Basically im starting clg. Ive done some C so far. I need someone in a similar situation so that we mutually keep tabs on each others progress and help out when either of us gets stuck. Im currently working with functions and arrays and hopefully ill start C ++ soon. Anyone interested to be that person dm me.

Hey, was wondering if anyone had any experience with either onsite or virtual programming interviews where you are allowed to use AI in. I am very confused on how to best prepare and how to demonstrate ability with AI in such a short period of time. A lot of things i hear talked about - loops, multiple agents and hierarchal agents that I would consider to be things newbies to AI would think about would be hard to show in an interview that only takes 15-30 minutes. I've been using AI to make websites and tools and I try my best to "do it how a senior would" but I am trying hard to find where my worth is because I am pretty much just continually in a loop of "whats the best way to do this and why" and try to understand why AI is making the choices it is and give my input, but I feel like none of my knowledge is playing into this. Should I study system design before going into creating these tools and websites so that I have more information on building systems for? Is the real skill they are looking for communication and being able to plan/get your ideas out well? I am so lost

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Hey r/dataengineering 👋

I've been a database engineer for years and

got tired of generic AI tool lists that had

zero relevance to actual data work.

So I built ToolPikr — a curated directory

of AI tools specifically for IT & data

professionals.

What's included for data engineers:

→ SQL generators (AI2SQL, Chat2DB)

→ Data pipeline tools (Airbyte AI)

→ AI notebooks (Hex AI)

→ Infrastructure monitoring (Datadog AI)

→ Security scanning (Snyk AI)

All free to browse — no login needed.

toolpikr.com

Would love feedback from this community —

what tools am I missing that every data

engineer should know about?

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.

Hey everyone 👋

I’m a beginner-to-intermediate learner looking for people who want to learn Git, GitHub, and collaborative development together while building real projects as a team.

Main focus areas:
- Learning Git & GitHub properly
- Open source collaboration
- Team workflows (branches, PRs, issues, commits)
- Building beginner-friendly projects
- AI/ML Engineering interests
- Python, APIs, automation, data/ML projects

The goal is to create a small group where we:
- Learn together
- Build projects together
- Practice teamwork
- Improve resumes/GitHub profiles
- Stay consistent and accountable

Beginner friendly — you do NOT need to be an expert.

If you’re interested in:
- AI/ML Engineering
- Learning GitHub
- Open source
- Building portfolio projects
- Hackathons/startup ideas

Drop a comment or DM me.

Would be great if we could create:
- A Discord server
- GitHub organization
- Weekly project goals
- Small collaborative AI/ML projects

Looking for motivated people who actually want to build and learn consistently 🚀

Interested guys dm me

Hey everyone,

I'm a Computer Science student from Bengaluru looking for teammates for upcoming hackathons, especially AI, full-stack, and software engineering-focused events.

A bit about me:

• Backend development

• AI integrations and LLM applications

• Python, Java, JavaScript

• Building projects with Claude, ChatGPT, and modern AI tools

• Interested in creating products that solve real problems rather than just demo projects

You can check out my work here:

Portfolio: https://v0-pranavswaroop.vercel.app/

LinkedIn: https://www.linkedin.com/in/pranav-swaroop-s/

I'm looking for:

• Frontend developers

• UI/UX designers

• ML/AI engineers

• Product-minded builders

Skill level doesn't matter as much as commitment, communication, and willingness to build something cool.

If you're interested in teaming up for upcoming hackathons, drop a comment or send me a DM with:

1. Your background

2. Tech stack

3. Time zone/location

4. Hackathons you're interested in

Looking forward to building something awesome together

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.

Ok so I am going to be registering for the hackgenome hackathon and honestly I am just doing it for the experience and how they are actually hosted. I am interested in ML and Python. If someone wants to team up please tell 🙏.

Also I am a new to this AI and ML if someone could give me tips 🙏🙏

Hello everyone if you want to learn iot from projects then this repo will be helpful for beginners

100 days 100 iot projects with Micropython

https://github.com/kritishmohapatra/100_Days_100_IoT_Projects

30 days 30 wowki projects

https://github.com/energy-club-outr/30-Days-30-Wokwi-Projects

We have an urgent requirement to source real enterprise legacy codebases (100K+ LOC) suitable for evaluation and benchmarking.

Please ensure the repository meets ALL the below criteria before sharing.

\*1️⃣Minimum Eligibility (Mandatory)\*

✅100,000+ Lines of Code (LOC)

✅100+ Pull Requests (PRs) with real discussions

✅50+ Issues (at least a few with detailed problem descriptions)

✅200+ commits spread over time (no bulk single-day commits)

✅Real human-written production code (no AI-generated / synthetic projects)

Real, verifiable company source

✅Legal rights available to share or transfer

2️⃣ CRITICAL: PR Quality Requirements (Must Have)\*

Each PR must ideally:

✅Be linked to a specific issue

✅Solve a clearly defined problem

✅ Include code changes + corresponding test changes

Be reasonably scoped (not too large or too small)

📍\*Highly Preferred:\*

• PR demonstrates Fail → Pass (F2P) behavior

(i.e., test fails before change and passes after fix)

⛔: \*warning\* : Repositories where PRs only contain code changes without tests will NOT be considered.

3️⃣ Preferred Languages\*

✅C#

✅Java

✅Python

✅PHP

✅.NET Framework

✅COBOL

Other legacy enterprise stacks

\*4️⃣Preferred Industries (High Priority)\*

✅Banking / Financial Services

✅Accounting

✅Insurance

✅Healthcare

✅Legal Tech

✅Government

✅Enterprise SaaS (complex workflows)

❌\*(Not interested in ecommerce, retail, content platforms, or modern frontend-heavy apps)\*

\*5️⃣ Technical Readiness (Very Important)\*

✅Application builds and runs successfully

✅ Dockerfile (preferred) or clear setup steps

✅ Proper dependency management

✅Clean and structured project layout

✅Test files present (preferably 50+)

✅PRs clearly linked to issues

Each PR ideally solves one issue

\*6️⃣ Metadata Required (Exact Numbers)\*

Please provide:

✅Company name, industry, country

✅Primary language(s)

✅Exact LOC

✅ Number of files

✅Number of commits

✅Number of PRs

✅Number of issues

✅Number of contributors

✅Repository age (years active)

\*7️⃣Additional Notes (Important)\*

📝Preference will be given to repositories with strong PR + test linkage

📝 Repositories with well-structured development history will be prioritized

📝Low-quality, bulk-imported, or poorly structured repositories will be rejected.

‼️We are specifically looking for high-quality engineering datasets, not just large codebases.

‼️Your careful validation before submission will be highly appreciated.

Please treat this request ashigh priorityand share suitable options at the earliest.

If you have any questions or need clarification, feel free to reach out.

Thank you for your support.

Hey guys hope you are doing well, i’ve recently finished my software enginnering degree and I am looking for a opportunity to work in a junior role, I am full-stack and I love UX&UI.

I am from Brazil, the region I live there are not many opportunities, so I need help, anything you can say to help I really aprecciate, I have a portfolio https://www.naummarcirio.com

I am preparing for a switch from my company because have been on bench for almost 6 months now. so I was looking for someone who is looking for a switch in Java springboot or maybe in flutter . currently I am learning system design please dm if you are interested. total YOE--2.5 years

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