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Medium

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Product Operations: Why we shook things up and created it

  • Product Operations is a trending discipline in Product Management, adopted by companies like Google and Amazon.
  • Product Ops focuses on providing essential inputs to set strategy and enhance ways of working for Product Managers.
  • It aims to support Product Managers in making data-driven decisions and shipping customer-loved products.
  • Product Ops is likened to what DevOps is to Software Engineers.
  • At FreeAgent, a dedicated Product Ops team was created to improve efficiency in decision-making and product delivery.
  • The Product Ops team redirects Product Manager capacity towards enhancing systems and ways of working.
  • The mission of the Product Ops Team at FreeAgent is to enable good decision-making and fast product delivery.
  • They aim to add value by analyzing data sources and helping product teams identify significant opportunities.
  • The team also focuses on streamlining processes across planning, reporting, and the product life cycle.
  • By reducing friction and improving efficiency, Product Ops helps Product Managers save time and deliver customer-centric products.

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Medium

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Fire Your Dev Team: Vibe Coding is All You Need

  • Vibe Coding, as defined by Andrej Karpathy, involves interacting with an AI agent to describe what you want to build.
  • Several 'one-shot' style builder apps like Lovable.dev, v0.dev, and bolt.new are already available.
  • Cursor, a full IDE, provides more control over the code for those seeking additional access and control.
  • One can easily add more functionality to websites using natural language input and one-shot requests.
  • Vibe Coding allows quick feature creation, A/B testing, AI implementation, and rapid prototyping.
  • The potential of Vibe Coding is limited only by imagination, enabling rapid development of features.
  • AI will likely assist in codebase maintenance, refactoring, and debugging in the future.
  • Security concerns like exposing vulnerabilities and exploits are a challenge with Vibe Coding.
  • Cursor can now generate images, interact with databases, and read console logs using the Model Context Protocol (MCP).
  • The rise of 'all-in-one' Vibe Coding apps could revolutionize industries and disrupt businesses.
  • Product Managers are encouraged to explore Vibe Coding to enhance their impact and value in businesses.
  • Anticipations include a billion-dollar product arising from Vibe Coding and a surge in such apps due to their potential success.

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Development Guidelines: A Democratic Approach to Software Development

  • Development Guidelines, known as SOK Development Guidelines, are used to align ways of working in an organization.
  • The guidelines are not limiting, but instead create a community of practice where knowledge is shared and changes are suggested and workshopped.
  • Voting meetings are held to decide whether the suggested guideline should be added to the main document.
  • Teams use measurements, such as heatmaps, to track progress and identify areas for discussion and improvement.

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Infoq

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Project Leyden Ships Third Option for Faster Application Start with JEP 483 in Java 24

  • In Java 24, JEP 483 from Project Leyden promises up to 40% faster application start without code changes.
  • It introduces Ahead-of-Time Class Loading & Linking to create an AOT cache for faster startups.
  • The AOT cache is built after a training run and benefits applications with significant class loading.
  • JEP 483 aims to enhance Java's Class-Data Sharing and improve JVM startup time and performance.
  • GraalVM Native Image offers faster startup, lower RAM usage, and better security but with constraints.
  • Project CRaC takes a memory snapshot for restore, with security risks and limited support.
  • Project Leyden's goal is to optimize Java startup time, but initially focused on JIT compiler over static images.
  • Frameworks like Quarkus and Spring are evaluating support for JEP 483 for faster startup times.
  • Helidon SE and MP showed speed-ups with JEP 483, GraalVM, and CRaC implementations.
  • Quarkus fully supports JEP 483 and plans to address challenges like memory consumption and custom class loaders.
  • Spring is enthusiastic about the benefits of Project Leyden and expects further improvements in future Java versions.
  • JEP 483 is a significant development in optimizing Java applications and frameworks like Quarkus and Spring are actively exploring its benefits.

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Medium

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AI Will Expose Bad Product Owners — Brutally

  • AI-generated backlogs can lead to chaos and inefficiency in product development.
  • A bad Product Owner blindly follows AI predictions and doesn't understand the user stories.
  • Unclear requirements, random feature creep, and excessive meetings result from AI-driven priorities.
  • The real problem lies in bad product thinking, not AI itself.

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The End of Passwords? How Decentralized Identity is Revolutionizing Online Privacy

  • Decentralized Identity (DID) is revolutionizing online privacy, allowing individuals to own and manage their personal data without intermediaries.
  • DID uses blockchain and cryptographic keys to give individuals full control over their digital identities, functioning as a digital passport.
  • Key features of Decentralized Identity include self-sovereign identity, blockchain-based verification, verifiable credentials, and selective disclosure.
  • By eliminating centralized databases, DID reduces the risk of data breaches, minimizes corporate surveillance, and makes it harder for fraudsters to succeed.

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TechBullion

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Building the Future: Innovations in AI Software Development

  • AI integration in software engineering has revolutionized application design, development, and maintenance, improving efficiency and reliability.
  • AI-driven business automation has cut costs, enhanced productivity, and improved decision accuracy in various industries.
  • AI-driven decision-making has improved data analysis, predictive analytics, and strategic decision-making with high accuracy.
  • Advancements in AI infrastructure, cybersecurity, NLP, computer vision, and scalability have further expanded AI's applications and capabilities.

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Medium

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Vibe Coding: The Future of Software Development and Product Innovation

  • Vibe coding is an emerging approach to software development in which AI-powered tools assist in building applications with minimal manual coding.
  • Vibe coding is like having a senior software developer partner, enabling the creation of MVPs and idea iteration in minutes.
  • MVPs can now be built in hours instead of weeks, lowering the barrier for non-technical teams.
  • Vibe coding has the potential to automatically generate fully structured applications, revolutionizing product development.

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Medium

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Mastering Primitive Collections in EF Core 8 & .NET 9: A Complete Beginner’s Guide

  • EF Core 8 introduces the feature of primitive collections, allowing developers to store collections of primitive types directly in entity properties without needing separate tables.
  • Primitive collections work by storing values directly in a single column using JSON serialization, simplifying and speeding up database queries.
  • To configure primitive collections in your project, you need to use the HasConversion() method in the entity configuration.
  • Using primitive collections in EF Core 8 is a best practice for handling collections of primitive values, with the limitation of relying on JSON serialization.

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Medium

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From Developer to Product Manager: Expanding Beyond Code

  • Transitioning from a Web Developer to a Product Manager.
  • Thinking like a developer can be advantageous in collaborating with other teams and identifying pitfalls.
  • Developing empathy for end users is a crucial skill for Product Managers.
  • Prioritizing user needs, engaging with teams, and driving measurable value are important aspects of product management.

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Medium

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How AI is Shaping the Future of Work: Insights and Opportunities

  • AI is revolutionizing automation, going beyond routine tasks to handle complex jobs involving decision-making and problem-solving.
  • AI is personalizing work experiences by using data to understand individual preferences and optimize productivity.
  • AI is transforming collaboration by enabling better communication, language translation, and virtual meeting assistance.
  • As AI takes over repetitive tasks, the skills required for success are shifting towards creativity, adaptability, and emotional intelligence.

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Medium

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Understanding .NET Performance with Benchmark.NET: A Comprehensive Breakdown of Each Metric

  • Mean = 4.548 ms: Represents the average measured time per iteration.
  • StdErr = 0.026 ms (0.58%): Denotes the uncertainty in the estimated mean.
  • N = 65: Indicates the number of valid measurements used for analysis.
  • StdDev = 0.212 ms: Measures the deviation of individual data points from the mean.

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Medium

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Precise Validation Testing with Laravel’s assertOnlyJsonValidationErrors Method

  • Laravel now provides a more precise method for validation testing.
  • This single assertion verifies specific validation errors and detects unexpected errors.
  • The new method improves testing by catching subtle validation bugs.
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Rate Limiting Algorithms and Custom Implementation in .NET Core Web API

  • Rate limiting is a technique used to control the number of requests a client can make to a server within a specified timeframe.
  • The fixed window algorithm and sliding window algorithm are two common rate limiting algorithms.
  • The fixed window algorithm enforces a limit on requests within predefined time intervals, while the sliding window algorithm maintains a rolling count of requests over a defined time span.
  • Concurrency limiting is another rate limiting approach that restricts the number of simultaneous active requests.

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Medium

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Lessons Learned: Developing Figma, Notion, or Linear-style Software

  • The Paper Cut Problem: The author describes their experience with product quality and polish issues in their startup.
  • Challenges Faced: The author discusses the struggle of deciding whether to divert resources to solve minor problems and the difficulty in documenting and distributing the necessary improvements.
  • Engineering Pushback: The engineers did not like the sparse card approach used to address the paper cuts, which led to a slowdown in development.
  • Card Generation Solution: The author shares their successful experience using a card generator in ChatGPT to turn natural language or 'lazy requirements' into high-quality, formatted cards.

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