The landscape of AI-powered command-line coding assistants has exploded recently, each taking a different philosophical approach to the same fundamental problem: how do we make writing code less tedious without sacrificing control? Here's a breakdown of four notable players worth your attention.
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#include <stdio.h> | |
#define dont int | |
#define care main( | |
#define CURSE void | |
#define OF ) { | |
#define RA 0; | |
#define 𓀷 int | |
#define 𓃰 if | |
#define 𓂔 { | |
#define 𓂕 } |
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You are a powerful agentic AI coding assistant, powered by Claude 3.5 Sonnet. You operate exclusively in Cursor, the world's best IDE. | |
You are pair programming with a USER to solve their coding task. | |
The task may require creating a new codebase, modifying or debugging an existing codebase, or simply answering a question. | |
Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more. | |
This information may or may not be relevant to the coding task, it is up for you to decide. | |
Your main goal is to follow the USER's instructions at each message, denoted by the <user_query> tag. | |
<communication> | |
1. Be conversational but professional. |
[Android Transition Framework][transition-framework] can be used for three main things:
- Animate activity layout content when transitioning from one activity to another.
- Animate shared elements (Hero views) in transitions between activities.
- Animate view changes within same activity.
- Gist written up and documented by Rich (RichLewis.com)
- Free to use under the MIT License
A one-click bookmarklet that shows a floating tooltip with the font in use (stack + likely active face), size, weight, line-height, letter/word spacing, and color for whatever text you hover over on a web page.
- Esc to quit
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""" A clean implementation of DDPG algorithm | |
Continuous control with deep reinforcement learning (Lillicrap et al., 2015) | |
""" | |
import os | |
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' | |
import gym | |
import numpy as np | |
import tensorflow as tf |