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m4nu

@snyper30

Hackthebox Player | security enthousiast

France Katılım Kasım 2010
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Zed A. Shaw, Writer
Zed A. Shaw, Writer@lzsthw·
If you're stuck in "Tutorial Hell" then do this: In this video I use GNU coreutils to learn Nim. Right before this I did a few of the Nim tutorials and then some of the Nim language to get the basics, and then went right to implementing `cat`. Some notes on this: 1. You don't have to memorize everything before starting. 2. Keep the docs open all the time, and if you ask AI a question, don't copy-paste the code. 3. If you can't figure it out and need to use the AI code then manually type it in and look up everything in there. 4. If you get done and feel like you couldn't do it again...then do it again. Take notes on how you did it, then try to do it again from your notes only. 5. Doing something twice confirms it wasn't luck. This defeats impostor syndrome.
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Viacheslav Biriukov
Viacheslav Biriukov@brk0v·
🦀 Building an LLM from scratch in Rust - Part 4 is where the model actually learns. No autograd magic: you hand-roll backprop through linear layers, attention, layer norm, MLP. Watching it go from pure noise to Shakespeare. tag1.com/how-to/part4-t… #rust #rustlang #LLM #gpt
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Nagli
Nagli@galnagli·
The Bug Bounty Masterclass is now on YouTube - 3 hours and 39 minutes of content, one shot. I took a lot of inspiration from @karpathy's LLM deep dive course, Something nice about just pressing play and going from zero to expert in one sitting : ) 👇 youtube.com/watch?v=G3t1Jk…
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Zed A. Shaw, Writer
Zed A. Shaw, Writer@lzsthw·
"A Rant about Single Programming Language Universities"
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LaurieWired
LaurieWired@lauriewired·
someone built a Linux CPU scheduler that makes scheduling decisions based on planetary positions and zodiac signs it actually works haha:
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Mohit Mishra
Mohit Mishra@chessMan786·
ELF 101: A Linux Executable Walkthrough
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Zed A. Shaw, Writer
Zed A. Shaw, Writer@lzsthw·
"Should I learn web development or C?"
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Zed A. Shaw, Writer
Zed A. Shaw, Writer@lzsthw·
Someone asked during this morning's stream how to read/write Regex so I gave a little demo of how I do it.
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The Lunduke Journal
The Lunduke Journal@LundukeJournal·
Memory Corruption Vulnerability in Linux "Memory Safe" Rust Code Rust programmers re-wrote a portion of the Linux kernel in Rust. That Rust code had a crashing vulnerability in an "unsafe" chunk of code... which Linux is littered with.
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Péter Szilágyi
Péter Szilágyi@peter_szilagyi·
Just published a new #Rust crate: darkbio-cobs! It is a reimplementation from zero of the COBS encoding format. My library is ~5% faster at encoding; and ~275% faster at decoding than the standard Rust `cobs` crate. 🤓 crates.io/crates/darkbio…
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Matthias
Matthias@matthiasendler·
How can Rust solve problems that C can't in the Linux kernel? I talked to Danilo Krummrich about rewriting NVIDIA's driver in Rust and the Rust4Linux project. Turns out, when your code compiles, it actually works. corrode.dev/podcast/s05e06… #rustlang #rust
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Abhishek Singh
Abhishek Singh@0xlelouch_·
As a Rust engineer, please learn: --- Foundation (Beginner → Competent) The fundamentals that separate “I can write Rust” from “I understand Rust.” - Core Language - Ownership, Borrowing, Lifetimes (the real entry exam) - Result, Option, pattern matching - Slices, strings, references, iterators - Traits & generics (parametric polymorphism) - Error handling (thiserror, anyhow) - Cargo workspaces & dependency management Mental Models - Move semantics vs Copy semantics - Zero-cost abstractions - Stack vs heap & how Rust allocates - Why Rust is not like C++, Go, or Python Must-Learn Tools - cargo test, cargo bench, cargo fmt, clippy - rust-analyzer --- Architecture (Intermediate → Solid Engineer) - Systems Patterns - Traits as interfaces - ZST strategy types & compile-time polymorphism - Phantom types for type-level invariants - Smart pointers (Arc, Rc, Weak, RefCell) - Concurrency primitives (Mutex, RwLock, channels) - Async Rust (tokio, async-std, executors) Memory & Performance - Profiling (perf, flamegraph, cargo profiler) - Allocation patterns (Box, arenas, bump allocators) - Minimizing clones - Struct-of-arrays vs Array-of-structs - Cache friendliness Async & Networking - tokio::spawn, cancellation, backpressure - Streams, pinning, async lifetimes - Building servers with axum, warp, hyper --- Advanced (Production-Grade Rust Engineer) This is where Rust becomes a superpower. - Advanced Type System - Higher-ranked trait bounds (HRTBs) - GATs (generic associated types) - Advanced lifetimes & variance - Type-state programming - Custom derives & procedural macros Unsafe & FFI - Safe wrappers around unsafe code - Writing bindings to C/C++, Python, Zig - Understanding UB, aliasing rules, and memory models Data Structures - Lock-free structures - Custom allocators - Building your own iterator adaptors - Arena allocators for high-performance workloads Concurrency & Parallelism - Work-stealing runtimes - Custom executors - Actor models (e.g., building your own mini-Actix) --- Production (Deploying Rust in Real Systems) Most engineers fail here — Rust doesn’t forgive sloppy production design. - Engineering Practices - Deterministic error handling - Observability (OpenTelemetry, tracing spans) - Feature flags - CI/CD checks (fmt, clippy, tests, benches, docs) - Load testing & regression benchmarking System Design with Rust - Building high-throughput services (100k–1M RPS) - Understanding Linux syscalls & epoll - Backpressure handling - Graceful shutdown & cancellation - Horizontal scaling architecture Security & Safety - Memory-safe FFI boundaries - Sandboxing & capability-based design - Auditing unsafe blocks --- Frameworks & Ecosystem - Web → Axum, Hyper, Actix - DB → sqlx, SeaORM, SurrealDB client - Messaging → Kafka, NATS, MQTT clients - Agents/RAG →Ollama bindings, Candle, Burn
Akshay Shinde@ConsciousRide

As an AI engineer. Please learn: Foundation: - Vector Databases (Pinecone, Weaviate, Qdrant) - Embedding models & similarity search - Prompt Engineering & Chain-of-Thought - LLM Evaluation metrics - Token optimization & cost management Architecture: - RAG patterns (naive, advanced, hybrid) - Agentic AI (ReAct, tool use, planning) - Multi-agent orchestration - MCP & standardized protocols - Memory persistence (vector + conversational) - Streaming & async patterns Production: - Model Fine-tuning (LoRA, QLoRA) - Function calling & structured outputs - Guardrails & safety systems - Production monitoring & observability - Cost optimization at scale Frameworks: - Agent frameworks (LangChain, LlamaIndex, CrewAI) - OpenAI Assistants API / Claude Computer Use Stop jumping from OpenAI to Claude to Gemini to Llama. Bookmark this for AI Learning roadmap. Pick one API. Build something real. The prompt patterns are 90% the same. The job market wants people who can ship production AI systems, not switch models.

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Wirebrowser
Wirebrowser@wirebrowser·
New in Wirebrowser: Breakpoint-Driven Heap Search (BDHS) — step-out debugging + temporal heap snapshots to identify the user-land function where a JavaScript value is created, even across async boundaries. Writeup: fcavallarin.github.io/wirebrowser/BD…
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