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Building an Agentic Developer Experience with Cursor

Why the Future of Developer Experience Is Agentic

The traditional developer experience is built around dashboards, documentation, and manual workflows -- the developer is the executor. In an agentic paradigm, the developer becomes the architect: defining intent, reviewing outcomes, and steering autonomous agents that do the building. Three forces make this inevitable:

1. Context windows are now large enough to hold entire subsystems, making multi-file reasoning feasible.
2. Tool-use and function-calling have matured -- models can reliably invoke external APIs, run terminals, edit files, and iterate against feedback loops (tests, linters, type-checkers).
3. The cost curve is collapsing -- separating planning (expensive, high-intelligence model) from execution (fast, cheap model) makes agentic workflows economically viable at scale.

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# ECR Image Inventory Script

A comprehensive Python tool for analyzing Docker images in Amazon ECR repositories, showing which images are currently in use by ECS services and which are candidates for cleanup.

## 🎯 Purpose

Managing ECR repositories can be challenging when you have multiple services and frequent deployments. This script helps you:

- **Identify which images are actively used** by ECS services and task definitions
- **Find cleanup candidates** based on age and usage patterns

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#!/usr/bin/env python3
"""
ECR Image Inventory and Cleanup Script for AWS ECS Environments

A comprehensive tool for analyzing Docker images in Amazon ECR repositories,
showing which images are currently in use by ECS services and which are 
candidates for cleanup. Now includes safe garbage collection functionality.

Features:
- Analyzes ECS services, task definitions, and CodeDeploy deployments

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brew install apache-spark
python3 -m venv .venv
source .venv/bin/activate
pip install pyspark

Then update your hostname in /etc/hosts.

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import sys
import subprocess
import requests
import os

# The purpose of this script is to find look for unmounted volumes, and mount them. If a volume is unitialized, it
# will initialize as ext4.
#
# The simplest way to run this is via cron. Use the following crontab entry
#

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Mouting an Image for Modifications

Mount the image. If the iamge is QEMU QCOW2 image, do the following.

sudo modprobe nbd max_part=63
sudo qemu-nbd -c /dev/nbd0 ~/precise-server-cloudimg-amd64
sudo mount /dev/nbd0p1 /mnt/myimage

Then you can change image contents from /mnt/myimage, or through chroot /mnt/myimage. Add a /var/lib/cloud/scripts/per-instance script to this image.

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1. Multi-factor authentication for Keystone

• Define an API extension to Keystone
• Inject an API extension into Keystone
• Create a default implementation
• Write unit tests
• Extend the CLI
• Add an extension to Horizon

2. Access keys for Keystone including the user experience

• Define an API extension to Keystone
• Inject an API extension into Keystone

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OpenStack

OpenStack is one of the largest and leading open source projects to build and operate public or private clouds. OpenStack provides a set of APIs for provisioning and managing basic cloud constructs like compute (virtual machines), network (shared or private networks, floating IPs, load balancers etc.), and storage (block and object storage) along with additional layers to build and operate on-demand self-service cloud platforms. OpenStack is used now-a-days by several public cloud providers such as Rackspace, HP as well as by many organizations to provide on-premise private clouds.

Contributing to this project will give developers, first, an opportunity to learn the fundamental building blocks of cloud, the challenges of operating at scale, and second, how to collaborate in a distributed setup to build open source software.

Objectives

Short term objective of this project is to to setup a working OpenStack deployment on a virtual machine and then use OpenStack APIs or command-line interfaces

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user_pref("network.http.pipelining", true);
user_pref("network.http.pipelining.aggressive", true);
user_pref("network.http.pipelining.maxrequests", 6);

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diff --git a/lib/monitor.js b/lib/monitor.js
index a47bd7e..e4a0f1d 100644
--- a/lib/monitor.js
+++ b/lib/monitor.js
@@ -28,8 +28,7 @@ var Monitor = module.exports = function Monitor(options) {
     this.options = options || {port: 8081, stats: {}, path: '/'};
     this.stats = this.options.stats;
 
-    var app = express.createServer();
-