Daniel Scott | Code

Dev | @Code | @GitHub |@Openai
Creating things that (mostly) work
Learning in public

Currently building @leeching

[Daniel Scott | Code @danscripts]

Today is the day @leeching comes to life and is available for everyone to use! Excited for you guys to get onto the site and let me know your feedback :)

[Daniel Scott | Code @danscripts]

Something cool is coming soon :)

[Daniel Scott | Code @danscripts]

Welcoming my new project that I have been working on for the last couple of months!

@leeching helps you replace paid tools, uncover overlooked repositories, and spot the product opportunity between working code and something people want to use.

Excited to share more later today tonight.

[Daniel Scott | Code @danscripts]

Also, I will be testing a new way of making it "paid" without having to actually pay for it, stay tuned.

[Daniel Scott | Code @danscripts]

Alright boys, think I have pretty much finished up what I have been working on the last month

Will post some details soon!

[Daniel Scott | Code @danscripts]

Alright boys, think I have pretty much finished up what I have been working on the last month

Will post some details soon!

[Daniel Scott | Code @danscripts]

Building something pretty cool.

Will share it with you guys soon!

[Daniel Scott | Code @danscripts]

Anthropic accidentally leaked 500K+ lines of AI coding agent code on GitHub

Became one of the most downloaded repos instantly

Devs even recreated it as “Claw Code” within hours
👉 Big impact: competitors + open-source community got insights into advanced AI agent

[Daniel Scott | Code @danscripts]

Your coding agent shouldn’t care where you are.

Cave keeps your session in sync across Web, Mobile, and SSH start anywhere, continue anywhere.

Powered by OpenCode’s architecture, your agent runs once and every client connects to the same session.

[Daniel Scott | Code @danscripts]

Copilot “Ads” controversy (big backlash)
GitHub Copilot was inserting promotional text inside pull requests
Happened in ~11,000 PRs
Devs got mad because it looked like they wrote it themselves
GitHub removed it quickly and called it a “logic issue

[Daniel Scott | Code @danscripts]

CodeNexus

Where code meets connection.

We’re building a hub for developers and innovators.

Hiring:
• GFX Designer
• X (Twitter) Moderators
Fees will support verification, computing, and growth.
Join us.

[Akshay 🚀 @akshay_pachaar]

Claude vs. Claude Code vs. Cowork.

If you've been confused about which one to use and when, this post will clear that up in under two minutes.

Anthropic now offers three distinct ways to interact with Claude, and each one targets a fundamentally different workflow. Think of it as: Chat for thinking, Code for building, and Cowork for doing.

Here's a quick breakdown:

1️⃣ Claude Chat

This is the conversational AI assistant most people already know. You type a prompt, Claude responds, and you iterate together.

- Turn rough ideas into structured plans through conversation
- Write emails, reports, essays, and long-form content
- Research and summarize complex topics in minutes
- Analyze documents, PDFs, and images
- Build interactive prototypes through Artifacts

The key here is that everything happens through conversation. You're thinking with Claude, not delegating work to it.

It's available on every device, has a free tier, and supports persistent memory across sessions.

The tradeoff is that it has no direct access to your local files (upload only), and it can't generate raster images natively.

2️⃣ Claude Code

This is a terminal-native coding agent. You describe what you want in plain English, and Claude reads your codebase, writes code, runs tests, fixes errors, and ships the result.

- Build and debug entire features across the full codebase
- Write, run, and fix tests automatically
- Manage git workflows and create pull requests
- Spawn multiple parallel agents working on different parts of a task simultaneously

It handles the full development cycle end to end, from planning to execution to testing. With the CLAUDE(.)md configuration file, you can teach it your project's conventions, patterns, and constraints so it writes code the way your team expects.

The tradeoff is a steeper learning curve compared to Chat, and token costs can add up during heavy sessions.

3️⃣ Claude Cowork

This is the newest addition. Anthropic describes it as Claude Code for the rest of your work.

It's an agentic desktop assistant that automates file management and repetitive tasks through a GUI. You describe an outcome, and Claude plans, executes, and delivers finished work: formatted documents, organized file systems, spreadsheets with working formulas, and synthesized research.

- Direct local file access and editing (no upload/download cycle)
- Schedule recurring tasks automatically
- Assign tasks remotely via Dispatch from your phone
- Computer Use lets Claude control your screen directly

It runs inside a sandboxed virtual machine on your computer, so Claude can only access folders you explicitly grant. You don't need to know how to code to use it.

The tradeoff is that your computer must stay awake for tasks to run, and it's still in research preview.

Here's how to think about choosing between them:

→ If you need to think through a problem or get writing/research help, use Chat
→ If you're building software and want an autonomous coding partner, use Code
→ If you have a clearly defined deliverable that involves local files and desktop workflows, use Cowork

All three are included in the same subscription starting at $20/month, which makes it one of the highest-leverage subscriptions in productivity software right now.

I've put together a visual below that maps the workflow of each product side by side.

If you want to go deeper into Claude Code specifically, I wrote a detailed article covering the anatomy of the .claude/ folder, a complete guide to CLAUDE(.)md, custom commands, skills, agents, and permissions, and how to set them all up properly. Link in the next tweet.

[𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰 @techwith_ram]

This is the only article you’ll need to build your own MCP server. It covers:

> need of MCP
> how MCP works
> core concepts along with visualization
> build your own mcp server
> theory + coding

[Suni @suni_code]

Someone on Github Uploaded Company wise Interview Questions 😭😭

I'm going to cancel my leetcode premium now 😭🙂

[Daniel Scott | Code @danscripts]

That story never gets old — pure consistency pays off 💯

Coding Interview University is honestly one of the most complete roadmaps out there. It’s not just “learn to code” — it’s a full deep dive into how real CS works:

[Vaishnavi @_vmlops]

A guy didn't have a CS degree
wanted to work at Google
studied 8-12 hrs/day for months
got hired at Amazon instead

he open-sourced his entire study plan
coding-interview-university - 337k stars on GitHub

covers everything: DSA, trees, graphs, dynamic programming, system design, OS, networking

https://t.co/CbcPEStrWb

the most complete free CS curriculum on the internet

[Nikolas Matias @NikolasMat35513]

@suni_code Thanks for the information.

[Q @frutigeraerosol]

@suni_code you are a disgusting clout chaser

[Anthony Don Emmanuel @TomilolaNa53446]

@suni_code the courses were never the bottleneck. what people actually needed was accountability, structure, and someone to unblock them when stuck. those dont live in a GitHub repo. the shift is AI can now handle the unblocking part. accountability is still on you

[Suni @suni_code]

@jahirsheikh8 Always, 🥹 Welcome

[Suni @suni_code]

@bygregorr Truth bomb 💣 most of the people by choose to stay mid. Delay their actions.

[Gregor @bygregorr]

@suni_code Free > paid isn't always the upgrade. The MIT OCW graveyard of half-watched lectures is real.