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Perl 🐪 Weekly #713 - Why do companies migrate away from Perl?

The Perl Weekly newsletter editor discusses the trend of companies migrating away from Perl to languages like Rust or Python, seeking to understand the reasons behind such moves.
The editor is interested in learning about the motivations for switching from Perl and welcomes feedback from companies that have migrated away or are planning to migrate to Perl.
The newsletter includes various articles focusing on topics like CPANSec achievements, creating static mirrors, learning GitHub Actions, and more.
There are discussions on technical topics such as end block hijacking in Perl, programming as text creation, and Perl integration with 64-bit Office installs.
The article also covers the Weekly Challenge by Mohammad Sajid Anwar, inviting participants to engage in tasks like 'Equal Strings' and 'Sort Column' with a chance to win prize money.
Additionally, the newsletter highlights events in the Perl community, upcoming meetings, workshops, and conferences in locations like Paris, Munich, and South Carolina.
Overall, the Perl Weekly #713 provides insights into the Perl community's activities, technical discussions, and upcoming events within the Perl and Raku programming space.

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The Future of Software Development in the Age of AI Code Assistants

AI code assistants are users of existing technology stacks, not creators of new ones.
AI can optimize code within established patterns, but it hasn't demonstrated the ability to fundamentally innovate at the infrastructure level.
Developers should focus on their evolving role, which includes architecting solutions, understanding business domains, and translating complex requirements into AI-friendly instructions.
Human-AI collaboration is the most likely future of software development.

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Medium

222

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Perfection Is A Black Hole For Engineering Managers

Perfectionism is a hindrance for engineering managers as it is unattainable and slows down progress.
Setting realistic goals rather than chasing perfection is more effective in achieving results.
Chasing perfection leads to being stuck, much like a statue, and inhibits problem-solving.
Managing communication overload by prioritizing important tasks and not feeling the need to respond to every message helps in productivity.
Micromanaging due to perfectionism can hinder team performance and create a negative work environment.
Delegating tasks and trusting team members to work in their way, even if different, is essential to overcome perfectionism.
Setting realistic, SMART goals helps in achieving tangible results and moving projects forward effectively.
Recognizing perfectionist patterns and focusing on concrete facts rather than inner fears can help in overcoming the need for perfection.
Regular feedback sessions with the team provide insight into progress and maintain control without hindering growth.
Letting go of perfection and focusing on what matters ultimately leads to better team performance and personal growth for engineering managers.

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Medium

344

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The New Definition of Success: Happiness or Achievement?

Traditional success has been defined by achievements and recognition, but material accomplishments often come at a high price in terms of burnout and unfulfillment.
There is a shift in perspective, with more people prioritizing happiness and contentment over mere accomplishments to redefine success.
To balance achievement and happiness, individuals are encouraged to set meaningful, holistic goals, value time, practice gratitude, and listen to their hearts.
Real success is deeply personal and subjective, aligning efforts with dreams and finding peace and fulfillment in the process.

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Javacodegeeks

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Optimizing Firestore Queries for Large-Scale Applications

Firestore is a powerful NoSQL database from Firebase that provides real-time data synchronization and scalability.
Best practices include understanding Firestore's query model, indexing for efficient queries, optimizing query performance, leveraging real-time updates, and using aggregations and batching.
Queries should be carefully structured, necessary indexes should be created, pagination should be implemented with query cursors, and expensive queries should be minimized through data modeling and incremental queries.
Real-time updates can be optimized by using listeners on specific documents and fetching relevant data with where and orderBy clauses.

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Dev

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Can Blockchain and Cloud Work Together for Real-Time Logging? - HELP ME

Cloud logging system proposed using Hyperledger for real-time and secure logs without compromising performance or cost.
Architecture and Workflow: Cloud server generates logs → Logs are sent to Pub/Sub for processing → Critical logs hashed and stored in Hyperledger for tamper-proof storage → Non-critical logs sent to traditional logging for storage.
Advantages: 1) Speed and real-time performance with low latency. 2) Logs are tamper-proof and cryptographically secured using Hyperledger. 3) Fault tolerance and high availability with Pub/Sub buffering and Redis replication. 4) Scalability through horizontal scaling of Redis and adding more Hyperledger peers. 5) Unified monitoring with Grafana for centralized monitoring across all components. 6) Compliance and regulatory value for industries needing immutable logs.
Drawbacks: 1) High complexity due to multiple components. 2) Blockchain latency may affect real-time responsiveness. 3) Hyperledger storage costs at scale. 4) Limited scalability of Hyperledger. 5) Pub/Sub introduces message handling complexity.

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Dev

271

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.cursorignore file in Refine codebase, an OSS React framework

Refine is an open-source React framework to build internal tools.
The .cursorignore file is used in Refine to exclude files from AI features and indexing.
There is also a .cursorindexingignore file that controls only file indexing for search and context.
The purpose of the .cursorignore file is to prevent AI from accessing sensitive secrets and proprietary code.

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Dev

398

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Build AI Agent Memory From Scratch — Tutorial For Dummies

This guide explains AI memory in a simple way for beginners without a tech background, focusing on PocketFlow framework.
AI memory involves short-term memory for recent info and long-term memory for older info, using methods like embeddings and summaries.
PocketFlow provides basic tools for learning AI memory, with clear instructions and room for expansion at your own pace.
AI memory is compared to a note-taking system, using short-term and long-term memory with retrieval methods like embeddings and summaries.
Frameworks like LangChain offer tools like Conversation Buffer Window and Vector Store Retriever Memory for applying memory in AI systems.
The tutorial explains how to DIY memory from scratch using nodes like Question, Retrieve, Answer, and Embed in a self-loop flow.
Nodes like Question receive input, Retrieve searches archives, Answer generates responses, and Embed archives older conversations.
Connecting these nodes in a self-loop flow ensures the system continues to handle input, retrieve old info, and generate responses.
The guide also provides steps to run and test the code for a practical example of how AI memory would work in practice.
AI memory involves self-loop flows, shared stores, memory retrieval, and contextual responses to enable efficient recall and interaction.

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Medium

1.7k

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The Moore’s Law for Agent Autonomy: AI’s Exponential Revolution

In 1965, Gordon E. Moore made the bold observation that the number of transistors on a microchip doubles roughly every two years.
Moore's Law, a consistent trend in technological progress, has led to exponential growth in transistor counts over the decades.
Now, research shows that AI is following an even more aggressive exponential curve, with the length of tasks AI agents can reliably complete doubling every 7 months.

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Dev

403

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SSS Portfolio: A Developer’s Digital Showcase

SSS Portfolio is a developer's personal portfolio built using 10 components from Kendo React.
It includes sections such as Intro, About, Skills, Projects, and Contact.
The portfolio leverages Kendo React to create a smooth UI with animations and interactive elements.
The developer aims to integrate AI in the future to create a live chat section for recruiters.

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Dev

330

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Understanding Core OOP Concepts with Java: A Beginner’s Guide

Understanding Core OOP Concepts with Java: A Beginner's Guide
Classes and Objects: The Basics of OOP
Encapsulation: Keep It Safe
Inheritance: Share the Good Stuff

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Medium

416

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Logistic Regression in Machine Learning: A Simple Guide

Logistic Regression is a way to teach a computer to answer yes-or-no questions.
It helps in guessing whether the answer is 'Yes' or 'No'.
By providing examples, the computer learns to make predictions.
Logistic Regression provides a chance or probability of a certain outcome.

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25 Likes

Medium

226

The Dark Side of Notion: How to Avoid Over-Organizing and Actually Get Stuff Done

Avoid over-organizing Notion workspace and focus on getting things done.
Set a time limit for organizing and shift focus to actionable tasks.
Start with a basic setup and add complexity only when necessary.
Define clear goals, consolidate databases, and review setup regularly.

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Medium

285

How to Build a Notion Portfolio That Will Land You Your Dream Job

To build a compelling Notion portfolio for your dream job, focus on easy navigation and visual appeal.
Create a homepage with sections for resume, projects, testimonials, and contact information.
Use multimedia elements and metrics to showcase projects and demonstrate tangible results.
Highlight skills, values, and interests to connect with employers on a deeper level.

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TechBullion

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How to Learn Coding with Free Online Resources

Learning to code has become a vital skill in today's digital age, offering endless possibilities for career advancement and creativity.
Free online resources have revolutionized coding education, making it accessible to anyone with an internet connection and a drive to learn.
Platforms like Codecademy, Coursera, FreeCodeCamp, Khan Academy, and W3Schools offer diverse learning experiences for aspiring coders of all levels.
Online learning provides flexibility, cost-effectiveness, and a supportive global community, enhancing the educational journey.
Tips for successful online coding include setting clear goals, creating a consistent schedule, and engaging with online communities for support and collaboration.
To master coding, consistent practice is key. Starting with small projects and gradually tackling more complex tasks helps build skills and confidence.
Common challenges when learning online coding include lack of motivation, technical difficulties, and feeling overwhelmed by the vast amount of information.
Overcoming challenges involves establishing routines, seeking assistance from forums, and breaking down learning into manageable chunks.
Embracing a mindset of lifelong learning is essential in the ever-evolving tech industry, with continuous education being key to staying relevant.
By utilizing free online resources and maintaining a passion for learning, aspiring coders can embark on a fulfilling journey towards coding proficiency and career success.

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