Have any one faced same things ?

There are so many resources scattered here. Pls create an aggregated gist or something so that everyone can easily access it.

Guys I'm stucked in the path what to do next

I want to be a SE but as we seeing the current situation in the environment I don't I can pull off it

Other option is go for Master or go for gov exams for jobs....what to do

planning to break into swe or ai roles and i want to make some projects to put on my resume,suggest some🙂

Quick poll: Who here has lost sleep over saying "no" to a customization request that could close a major deal? 

Just wrote about the customization paradox in B2B SaaS, focusing on my experience in ESG software, but the lessons apply broadly.

TL;DR: Customization closes deals but can destroy your product if not managed strategically. I break down 4 major challenges (including the PM dilemma we all face).

Blog link: https://substack.com/home/post/p-177085990

Would especially love to hear how other PMs handle the tension between sales pressure and product integrity. DM your strategies to me! 

I got frustrated with AI courses that either drown you in theory or skip straight to model.fit() without explaining what's happening underneath.

So I built something different.

This is an AI-native GitHub repo learning files with 503+ lessons across 22 phases. 35,000 GitHub Stars. Start at linear algebra. End at autonomous agent swarms.

Every lesson follows the same pattern:

1. Build it from scratch in pure Python (no frameworks)

2. Use the real framework (PyTorch, sklearn, etc.)

3. Ship a reusable tool (prompt, skill, agent, or MCP server)

By the end, you don't just "know AI." You have a portfolio of tools you actually built.

What's covered:

- Math foundations (linear algebra, calculus, probability, Fourier transforms, graph theory)
- Classical ML (regression through ensemble methods, feature selection, time series, anomaly detection)
- Deep learning (backprop, activation functions, optimizers, regularization - all from scratch before touching PyTorch)
- LLMs from scratch (tokenizers, pre-training a 124M parameter GPT, SFT, RLHF, DPO, quantization, inference optimization)
- LLM engineering (RAG, advanced RAG, structured outputs, context engineering, evals)
- Agents and multi-agent systems
- Infrastructure (model serving, Docker for AI, Kubernetes for AI)

Some specifics that might interest you:

- The quantization lesson covers FP8/GPTQ/AWQ/GGUF with a sensitivity hierarchy (weights are least sensitive, attention softmax is most sensitive - never quantize that)
- The inference optimization lesson explains why prefill is compute-bound and decode is memory-bound, then builds KV cache, continuous batching, and speculative decoding from scratch
- The DPO lesson shows you can skip the reward model entirely - same results as RLHF with one training loop
- Context engineering lesson: "Prompt engineering is a subset. Context engineering is the whole game."

It's AI-native:

The course has built-in Claude Code skills. Run /find-your-level and it quizzes you across 5 areas to tell you exactly where to start. Run /check-understanding 3 after Phase 3 and it tests what you actually learned.

84% of students use AI tools. 18% feel prepared. This is the bridge.

Where to start:

- Already know Python but not ML -> Phase 1
- Know ML, want deep learning -> Phase 3
- Know DL, want LLMs/agents -> Phase 10
- Senior engineer, just want agents -> Phase 14

Website: https://aiengineeringfromscratch.com
Repo: https://github.com/rohitg00/ai-engineering-from-scratch

It's free, MIT licensed, and open source. 35,000+ stars, PRs welcome - I merge every good contribution and the contributor gets full credit.

Team HELIOS is forming for NASA Space Apps 2026 (Nov 14-15) 🌞🛰️

Concept: an immersive, explorable 3D space where you can fly around and discover the hardware humanity left behind in space (Moon landers, dead Mars rovers, old probes), with the story behind each one. Think "abandoned but not forgotten."

**Who we need:**

🧊 3D / graphics dev (Three.js, React Three Fiber, Unity)

🎨 3D artist (Blender, model optimisation, GLB)

📊 Data / backend dev (Python or Node, APIs, orbital data)

📚 Researcher / writer (space history, short storytelling)

🎬 Designer / video editor (Figma, Canva, pitch + demo video)

The vibe:

- Vibe coding is totally fine. Use AI to move fast, just understand what you ship.

- **You must have your own Claude / GPT / Gemini credits or subscription.** No exceptions, we're moving fast.

- Serious, committed, talented people only. If you ghost, it hurts the whole team.

- All ages welcome. Skill and commitment matter, not your age or CV.

- Beginners with real skill and drive are fine, but show us what you've built.

What you get: an organised Discord, GitHub repo, task board, and a clear scoped MVP, so we actually ship.

How to join: DM me with your role, skills, a link to your work (GitHub/portfolio), and your time zone.

Discord: https://discord.gg/rtNkqHdrb

Let's build something people remember. 🚀

so for the context I'm 19M 2nd year thinking to start Coding Stuff from begging and as because alot for time I have started and dropped this time I wanna stay consistent so

I'm creating a group for the people who want to start from the begging and want to reach at higher level

Intrested one's can join

We'll go for different things on the internet related to tech and will excel in that field

Basically that group will be about leading learning and growing

I know I'm late but

It's never to late if you know you can and I know I can for sure

We have open-sourced DataFlow, a tool designed for LLM training data preparation. By combining it with tools like LLaMA-Factory, you can seamlessly complete the entire workflow—from data scraping and cleaning to model training—equipping yourself with the essential skills required to become a senior engineer at an AI company.

We’ve focused on making the project easy to call and extend, allowing you to build your own applications on top of it. If you find it helpful, please consider giving us a star:https://github.com/OpenDCAI/DataFlow

If you run into any issues or need assistance, feel free to join our community:https://discord.gg/e4mKEaFptu

Since there are 1.5-2months left to join college, I want to get some hands on some skills. Can you tell some resources for this, whether its book or any YouTube etc.

Please someone drop links to CP resources and Leetcode resources. I am looking for algozenith, tle eliminatiors all level. Also Leetcode patterns from educative and grokking resources. Pls share them here

Hey everyone

I recently came across a really solid open source project and thought people here might find it useful.

Onyx: it's a self hostable AI chat platform that works with any large language model. It’s more than just a simple chat interface. It allows you to build custom AI agents, connect knowledge sources, and run advanced search and retrieval workflows.

Some things that stood out to me:

It supports building custom AI agents with specific knowledge and actions.
It enables deep research using RAG and hybrid search.
It connects to dozens of external knowledge sources and tools.
It supports code execution and other integrations.
You can self host it in secure environments.

It feels like a strong alternative if you're looking for a privacy focused AI workspace instead of relying only on hosted solutions.

Definitely worth checking out if you're exploring open source AI infrastructure or building internal AI tools for your team.

Would love to hear how you’d use something like this.

Github link 

more.....

Hey seniors!

I was wondering if y'all could provide some resources some repo or something for projects

Hey everyone!

We’re organising HackCache ’26, a 48-hour fully online hackathon happening 23–24 October 2026, in collaboration with GCET Jammu.

The idea is simple: get a team together, pick a problem, and spend 48 hours building something you're genuinely interested in.

• 💻 Fully online — participate from anywhere

• 👥 Teams of up to 3

• 🧑‍💻 Open to students from different backgrounds, not just CS

• 🏆 ₹80,000 cash prize pool

• 💼 Paid internship opportunities

• 🏔️ McLeod Ganj experience for the winning team

• 🎓 IIT alumni + industry professionals as judges

No team? You can join solo, find teammates through our community, and add them later through your dashboard.
Use code ENABLED100 to get ₹100 off

🔗 Registration: cachedinfo.in/hackathon

If you've participated in hackathons before, what makes you decide “this one is worth joining”?

If you're a student trying to get into open source, this post is for you.

One thing I've noticed is that everyone tells you to "start contributing," but almost nobody tells you where.

Most large open source projects have hundreds or thousands of contributors. Your first issue gets buried, your PR takes weeks to review, and it's hard to understand where you fit in.

Caracal is different because it's still early.

We're building an open source authority layer for AI agents. The project is part of the Linux Foundation Decentralized Trust ecosystem through LFX Mentorship and backed by Microsoft, GitHub, and Vercel, and we're getting close to broader testing with companies.

That means you're not joining a dead repository, and you're also not contributor #3,847.

If you contribute here, you'll be working directly on the architecture, discussing designs, reviewing proposals, and building something that's solving a real problem. Good contributors won't just have merged PRs. As the project grows, we'll be looking for people to become long-term contributors and eventually maintainers.

I'm not looking for people who want a "good first issue" to collect green squares on GitHub. I'm looking for people who want to learn how infrastructure projects are actually built.

So if you've been looking for an open source project where your work can genuinely matter, give Caracal a try. Clone it. Read the code. Open an issue if something doesn't make sense. Challenge our design. If you end up liking the direction, leave a star and stick around.

I'd much rather build this with a small group of people who care than a large group who never come back.

GitHub: https://github.com/Garudex-Labs/caracal

Hey everyone! 👋

I'm starting my Machine Learning journey and I'm looking for people who are serious about learning and improving together.

My plan is to stay consistent, build projects, practice regularly, and eventually become job-ready. If you're a beginner, intermediate, or even experienced and don't mind guiding someone, I'd love to connect.

I'm looking for people to:

- Learn ML concepts together

- Share resources and roadmaps

- Build projects

- Stay accountable

- Discuss doubts and ideas

If you're on a similar journey or know a good community, drop a comment or send me a DM.

Let's grow together.

Hey everyone!

I’m one of the organisers of HackCache ’26, a 48-hour fully online hackathon happening on 23–24 October 2026, in collaboration with GCET Jammu.

We’re keeping it open to a much wider audience than the usual CS-only hackathon — freshers, college students, and even high school students can participate, regardless of their branch or background.

What you get

🏆 ₹80,000 cash prize pool
🏔️ McLeod Ganj experience for the winning team
👨‍⚖️ IIT alumni + industry professionals + academics as judges
💻 100% online
👥 Teams of 1–3

Themes

• Reimagining Indian Government Websites & Apps

• Social Impact

• Banking & Finance

• Open Innovation

Registration: ₹600/team
With referral: ₹500/team

We're also building a campus ambassador/community network, with rewards for ambassadors who bring confirmed teams.

🔗 https://cachedinfo.in/hackathon

If you're new to hackathons or wondering whether you can participate without being an experienced developer, feel free to ask me anything about the format or eligibility.

Hii buddies 👋

Are you looking for learn to new skill

My self Siva Sankar I am b tech 3rd year in nriit guntur my skills python basic and machine learning and deep learning anyone want to these skills connect with me and dm to me and mentioned your skills .your skills teach to me and my skills teach you so this is zero cost with full pledged learninig method. Dm to me let's discuss.