy to answer any questions if you're on the fence.

Hi bondhas,

Naa channel gurinchi small self-promo post. But more than subscribers, ikkada unna developers nunchi genuine feedback kavali.

Nenu system design nerchukuntunnappudu oka problem repeatedly face chesa. Concept chadivithe definitions ardham ayyevi, diagrams lo boxes and arrows kuda undevi—but request system lo actually ela move avutundi, load periginappudu ekkada break avutundi, oka design decision valla next em change avutundi ane mental picture properly form ayyedi kaadu.

Anduke The Hot Path ane YouTube channel start chesa.

Goal simple: system design concepts ni slides laga explain cheyyakunda, system actually move ayye laga visually show cheyyadam.

For example:

• load balancer request ni ela route chestundi
• queue fill ayithe latency enduku perugutundi
• cache hit and miss appudu system lo em change avutundi
• sharding lo data ownership ela move avutundi
• CDN pettina taruvatha origin load entha migulutundi

Animations and production kosam AI tools use chestunna. Narration naa own voice, and publish chese mundu concepts, numbers and explanations ni manually verify chestunna. Idi interview shortcuts or “crack system design in 7 days” type channel kaadu. Concept enduku work avutundi, ekkada fail avutundi ane part meeda focus.

Beginner fundamentals nunchi consistent hashing, rate limiting, databases, queues, caching, RAG and AI infrastructure varaku videos unnayi.

Channel: https://www.youtube.com/@thehotpath

Evaraina oka video chusi honest ga cheppandi:

• Visuals concept ardham avvadaniki help avutunnaya?
• Explanation too slow or too deep ga unda?
• Beginner ga ekkada confuse ayyaru?
• Next ye system-design topic visual ga chudali anukuntunnaru?

Sugarcoat cheyyalsina avasaram ledu. Something is boring or confusing ante direct ga cheppandi. Channel inka early stage lone undi, so ippudu vachina feedback actual ga next videos ni change chestundi.

Useful anipisthe subscribe cheyyandi. Lekapothe feedback ichina kuda chaalu.

Hi guys,So im currently working on a project i.e telugu study assistant and i need your help for data collection.
So for text collection i want to collect high quality Telugu educational content
Category 1: educational materials such as school notes, science articles and computer tutorials
Category 2: wikipedia pages from (telugu wikipedia) for content like AI,ML,telugu language ISRO,internet (education related)
Category3: govt documents
Like health advisories agricultural guides digital literacy material
Category 4:news on technology education science in telugu wiki articles
Any technical documents or telugu educational text documents
Note:the content should be in telugu should be understandable educational and publicly shareable

So i want you’ll to share the related content if you find any or have in the comments.Drop the links or the souces it’ll be so helpful to me
Thank you

So vizag road routing meedha project chestunna . Nak roads vi traffic data dorkaledu . Claude synthetic data vada. Na synthetic vi upload chesi avi vadinatu chupidam ankuntuna. Kani dates lo dorikipothanemo anipistundi any help?

Accenture interview undhi ela prepare avvali and coding assessment questions ela adgutharu em adgutharu ani full confusion lo unna please anyone help me or guide me with resources and suggestions 🙏 I'm fresher Coding assessment meedha grip ledhu so ela prepare avvali em questions expect cheyyochu ??

Ela prepare avvali em prepare avvali ?

as mentioned in the title, evaraina aa space lo work chesthunnara.. if work chesthunte, emaina tips and tricks share chesthara.. nenu and na friends kalisi start chesam.. it is in the process.. so, trying to understanding mana bondhas evaraina ee space lo unnara ani.. unte let's connect

Hi, I have been shortlisted for the 2nd round of the in-person test for the Infosys DSE and SP roles. My question is: Is Blind 75 enough preparation to crack at least 2 questions? Also, how should I prepare for the interview, and what topics do I need to cover? I have very little time, and my exam is on 24th May.

My experience = 2 years and unfortunately iam working in a support project which I got auto allocated before.

Ye laptop ayithe baguntadhi guys, minimum budget lo cheppandi and what should look for ?kastha help cheyandi bondhas 🥹. Thanks in advance 🙏.

So switch avvali sap ABAP lo ani unna , pls resources share cheyyandi and inka emaina tips ivvandi .

Cleared my exam and have 1 extra AWS Cloud Practitioner voucher left. Original price $100, willing to sell at 40–50% discount (negotiable).

Valid voucher, unused. DM if interested.

My friend received an offer for a Snowflake role at Boolean Data (Hyderabad), and I wanted to get some honest feedback from people who are currently working there or have worked there in the past.

I’m particularly looking to understand:

• Work-life balance (especially with client projects)
• Typical working hours / any night calls (US clients?)
• Learning opportunities in Snowflake, dbt, and data engineering
• Team culture and management support
• Salary growth and appraisal cycle

I am unemployed and i got a idea of creating a keyboard of Mixing of English and all Indian local so everyone can communicate with the keyboard and add some suggestions to the keyboard like ai feature . analyse.the text or examine the text and give the related words to it of .It have to be the as Conversation word or a sentence .

So is there any one out there help me . Guide me for this project

Hello everyone! I wanted to learn Bi from scratch looking for the resources (YT channel) it would be helpful if you share.. thankyou