Top 10 Generative AI concepts every AI/ML engineer should know in 2025 👇 (1) Tokenization: https://lnkd.in/gcRG4K_c Break text into tokens (words, subwords, or bytes) for model input. Tokenization…


LinkedIn Content Strategy & Writing Style
Co-Founder & CTO at GetFluently.App (YC W24), ex Nvidia
1 person tracking this creator on Viral Brain
Stanislav Beliaev positions himself as a high-signal technical architect who bridges the gap between cutting-edge AI research and production-ready engineering. His content strategy centers on curated technical roadmaps, deep dives into the Model Context Protocol (MCP), and pragmatic defenses of the software engineering craft against AI hype. He is notable for his ability to translate complex academic papers, such as Stanford’s Verbalized Sampling, into actionable developer workflows that prioritize reliability over "vibe-based" prompting. The most compelling intersection in his work is the blend of YC-founder transparency and technical advocacy, where he uses his platform to distribute high-value open-source tools while subtly funneling non-native engineers toward his startup, GetFluently.app.
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Top 10 Generative AI concepts every AI/ML engineer should know in 2025 👇 (1) Tokenization: https://lnkd.in/gcRG4K_c Break text into tokens (words, subwords, or bytes) for model input. Tokenization…

A guy from Reddit explained how Software Engineers vibe code at FAANG 👇 People still argue that AI can’t be used for production code. That’s just not true. A seasoned AI SWE (with a 10+ years in th…

That’s why AI will NOT replace Software Engineers. This guy on Reddit pushed his Google Gemini API key to GitHub by accident. He thought the repo was private and wasn’t checking email over summer. Th…

The ultimate AI Agents roadmap with 50+ hand-picked resources 👇 🎥 Videos 1. LLM Introduction: https://lnkd.in/gTSkue54 2. LLMs from Scratch: https://lnkd.in/gdwTD6Be 3. Agentic AI Overview (Stanfo…

Anthropic dropped the most practical course on AI coding 🔥 Learn Claude Code in 1 hour: It covers: 1️⃣ Claude Code basics - read, edit, and refactor files with natural language 2️⃣ Command execution…

AI detector flagged the 1776 Declaration of Independence as 99.99% AI-written 😅 Either Thomas Jefferson was a time-travelling prompt engineer... Or these tools are completely broken. Let’s break it…

5.5 posts/week
Posts / Week
1.4 days
Days Between Posts
1
Total Posts Analyzed
HIGH
Posting Frequency
419.1%
Avg Engagement Rate
STABLE
Performance Trend
220
Avg Length (Words)
MEDIUM
Depth Level
INTERMEDIATE
Expertise Level
82/10
Uniqueness Score
YES
Question Usage
0.5%
Response Rate
Writing style breakdown
Overall tone: professional but highly conversational and accessible.
The voice is informative and practical, with a light marketing/creator edge.
It feels like a knowledgeable engineer/educator talking to peers and ambitious learners, not like a corporate brand.
Style is concise, punchy, and benefit-focused; almost every post is about “here’s something useful you can apply.”
Semi-formal to casual.
Grammar is mostly correct, but the author freely uses contractions (“won’t”, “can’t”, “it’s”, “you’re”), colloquial phrases (“That’s just not true”, “Let’s be real”), and slang-lite (“cheat sheet”, “force multiplier”, “vibe score”, “crush your next job interview”).
No excessive jargon without explanation. When technical jargon appears, it’s quickly defined or contextualized.
Medium-to-high energy, but controlled and grounded.
Hooks are assertive and attention-grabbing, but not clickbait-y: “Anthropic dropped the most practical course…”, “That’s why AI will NOT replace Software Engineers.”, “Just found a free, open-source alternative…”
Uses a “teaching + mild hype” tone: enthusiastic about tools and concepts, but always tied to concrete value.
Rare humor, but when used, it’s dry and situational: “Either Thomas Jefferson was a time-travelling prompt engineer... Or these tools are completely broken.”
Hooks in the first 1–2 lines.
Direct explanations framed as “here’s what this is” / “why it matters” / “what makes it powerful”.
Micro-structures inside posts: definition → bullet list → takeaway.
Refrains like “Let’s break it down:”, “Why it matters:”, “What makes it powerful:”.
Your thoughts?
What would you add to the list?
How will you adapt your workflows so AI makes you better?
If you're serious about mastering AI agents, this is your cheat sheet!
What would you add to the list?
So no, AI won’t replace software engineers anytime soon.
The real problem isn’t AI writing tools. It’s people making decisions based on fake certainty.
Second person (“you”, “your”) for advice and engagement.
Third person to narrate anecdotes (Reddit stories, “a seasoned AI SWE…”, “Stanford researchers built…”).
Occasional first person (“I like most…”, “Just found a free, open-source alternative…”) to add personal endorsement.
Try my app → GetFluently.app
Save this and share with others…
If you're serious about mastering AI agents, this is your cheat sheet!
Great for traffic modeling, walkability analysis, and training GNNs…
Confident, clear, and didactic.
Talks to the reader as a peer who wants to level up.
Balances utility (links, lists, workflows) with light narrative and mild opinion.
Always orients toward “what you can do with this” and “why it matters for you.”
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