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@joe
EP 44: Sid Sijbrandij (Founder/CEO, GitLab) - Corporate Transparency, Open Source Philosophy, Remote Work and Global Talent Pools
GitLab's Guide to All-Remote Work
AI Key Takeaways
- GitLab has over 1,500 employees and has been successful in running a remote company.
- The company has created a shared reality for its team members by being diligent about not duplicating information, and by varying its management style.
@ferdinand
A conversation with the folks building Google's AI models
Best Practices for AI-Assisted Code Generation
AI Key Takeaways
- Best practices for responsibly generating and using AI assisted code should prioritize reviewing and vetting code instead of blind copying and pasting.
- Recursively applying large language models to code outputs can help ensure that generated code is bug-free, performant, and fast.
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@jitpackjoyride
Your testing questions answered
Being Motivated to Write Tests in Teams That Don't Force Unit Testing
AI Key Takeaways
- Make it easy to add tests after finishing a feature
- Test driven development is not always necessary
- Exploratory work often doesn't require test driven development
@joe
Culture & Methods Trends in 2023
Improving Communication between Enterprise Architects and Development Teams
AI Key Takeaways
- Enterprise architecture used to be viewed as overhead and ruled by decree in large enterprises
- A hypothesis was made that enterprise architecture groups were generally ineffective due to a lack of shared understanding about success
- Enterprise architects need to have a shared understanding of success with the rest of the organization
@joe
Culture & Methods Trends in 2023
ChatGPT: "How to be Wrong and Strong!"
AI Key Takeaways
- Chat GPT has a tendency to confidently give incorrect answers
- Subtle mistakes are common in code generation with chat GPT
- Chat GPT has guardrails that prevent it from discussing certain topics
@mart
Working Effectively with Legacy Code • Michael Feathers & Christian Clausen
Strategies for managing legacy code; local changes have global consequences
AI Key Takeaways
- Systems can be broken down into particular pieces and shapes which may require building bigger things around them.
- Breaking apart responsibilities in legacy code requires support from the outside of a test.
- Encapsulation can help limit the non-local effects of legacy code changes.
@joe
Building an API is half the battle
Managing API Load with Gateways and Service Meshes
AI Key Takeaways
- API gateways and service meshes are critical to managing the massive API load generated by microservices
- API management allows us to productize and create highways to the consumption of the API externally or internally
- Service mesh allows for a more fine-grained, lower level management of the underlying networking and enables observability and cross-cloud failovers
- A combination of API management and service mesh is necessary to manage both internal and external API consumption and ensure secure, reliable networking
@joe
Driving alignment and urgency within teams, work-life balance, and the changing PM landscape | Nikita Miller (The Knot, Trello)
Help Your Team Deliver More Output
AI Key Takeaways
- The amount of time and resources put into big bets versus optimizations depends on the specific business.
- Helping a team recognize they're not delivering as much output as expected can be done by asking simple questions about what was delivered in a given sprint.
@joe
Platform Engineering 101: Takeaways from Building Internal Tools at HubSpot
What's the Best Way to Get Results From a Platform?
AI Key Takeaways
- A ticket base system or a centralized slack channel can be used to handle requests and questions.
- Using a product like Muac can help in vetting and prioritizing requests.
- Teaching teams how to engage with the platform team can lead to better results.
@bobbyhiddn
INTERCAL by Donald Woods & James Lyon
How to Introduce a Programming Language
AI Key Takeaways
- The paper discussed in the podcast is unusual and messes with the typical formula of what a paper should be
- The programming language discussed in the paper is both serious and absurd
- The paper includes an ASCII art table with logical operators positioned on it
- The hosts consider changing the podcast format to accurately portray the weirdness of the paper
- The Intercal language was created with the ambition of having nothing in common with any other major language or podcast
@mart
How to measure and improve developer productivity | Nicole Forsgren (Microsoft Research, GitHub, Google)
The Key Capabilities for Successful Deployment; Metrics w/o Capabilities Make You Feel Bad
AI Key Takeaways
- Deploy more than once a day, have on-demand deploy frequency, mean time to failure rate less than 10%, mean time to recovery less than an hour
- DevOps is not just a tool chain, but a set of technical, architectural, cultural, and lean management capabilities
- Improving technical capabilities like automated testing and CI/CD leads to speed and stability
@joe
Commit to something big: all about monorepos
Mono- vs Poly-Repo Structures in Companies
AI Key Takeaways
- Developers need to be flexible when it comes to using Monoripos, as different parts of the Monoripo can be used in different ways depending on the company's needs.
- Security and compliance considerations can be more challenging when Monoripos are implemented in a polyribo format.
@joe
The Cloudflare mTLS vulnerability - A Deep Dive Analysis
Solving the Problem of Certificate Revocation Status with Lists and OCSP Servers
AI Key Takeaways
- Revocation is a challenging issue to solve in certificate management.
- A solution to revocation is to use a list of revoked certificates, which quickly became unmanageable.
- The Online Certificate Status Protocol (OCSP) server was developed to enable clients to ping a server rather than maintain a list of revoked certificates.
- The OCSP server has the potential to know every website a client has visited, creating privacy concerns.
@ferdinand
FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96
Type Annotations for Tensor Dimensions in Python
AI Key Takeaways
- A new way to define type annotations for indimensional tensors has recently been accepted as part of Python language.
- Definition of the sizes and erasure of tensors can be part of the typing information using this new method.
- This new acceptance allows libraries like numpy, pytorch, and tensorflow to add type annotations with the defined information.
- Type annotations will provide in-line errors in editors while performing operations like matrix multiplication.
@DandyLyons
275: What's New In This Version
How to host videos in your app
AI Key Takeaways
- I've mostly settled on hosting videos on CloudFlare using their file server CDN
- CloudFlare is relatively inexpensive for hosting videos because it doesn't charge based on bandwidth
- Dynamic bit rate videos can be hosted on a plain web server without any fancy setup
@alyatama
Episode 491: Unveiling the Power of Artificial Intelligence in Project Management (Free)
Is AI in project management really a game changer?
AI Key Takeaways
- It is too early to declare AI in project management as a game changer.
- Previous trends in IT project management have not lived up to the hype.
- There is skepticism about the potential impact of AI in this field.
@DandyLyons
546: Re-Crop With the Wisdom of Age
Apple Soon to Require Justification for the Use of User Defaults API in iOS App Groups
AI Key Takeaways
- Some APIs are now classified as quote required reason APIs, meaning developers must describe the purpose of the API to Apple.
- The measure aims to crack down on fingerprinting, which is a technique for tracking users across different apps.
- User defaults is a standard place to store preferences and settings on iOS and Mac OS.
- Developers must now provide a valid reason code for using user defaults.
- The provided reason code for user defaults does not cover all use cases, such as shared user defaults between two apps.
- Developers can submit a form to Apple to request approval for using APIs that are not covered by existing reasons.
- The form requires developers to describe their use case and explain why alternatives to the restricted API category cannot be used.
- The use case must directly benefit users and not involve sending information off the device.
@franz
DOP 9: What Is The Maturity Level Of Your Continuous Deployment?
Challenging policies and legal requirements in organizational decision-making
AI Key Takeaways
- Two types of people in companies: those who resist change and those who embrace it. Culture can often create barriers for those who want to experiment and try new things. In companies where the culture favors the status quo, those who want to change may find it easier to leave than to keep fighting. This can lead to a lack of talent and innovative thinking. Similarly, in countries with difficult economies, educated individuals often emigrate, leaving behind a stagnant pool of talent.
@DandyLyons
273: Backpack-Driven Development
How to do R&D as an indie developer
AI Key Takeaways
- And it works really well for me. So it's like one of those like, take it or leave it.
- Your mileage may vary.
- WDC is like a visitor center that shows you pictures and talks about features but doesn't provide guidance or take you on the journey.
- Exploring new features without preconceived notions can lead to unexpected discoveries.
- Gathering information and trying different paths is valuable in the early stages of development.
- Going down the wrong path can lead to new ideas and better approaches.
- The 'backpack driven development' approach involves exploring various ideas and technologies before deciding what to build.
- Don't assume that you know where you're going or how to build a feature the correct way.
- Learn from past mistakes and continuously improve one's development approach.
@DandyLyons
Type War (what is it good for?)
Why the Software Industry Is So Tribal
AI Key Takeaways
- TypeScript has been popular since around 2015 and has seen significant growth in the programming community in the last five years.
- The industry is constantly seeing new people entering, and many of them start with TypeScript, leading to an identity problem where individuals strongly identify as TypeScript developers.
- The strong identification with a particular tool can lead to polarization and an 'us vs them' mentality when discussing different tools.
- It is important to generalize and not tightly identify with specific tools, as tools have trade-offs and a shelf life.
- Having discussions about the trade-offs of different tools should not involve personal attacks or diminishing someone's identity as a developer.
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