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Introducing Trace.js – A Lightweight jQuery based Text Highlighter Plugin - Related to a, setting, lightweight, based, notes

CKA Certification Notes (WIP)

CKA Certification Notes (WIP)

I love working in small, autonomous, and focused teams to build high-quality software using the best tools available.

Psychological safety isn’t about fluffy “niceness” — it is the foundation of agile teams that innovate, adapt, and deliver.

Now that we have per-car images, we need to find license plates. License plates might not be present, or might be otherwise difficult to fin......

In my projects, I aim to push the boundaries of conventional web design, incorporating advanced animations, responsive layouts, and dynmic fea......

Introducing Trace.js – A Lightweight jQuery based Text Highlighter Plugin

Introducing Trace.js – A Lightweight jQuery based Text Highlighter Plugin

[website] is a lightweight jQuery plugin for highlighting words or phrases inside HTML elements.

✅ Supports case-sensitive and case-insensitive searches.

and searches. ✅ Highlights full or partial matches .

✅ Zero dependencies! Just jQuery required.

in the recent past, one of my junior developers needed to highlight a word inside a list of paragraphs dynamically. This gave me an idea what should I build next.

npm i trace-text-highlighter Enter fullscreen mode Exit fullscreen mode.

Enter fullscreen mode Exit fullscreen mode.

$( "#content" ) .trace ({ match: "highlight" , // Word to highlight color: "yellow" , // Highlight color ( default: yellow ) traceType: "full" , // Only highlights full words ( default: partial ) caseSensitive: true // Enables case -sensitive matching. ( default: false ) }) ; Enter fullscreen mode Exit fullscreen mode.

🔹 Search Result Highlighting – Highlight user search queries dynamically.

🔹 Content Emphasis – Highlight key terms in articles or documentation.

🔹 Live Text Filtering – Visually emphasize matching text in real-time.

[website] is open-source under the MIT License. Check out the repo and feel free to contribute or analysis issues!

Let me know what you think! Drop a comment below. 🚀.

I’ve often noted that a beautiful desktop environment can make or break a distribution. Sure, there are plenty of people who don’t care what their desk......

If you're a developer juggling between work projects, personal side projects, and maybe even some open-source contributions, you're likely familiar wi......

On Wednesday morning, our coworkers at The New Stack started asking each other, in meetings and via panicked emails: Hey, are you having trouble with ......

Setting Up a Basic JavaScript Bundler with Esbuild

Setting Up a Basic JavaScript Bundler with Esbuild

Modern web development often involves multiple JavaScript files, dependencies from npm, and the need for efficient performance.

Allowing the use of modern JS elements (import/export, ES6+).

In this guide, we'll set up a basic, no-framework JavaScript bundler using Esbuild—one of the fast JS bundlers available.

No Webpack complexity, just pure bundling goodness! 😎.

First, create a new folder and initialize an npm project:

mkdir my-bundler-setup && cd my-bundler-setup npm init -y Enter fullscreen mode Exit fullscreen mode.

Now, install Esbuild as a development dependency:

npm install esbuild --save-dev Enter fullscreen mode Exit fullscreen mode.

We’ll create two JS files: [website] (main file) and [website] (module file).

export function getMessage () { return " Hello from bundled [website] to [website]! " ; } Enter fullscreen mode Exit fullscreen mode.

import { getMessage } from " ./[website] " ; function runDemo () { console . log ( " Executing bundled script... " ); document . getElementById ( " output " ). textContent = getMessage (); } // Expose function to the browser window . runDemo = runDemo ; Enter fullscreen mode Exit fullscreen mode.

Create an [website] file to load our bundled script:

Esbuild Bundler Demo Check the console for logs from the bundled script. Run Bundled Code Enter fullscreen mode Exit fullscreen mode.

Check the console for logs from the bundled script.

Now, let’s configure Esbuild to bundle our scripts into a single [website] file.

Modify your [website] to add a build script:

"scripts" : { "build" : "esbuild [website] --bundle [website]" } Enter fullscreen mode Exit fullscreen mode.

npm run build Enter fullscreen mode Exit fullscreen mode.

Awesome! 🚀 We now have a bundled JavaScript file ( [website] ) that combines both [website] and [website] .

To serve the project locally, install serve , a lightweight static server:

npm install -g serve Enter fullscreen mode Exit fullscreen mode.

serve . Enter fullscreen mode Exit fullscreen mode.

Now, open [website]:3000 in your browser.

This simple bundler setup can be useful for:

Small web projects needing modular JavaScript.

Quick prototyping without Webpack complexity and npm publishing.

Lightweight projects where frameworks aren’t required.

Experimenting with modern JavaScript capabilities in the browser.

in the browser Educational purposes (learning ES6 modules, bundling, serving static files).

This is just the beginning—Esbuild can do much more! Stay tuned for future optimizations like minification, live-reloading, and more. 🚀.

💡 What do you think? Would you use Esbuild for quick bundling? or a much faster one Rsbuild? Drop a comment below! 🎯.

I’ve been working on a super-convenient tool called LiveAPI.

LiveAPI helps you get all your backend APIs documented in a few minutes.

With LiveAPI, you can quickly generate interactive API documentation that allows consumers to execute APIs directly from the browser.

If you’re tired of manually creating docs for your APIs, this tool might just make your life easier.

xml-trueformat is a TypeScript library for parsing and manipulating XML documents while retaining their exact original formatting. It stores whitespac......

Code review is essential for maintaining high-quality software, but it can be time-consuming and prone to human error. AI-powered code review tools ar......

Chip designer Arm has a new edge AI platform optimized for the Internet of Things (IoT) that expands the size of AI models that can run on edge device......

Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
7.5%9.0%9.4%10.5%11.0%11.4%11.5%
7.5%9.0%9.4%10.5%11.0%11.4%11.5% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
10.8% 11.1% 11.3% 11.5%
10.8% Q1 11.1% Q2 11.3% Q3 11.5% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Enterprise Software38%10.8%
Cloud Services31%17.5%
Developer Tools14%9.3%
Security Software12%13.2%
Other Software5%7.5%
Enterprise Software38.0%Cloud Services31.0%Developer Tools14.0%Security Software12.0%Other Software5.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Microsoft22.6%
Oracle14.8%
SAP12.5%
Salesforce9.7%
Adobe8.3%

Future Outlook and Predictions

The Certification Notes Introducing landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the software dev sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing software dev challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of software dev evolution:

Technical debt accumulation
Security integration challenges
Maintaining code quality

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

API beginner

algorithm APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.

framework intermediate

interface

platform intermediate

platform Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

agile intermediate

encryption