#technicaldebt

[theagileoperator]

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/

[byteridge]

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.

[jonfazzaro]

“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.”

[weblozy-india]

Why AI Assistants Create Technical Debt: Writing Code Like It’s 2010.

Read our blog at

[cmetricsolution]

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.

[babystudentcomputer-world-blog]

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

[chigyaan]

#chigyaan #agile #technicaldebt #hope #nevergiveup #projectmanagement #productmanagement

[low-code-platform]

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. 

[theagileoperator]

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

[gfader]

Losing $460m in 45 minutes

Knight Capital Group

On August 1st, 2012, Knight Capital deployed a new software update to their production servers. At around 08:01AM, staff in the firm received 97 email notifications stating that Power Peg, a defunct internal system that was last used in 2003, was configured incorrectly.

This was the first warning sign.

The damage

At 09:00AM, the New York Stock Exchange opened for trading, and Knight Capital’s first retail investor of the day placed an instruction to buy or sell their investment holdings.

Just 45 minutes later, Knight Capital’s servers had executed 4 million trades, losing the company $460 million and placing it on the verge of bankruptcy. Some shares on the NYSE shot up by over 300%, as High Frequency Trading algorithms from other firms exploited the bug.

Ultimately, Knight Capital was fined an additional $12 million by the Securities Exchange Commission, due to various violations of financial risk management regulations.

Cause of failure

The cause of the failure was due to multiple factors. However, one of the most important was that a flag which had previously been used to enable Power Peg was repurposed for use in new functionality. This meant the program believed it was in a test environment, and executed trades as quickly as possible, without caring about losing the spread value.

Secondly, the dev-ops team failed to deploy the updated program to one of the eight production servers. This server now had an outdated version of the software, and a flag stating that Power Peg should be enabled.

Finally, Power Peg had been obsolete since 2003, yet still remained in the codebase some eight years later. In 2005, an alteration was made to the Power Peg code which inadvertently disabled safety-checks which would have prevented such a scenario. However, this update was deployed to a production system at the time, despite no effort having been made to verify that the Power Peg functionality still worked.

Dead code

Many other factors were highlighted by the Security Exchange Commission’s report. The most damning factors are that there was no formal code review or QA process, and that processes were not in place to check that software had deployed correctly. Additionally, no pre-set capital thresholds were in place to stop automated trading after a certain amount of losses.

[jonfazzaro]

"An untended garden will be overwhelmed by weeds."

[swethanconsulting-blog]

Why #technicaldebt can be as insidious as #financialdebt⠀ https://buff.ly/2LVoom5 https://www.instagram.com/p/B0DWSCeH0ci/?igshid=uz10hfsazhy6