#technicaldebt
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Explore why technical debt can be a strategic choice. Embrace its potential benefits and manage its long-term impacts wisely.
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A 3rd Dimension For Tech Debt -> And The Types Of Debt it creates
Pain / Impact
Cost
Contagion (I call this the blast radius, in architecture terms)
The third axis is something I’ve become obsessed with: contagion. If this tech debt is allowed to continue to exist, how much will it spread? That spreading can result from other systems interfacing with the afflicted system, from copy-pasting data built on top of the system, or from influencing the way other engineers will choose to implement new features.
If a piece of tech debt is well-contained, the cost to fix it later compared to now is basically identical. You can weigh how much impact it has today when determining when a fix makes sense. If, on the other hand, a piece of tech debt is highly contagious, it will steadily become harder and harder to fix. What’s particularly gross about contagious tech debt is that its impact tends to increase as more and more systems become infected by the technical compromise at its core.
From: https://technology.riotgames.com/news/taxonomy-tech-debt
Types of Debt
Local Debt
MacGyver Debt
Foundational Debt
Data Debt
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When measuring a piece of tech debt, you can use impact (to customers and to developers), fix cost (time and risk), and contagion. I believe most developers regularly consider impact and fix cost, while I’ve rarely encountered discussions of contagion. Contagion can be a developer’s worst enemy as a problem burrows in and becomes harder and harder to dislodge. It is possible, however, to turn contagion into a weapon by making your fix more contagious than the problem.
Working on League, most of the tech debt I’ve seen falls into one of the 4 categories I’ve presented here. Local debt, like a black box of gross. MacGyver debt, where 2 or more systems are duct-taped together with conversion functions. Foundational debt, when the entire structure is built on some unfortunate assumptions. Data debt, when enormous quantities of data are piled on some other type of debt, making it risky and time-consuming to fix.
I hope this post helps provide some useful terms for thinking about and discussing tech debt. Hit the comments below if you have questions or wisdom about how to deal with tech debt.
From: https://technology.riotgames.com/news/taxonomy-tech-debt
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Understanding technical debt is crucial for SaaS growth! 🚀
Dive into the impact it can have on your business strategy and development process. Knowledge is power!
https://bit.ly/4bpwUlx
Visit us: https://agile-operator.com/
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Technical debt is like a shadow that looms over many businesses, slowing progress and hindering innovation. The debt accumulates when teams opt for workarounds or shortcuts in the product development process, leading to costly modifications and complexities in the future.
While the average organization loses 23-42% of its development time dealing with technical debt, CIOs across enterprises report 10-20% of their technical budget diverted to fixing technical debt issues.
Legacy modernization is a practical solution to this challenge.
Companies prioritizing IT infrastructure modernization efforts have seen a significant reduction in technical debt, leading to improved productivity and profitability. By updating systems and processes, businesses can reduce technical debt, streamline operations, and enhance agility.
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#technicaldebt#economicimpactoftechnicaldebt#economicimpact#recurringcosts#oppurtunitycosts#hiringcosts
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“The whole debt metaphor depends upon you writing code that is clean enough to be able to refactor as you come to understand your problem.”
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Why AI Assistants Create Technical Debt: Writing Code Like It’s 2010.
Read our blog at
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How to Identify and Manage Tech Debt in Software Development
Just like financial debt, technical debt is a part of life whether you are a software developer or a software development company. A tech or technical debt can lead to your downfall if not handled on time. In the write-up below, let’s explore what causes technical debt and how to identify, measure and manage technical debt in software development.
What is Technical Debt in Software Development?
Let’s start the post by knowing the meaning of ‘Tech Debt.’ In layman’s terminology, tech debt or technical debt is when a software project gets delayed in development, and the developer prioritizes early delivery over code quality at that time, the product will experience technical debt in software development.
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Ultimate Guide to Reality Engineering Code Reviews: Best Practices & Tips for Optimal Performance
Click here to learn : https://tinyurl.com/RealityEngineering Discover the essential techniques for effective Reality Engineering code reviews in our comprehensive guide. Learn how to enhance code quality, optimize performance, and ensure robust simulations with top industry practices. This video covers best practices, common pitfalls, and actionable tips to elevate your code review process. Perfect for developers and engineers involved in creating advanced simulations and virtual environments. Watch now to master Reality Engineering code reviews and improve your project's success! Click here to learn : https://tinyurl.com/RealityEngineering Reality Engineering Code Reviews Code Review Best Practices Software Quality Assurance Performance Optimization Simulation Development Virtual Environments Code Review Tips Software Development Debugging Techniques Code Review Tools Engineering Simulations Code Consistency Security in Software Development Technical Debt Management Tags: Reality Engineering Code Reviews Code Quality Performance Optimization Simulation Engineering Virtual Reality Development Software Engineering Debugging Code Review Best Practices Development Tips Software Security Technical Debt Engineering Best Practices Code Documentation Software Performance Hashtags: #RealityEngineering#CodeReviews#SoftwareQuality#PerformanceOptimization#SimulationDevelopment#VirtualEnvironments#CodeReviewTips#SoftwareDevelopment#Debugging#CodeReviewTools#EngineeringSimulations#CodeConsistency#SoftwareSecurity#TechnicalDebt#CodingBestPractices
#Reality Engineering#Code Reviews#Code Review Best Practices#Software Quality Assurance#Performance Optimization#Simulation Development#Virtual Environments#Code Review Tips#Software Development#Debugging Techniques#Code Review Tools#Engineering Simulations#Code Consistency#Security in Software Development#Technical Debt Management#Youtube
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The Hidden Costs of Ignoring Technical Debt #sonos
Sonos Hardware is excellent. Software impedes Hardware sales :/ Basic features are not usable anymore :/
Earlier this year, Sonos, the well-known premium audio company, faced a major crisis after the disastrous launch of its updated app in May 2023. As reported by Bloomberg, the release was one of the most problematic in recent memory, leading to a projected $200 million shortfall in the company’s annual revenue target. The issues stemmed from long-standing technical debt—a common problem in many software companies that, if left unchecked, can result in significant damage.
According to Bloomberg, Sonos had been grappling with legacy code for years. The company's app, which allows customers to manage and set up their speakers, was built on outdated infrastructure that had been repeatedly patched and modified over two decades. When Sonos finally embarked on a full revamp of the app in mid-2022, it became clear that much of the work involved untangling the existing code rather than introducing new functionality. The overhaul was driven by the impending release of Sonos Ace, the company’s first fully mobile product that doesn’t rely on home or office Wi-Fi.
The urgency to launch Sonos Ace, combined with pressure from investors, led to the company releasing the app before it was ready. As Bloomberg reports, critical bugs were left unresolved, and some functionalities were missing entirely. In the weeks following the launch, customer complaints surged, and Sonos’ reputation took a severe hit. The company's CEO, Patrick Spence, later admitted in a video message to staff, “We fully intend to enshrine the lessons coming out of this difficult chapter,” acknowledging the missteps that occurred, as detailed in Bloomberg’s coverage.
This incident is a glaring example of how technical debt, if allowed to accumulate, can snowball into a major crisis. via https://www.mimrr.com/blog/sonos-app-failure-the-hidden-costs-of-ignoring-technical-debt Personal Update from the CEO https://www.sonos.com/de-ch/blog/update-on-the-sonos-app
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Technical debt is the topic nobody wants to talk about. Is the emergence of AI an opportunity or a threat as it relates to this problem? How does your technical debt impact your growth and innovation?
Key Takeaways:
Technical debt, accumulating from outdated systems and quick fixes, poses significant security risks and stifles innovation.
The cost to address technical debt is estimated at $1.52 trillion, with broader impacts costing the U.S. $2.41 trillion annually.
The emergence of AI in software development might worsen technical debt by encouraging rapid, less optimized coding practices.
Strategies to mitigate technical debt include prioritizing system maintenance over new developments and employing AI for code analysis and updates.
Addressing technical debt is crucial for both economic efficiency and national security.
https://on.wsj.com/3QUZtQl
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#chigyaan #agile #technicaldebt #hope #nevergiveup #projectmanagement #productmanagement
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Technical debt occurs when software development and execution decisions clash with business objectives and timelines, which is why it is almost unavoidable in any firm. If you don’t release your software or project till every line of code is flawless, your project may never get off the ground, and your company will most likely be close to the end.
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"An untended garden will be overwhelmed by weeds."
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