0xabad1dea

Risk Assessment of GitHub Copilot

0xabad1dea, July 2021

this is a rough draft and may be updated with more examples

GitHub was kind enough to grant me swift access to the Copilot test phase despite me @'ing them several hundred times about ICE. I would like to examine it not in terms of productivity, but security. How risky is it to allow an AI to write some or all of your code?

Ultimately, a human being must take responsibility for every line of code that is committed. AI should not be used for "responsibility washing." However, Copilot is a tool, and workers need their tools to be reliable. A carpenter doesn't have to

samjarrett

def paginate(method, **kwargs):
      client = method.__self__
      paginator = client.get_paginator(method.__name__)
      for page in paginator.paginate(**kwargs).result_key_iters():
          for result in page:
              yield result

# usage:
import boto3

carolynvs

[alias]
  wip = for-each-ref --sort='authordate:iso8601' --format=' %(color:green)%(authordate:relative)%09%(color:white)%(refname:short)' refs/heads
  

mbarneyjr

export $(aws sts assume-role --role-arn arn:aws:iam::$TARGET_ACCOUNT_ID:role/ci-access --role-session-name ci --output text --query "[['AWS_ACCESS_KEY_ID',Credentials.AccessKeyId],['AWS_SECRET_ACCESS_KEY',Credentials.SecretAccessKey],['AWS_SESSION_TOKEN',Credentials.SessionToken]][*].join(\`=\`,@)")

althonos

# https://gist.github.com/althonos/6914b896789d3f2078d1e6237642c35c

[metadata]
name = {name}
version = file: {name}/_version.txt
author = Martin Larralde
author_email = [email protected]
url = https://github.com/althonos/{name}
description = {description}
long_description = file: README.md

shortjared

a4b.amazonaws.com
access-analyzer.amazonaws.com
account.amazonaws.com
acm-pca.amazonaws.com
acm.amazonaws.com
airflow-env.amazonaws.com
airflow.amazonaws.com
alexa-appkit.amazon.com
alexa-connectedhome.amazon.com
amazonmq.amazonaws.com

stevenringo

Sessions

Code	Title	Duration	Link
Keynote	Andy Jassy Keynote Announcement Recap	0:01	https://www.youtube.com/watch?v=TZCxKAM2GtQ
Keynote	AWS re:Invent 2016 Keynote: Andy Jassy	2:22	https://www.youtube.com/watch?v=8RrbUyw9uSg
Keynote	AWS re:Invent 2016 Keynote: Werner Vogels	2:16	https://www.youtube.com/watch?v=ZDScBNahsL4
Keynote	[Tuesday Night Live with Jame

padajo

Internet Scale Services Checklist

A checklist for designing and developing internet scale services, inspired by James Hamilton's 2007 paper "On Desgining and Deploying Internet-Scale Services."

• http://mvdirona.com/jrh/talksandpapers/jamesrh_lisa.pdf

An update by Paul Johnston ([email protected]), for a Serverless Architecture scenario. This assumes something akin to AWS Lambda + API Gateway + DynamoDB (c. 2016) Function as a Service (FaaS) solution as the basis for deployment rather than a cloud-based virtual server approach which the original paper was based upon. The FaaS solution implies each function is separately scalable and the database is inherently partitioned (assuming designed/built well).

If you agree/disagree, please fork and share with me on twitter @pauldjohnston.

leonardofed

A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

---

alirobe

### 
###
### UPDATE: For Win 11, I recommend using this tool in place of this script: 
### https://christitus.com/windows-tool/
### https://github.com/ChrisTitusTech/winutil
### https://www.youtube.com/watch?v=6UQZ5oQg8XA
### iwr -useb https://christitus.com/win | iex
###
###