Agentic AI Coding
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Channel Posts
🧿 Claude Code
And this is not a superficial overview, but a thorough analysis of the tool for those who want to really improve their vibe coding and work with AI agents.The course is led by Lydia Hallie from Anthropic. 👩💻 📋 Content: • Basics of Claude Code • Skills • Hooks • Sub-agents • MCP • Plugins • Agent SDK • Advanced work scenarios
| 2 | 1. agent-desktop
Desktop automation. Read the system’s accessibility tree and judge which button, menu, or input field to interact with next.
https://github.com/lahfir/agent-desktop
2. typesafe-mario
Have Jev play Super Mario. No screenshots — just read the structured state from the emulator’s RAM, then decide whether to run, jump, or dodge.
https://github.com/fhshaik/typesafe-mario
3. jev-drone
Use Jev to control a drone. The underlying flight-control system handles stability and safety; Jev makes higher-level tactical judgments such as climbing, braking, and navigating obstacles.
https://github.com/RomanSlack/jev-drone
4. OneVOneJev
1v1 FPS in the browser. At every decision tick, judge movement, view angle, aiming, firing, and jumping.
https://github.com/emrickgarrett/OneVOneJev
5. jev-trader
AI trading decisions on the Monad testnet. Jev evaluates the next trade based on market conditions such as spreads and trade direction.
https://github.com/jarrodwatts/jev-trader
6. Prism
Jev doesn’t directly place orders. It evaluates states such as toxic flow, market pressure, mean reversion, etc., then hands the judgment back to the original strategy.
https://github.com/irfndi/prism-llm
7. neo4jev
Put Jev inside a knowledge graph. At each node, judge which edge is the most worthwhile to follow next, then continue the traversal.
https://github.com/jexp/neo4jev
8. jev-curate
Use Jev to screen training data. For JSONL / Parquet datasets, first judge quality, relevance, and risk, then decide which records should enter the next training round.
https://github.com/AkashPriyadarshee/jev-curate
9. Canny
Prevents Coding Agents from stubbornly claiming they’re done. Look at tool outputs, code diffs, and test results, then judge whether the completion claim is actually reliable.
https://github.com/qkal/Canny
10. killmyidea
Input a startup idea, and Jev evaluates it from multiple angles before producing one of three outcomes: KILL, FIX, or SHIP.
https://github.com/monteduro/killmyidea
Copy these complete Jev blueprints — then read the full Jev setup below ↓ ↓ | 399 |
| 3 |  Jev has been exploding in popularity recently. 🚀
If you already have access to the Jev API but aren’t sure how to start experimenting with it, just copy this checklist: | 1 227 |
| 4 | PDFs @ai_codin.zip | 582 |
| 5 |  06 - Microsoft 365 Copilot Pro Course Wrap Up | 572 |
| 6 |  05 - Copilot in PowerPoint | 543 |
| 7 |  04 - Copilot in Excel | 526 |
| 8 |  03 - Copilot in Word | 469 |
| 9 |  02 - Getting Started and Signing Up | 435 |
| 10 |  01 - Introduction to Microsoft 365 Copilot Pro | 428 |
| 11 |  Microsoft 365 Copilot Pro Course
Learn how to use Copilot Pro across Word, Excel, and PowerPoint to speed up everyday tasks like writing, analyzing data, and building presentations. This course gives you practical skills for using AI directly inside Office apps. | 388 |
| 12 |  🔅 AI NEWS | 367 |
| 13 |  🔆 Claude Cowork For Beginners: AI Automations and Workflows
No technical knowledge required! Automate Files, Tasks, Emails, Reports, Research, and Workflows with Claude Cowork AI. | 361 |
| 14 |  🧿 Learn 97% of Claude in Under 16 Minutes
In this video, I show you how I use Claude across every part of my business to save hours every single day, write code, run my calendar, and even ship work while I sleep. If you're paying for Claude and only using a fraction of it, this is the video that pays for itself in week one.
Anthropic's Claude Code setup guide: https://code.claude.com/docs/en/overview | 356 |
| 15 |  🧿 ANTHROPH\C Launches 13 Free AI Courses
Anthropic Academy has announced 13 free AI courses. The courses cover the following topics:
• Working with Claude
• AI Fundamentals
• AI Agents
• Model Context Protocol (MCP)
• Claude Code
• Working with APIs
• Enterprise AI
• Google Cloud Vertex AI and Amazon Bedrock Integration
1. Claude 101
2. AI Fluency: Framework & Foundations
3. Introduction to Agent Skills
4. Building with the Claude API
5. Claude Code in Action
6. Introduction to Model Context Protocol (MCP)
7. MCP: Advanced Topics
8. AI Fluency for Students
9. AI Fluency for Educators
10. Teaching AI Fluency
11. AI Fluency for Small Businesses
12. Claude with Amazon Bedrock
13. Claude with Google Cloud Vertex AI
The courses are designed for a wide audience, from beginners to developers, educators, students, and business owners. | 5 302 |
| 16 | How It Works - Essential Guide to Claude , 1st Edition 2026.pdf | 331 |
| 17 |  How It Works - Essential Guide to Claude , 1st Edition 2026
This issue provides a comprehensive look at using Claude, the advanced AI assistant designed to enhance everyday tasks. Featuring insights into coding, privacy, and effective organization, the guide aims to empower users with practical applications of the technology in daily life. | 339 |
| 18 |  🔁 K-Fold Cross Validation
K-Fold exists to answer one honest question:
Will this model work on unseen data?
A single train/test split is unreliable, especially with small datasets.
So K-Fold simulates multiple “future tests” using the same data.
🧠 What It Really Does
Instead of one split, we:
🔀 Divide data into K folds
🔁 Train the model K times
📦 Each time: one fold validates, the rest train
📊 Average the scores
Every sample gets validated once, which reduces evaluation noise and gives a more trustworthy estimate.
Important: It improves evaluation, not the model itself.
⚠️ What People Often Miss
🚫 Do NOT use K-Fold as your final test. Keep a separate test set
⚖️ Use Stratified K-Fold for imbalanced classification.
⏳ Do NOT use standard K-Fold for time series.
📊 K = 5 or 10 is usually enough.
✅ In short K-Fold is just:
A smart way to reuse limited data to simulate multiple real-world tests.
No magic. Just careful evaluation. | 426 |
| 19 |  📌 A comprehensive masterclass on Claude Code is available via this repository: https://github.com/luongnv89/claude-howto.
This resource provides a detailed visual and practical guide for one of the most powerful tools for developers. The repository includes:
• Step-by-step learning paths covering basic commands (/init, /plan) to advanced features such as MCP, hooks, and agents, achievable in approximately 11–13 hours. 📚
• An extensive library of custom commands designed for real-world tasks.
• Ready-made memory templates for both individual and team workflows.
• Instructions and scripts for:
- Automated code review.
- Style and standards compliance checks.
- API documentation generation.
• Automation cycles enabling autonomous operation of Claude without direct user intervention. ⚙️
• Integration with external tools, including GitHub and various APIs, presented with step-by-step guidance.
• Diagrams and charts to facilitate understanding, suitable for beginners. 📊
• Examples for configuring highly specialized sub-agents.
• Dedicated learning scripts, such as tools for generating educational books and materials to master specific topics efficiently.
Access the full guide here: https://github.com/luongnv89/claude-howto | 347 |
| 20 | 📱Artificial intelligence
📱Deep Learning with TensorFlow: Insights and Innovations | 308 |
