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Introducing Claude Engineer 2.0, with agents! 🚀 Biggest update yet with the addition of a code editor and code execution agents, and dynamic editing. When editing files (especially large ones), Engineer will direct a coding agent, and the agent will provide changes in batches. Batches are smartly selected based...

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Pietro Schirano

103,958 subscribers

393,330 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 10

Фото профиля Pietro Schirano
Pietro Schirano1 год назад

You can now save your chat by typing "save chat," and it will create an markdown file of the entire conversation. This is perfect if you are looking to resume a conversation another time just by providing this context. You can also reset chats.

Фото профиля Pietro Schirano
Pietro Schirano1 год назад

You can also see the inputs and outputs token for each model/agent used, and the full total amount for the chat, as well as the cost.

Фото профиля Pietro Schirano
Pietro Schirano1 год назад

For safety, all the code is run in predefined virtual environments. Claude Engineer can install dependencies when needed and run any code safely.

Фото профиля Pietro Schirano
Pietro Schirano1 год назад

Lots and lots of work went into this project. This is my gift to the community, to empower people towards a future where everyone can build anything they dream of. Please consider starring the project on GitHub. ⭐️

Фото профиля Pietro Schirano
Pietro Schirano1 год назад

Also, I believe there is a lot to learn from this script, especially when it comes to what I would call "Prompt System Engineering." Definitely check out the code too, so you can see how things work in the background. 👨‍🏫 There are so many details I didn't go through.

Фото профиля Pietro Schirano
Pietro Schirano1 год назад

I already added full support for more than 8000 token outputs as seen in this post from @alexalbert__

Фото профиля ChrisCarm
ChrisCarm1 год назад

how have you turned me into a full-time coder, knowing nothing about code?

Фото профиля Pietro Schirano
Pietro Schirano1 год назад

That's the magic! Put your seatbelt on, it's gonna be a wild ride. We're just starting.

Фото профиля Asfi
Asfi1 год назад

I have a constant need of taking little ideas made in streamlit to Flask or FastAPI. It's a struggle as I'm a noob. Claude Engineer took a shitty prompt of "convert this streamlit script into a Flask app" and it just worked, folders made, no errors etc. Thank you for this gift

Фото профиля Pietro Schirano
Pietro Schirano1 год назад

Amazing! And imagine the results when these models get smarter!

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Pushed a small but mighty update to Claude Engineer. When using editing, Claude will select the batches based only on the code blocks worth editing. Showing the selected blocks and the proposed update. This should improve editing quality by a lot and token management too.
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Pushed a small but mighty update to Claude Engineer. When using editing, Claude will select the batches based only on the code blocks worth editing. Showing the selected blocks and the proposed update. This should improve editing quality by a lot and token management too.

Pietro Schirano

48,324 просмотров • 1 год назад

I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.
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I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.

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Vibe coding won't scale your team. Codegen 3 will. 🚀 Introducing Codegen 3.0: The Operating System for Code Agents Now with Claude Code integration, AI code review, agent analytics and more. Try your first runs free today.
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The Blackbox CLI is now open source. Smart debugging, automated project setup, and multi-agent execution to run multiple coding agents in parallel. Check out the code, contribute, or report any issues here
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8 rules to improve your AI coding agent. All of these rules work with Claude Code, Cursor, VS Code, and with most programming languages. Automating these rules will 10x the code quality and security produced by your AI coding agents. 1. Dependency checks - Prevent your agent from suggesting insecure libraries based on outdated training data. 2. Secret exposure - Auto-fix the use of hardcoded credentials introduced by your coding agent. 3. File and function size - Automatically refactor any files or functions that exceed a reasonable length. 4. Complexity and parameter limits - Simplify overly complex code written by the agent. 5. SQL Injection - Auto-fix all database interactions with unsanitized user input. 6. Unused variables and imports - Detect and remove dead code. 7. Detect invisible unicode characters in AI rules files - Remove zero-width spaces, direction overrides, and other invisible characters that can hide malicious behavior. 8. Insecure OpenAI API usage - Enforce use of secure OpenAI endpoints, proper authentication, and context isolation Here is how you can automate this: Install the Codacy extension. This will give you access to a CLI for local scanning and an MCP server for agent communication. From here on out, every time you need to generate some code: 1. Your agent will write the code 2. It will then call Codacy's CLI to check it 3. It will find any issues in real time 4. Your coding agent will fix the issues 5. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Here is the link to download the extension for your IDE: Thanks to the Codacy team for collaborating with me on this post.
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8 rules to improve your AI coding agent. All of these rules work with Claude Code, Cursor, VS Code, and with most programming languages. Automating these rules will 10x the code quality and security produced by your AI coding agents. 1. Dependency checks - Prevent your agent from suggesting insecure libraries based on outdated training data. 2. Secret exposure - Auto-fix the use of hardcoded credentials introduced by your coding agent. 3. File and function size - Automatically refactor any files or functions that exceed a reasonable length. 4. Complexity and parameter limits - Simplify overly complex code written by the agent. 5. SQL Injection - Auto-fix all database interactions with unsanitized user input. 6. Unused variables and imports - Detect and remove dead code. 7. Detect invisible unicode characters in AI rules files - Remove zero-width spaces, direction overrides, and other invisible characters that can hide malicious behavior. 8. Insecure OpenAI API usage - Enforce use of secure OpenAI endpoints, proper authentication, and context isolation Here is how you can automate this: Install the Codacy extension. This will give you access to a CLI for local scanning and an MCP server for agent communication. From here on out, every time you need to generate some code: 1. Your agent will write the code 2. It will then call Codacy's CLI to check it 3. It will find any issues in real time 4. Your coding agent will fix the issues 5. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Here is the link to download the extension for your IDE: Thanks to the Codacy team for collaborating with me on this post.

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Claude Code just became a multi-agent powerhouse! Create custom agents like code reviewers and security experts with /agents My workflow: software engineer → code reviewer → security agent. Each specialised agent catches what others might miss 10x'd my productivity by having focused experts review every step. Here's how to set it up:
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My talk from the AI Engineer Code Summit is out! 🚨 "How Claude Code Works" and what we can learn about frontier agent architectures. Coding agents are suddenly really really good, and I'm trying to understand why. In short: better models, simple loop design, and bash tools
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13,936 просмотров • 5 месяцев назад

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New course: Building Coding Agents with Tool Execution, taught by Tereza Tizkova and Fra from E2B. Most AI agents are limited to predefined function calls. This short course teaches you to build agents that write and execute code to accomplish tasks, accessing entire programming language ecosystems instead of being restricted to a fixed set of tools. You'll learn to run agent-generated code safely in sandboxed cloud environments that protect your systems from harmful operations. Skills you'll gain: - Build agents that write and execute code, manage files, and handle errors autonomously through feedback loops - Run agent code safely in E2B cloud sandboxes and understand tradeoffs between local, containerized, and cloud execution - Create a data analyst agent that explores visualizes data with Pandas - Create a full-stack agent that builds complete Next.js web applications Join and build agents that code their way through complex tasks:

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Running Claude Code Agents in Docker and it's working great 👏 Just executed this and watched Claude build a complete Express REST API inside an isolated container: npx claude-code-templates@latest --sandbox docker \ --agent development-team/backend-architect \ --prompt "Create a REST API with Express with validation and error handling" - Container spins up - installs Claude Agent SDK - downloads the agent - Claude starts coding Everything visible in Docker logs. Output: Full Express project with routes, validation, error handling. All files extracted to local after execution. Next tutorials: Adding Telemetry and Hooks to monitor what Claude does inside the container. Running these agents on ECS or Kubernetes would be interesting 🤔

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