Programming News and Topics: Latest News on Computer Programming from Techminis

A naukri.com initiative

New

Home

Programming News

Dev

206

Image Credit: Dev

Day-3 Exploring Oracle, JavaScript

Explored integrity constraints in Oracle database.
Learned about one-to-one, one-to-many, and many-to-many relationships between tables.
Gained understanding of join operations, including self join, outer join, and inner join.
Continuing the journey towards a career in Oracle and JavaScript.

Read Full Article

12 Likes

Medium

Image Credit: Medium

Code Review Automation Tips

Code review in software development ensures code quality, best practices, and maintainability through manual examination, but it can be time-consuming and inconsistent.
Automated code review tools powered by AI streamline the process, enhancing efficiency and catching issues earlier.
These tools analyze codebases, detect issues, and provide feedback by scanning source code for various aspects.
AI-powered code review offers near-instant feedback in Agile and DevOps environments for faster and more reliable quality checks.
Automation is essential in modern software development to maintain high coding standards while improving efficiency.
Large Language Models (LLMs) enhance automated code review by detecting errors and offering intelligent suggestions based on vast code knowledge.
AI-powered tools provide deeper insights into complex coding patterns, security vulnerabilities, and performance optimization.
Automated review tools enhance collaboration, reduce reviewer fatigue, and improve efficiency in software development.
Challenges with AI-driven code review include false positives, lack of context understanding, and security risks that can be mitigated with proper configuration.
Future advancements in AI-driven code review include better contextual awareness, domain-specific intelligence, and broader integration in development workflows.
Adopting AI-driven code review tools early can lead to faster development cycles, higher code quality, and increased software development efficiency.

Read Full Article

3 Likes

Medium

237

Image Credit: Medium

How Racket Handles Memory Management

Racket dynamically allocates memory for data structures, functions, and control info, managed automatically without dev intervention.
Racket's memory management involves stack and heap allocation optimized for specific data types and operations.
Functions in Racket use the stack for local variables and control info, creating and removing stack frames during execution.
Racket distinguishes between boxed and unboxed values for performance optimization during memory allocation.
New objects in Racket are initially allocated in the young generation, with promotion to the old generation based on usage and references.
Custom structures in Racket are stored in memory to optimize access and assist the garbage collector in efficient memory management.
Large objects like arrays are allocated directly in the old generation to minimize copying during garbage collection.
Racket uses memory alignment and object promotion techniques to enhance memory access and allocation efficiency.
Generational garbage collection, mark-and-sweep algorithm, and compaction are vital parts of Racket's memory management system.
To handle circular references, Racket's garbage collector employs a tracing collector that correctly identifies and removes unreachable objects.

Read Full Article

14 Likes

Dev

193

Image Credit: Dev

🎧 Coding Soundscapes: Music, Podcasts, or Silence? 🔇

Coding with Music: Benefits include blocking distractions, regulating mood, and triggering flow states. Best practices suggest instrumental music and matching intensity to task complexity.
Coding with Podcasts: Benefits include continuous learning, connection to the tech community, and mental stimulation. Works best for more mechanical coding tasks and less complex programming challenges.
Coding in Silence: Benefits include deeper concentration, clearer thinking, and following natural thought patterns. Best for learning new concepts, debugging complex issues, and system design.
Finding Your Approach: The ideal soundscape depends on the task complexity, personal cognitive style, working environment, and experience level. Switching between music, podcasts, and silence based on the work demands is often the most effective approach.

Read Full Article

11 Likes

Dev

Image Credit: Dev

Keeping Your Services Up and Running: A Friendly Guide to High Availability

High availability (HA) is all about ensuring that systems remain operational for as much time as possible, reducing downtime to a minimum.
The classic approach to achieving high availability involves duplicating key components, implementing redundancy, failover mechanisms, and fault tolerance.
In modern cloud-native systems, high availability is achieved through containerization, orchestration, service redundancy, and distributed databases.
Cloud providers offer built-in solutions for high availability, such as availability zones, regional redundancy, and auto-scaling.

Read Full Article

3 Likes

Dev

347

Image Credit: Dev

TargetJS: Rethinking UI with Declarative, Synchronous Pipelines

TargetJS is a framework that rethinks UI with declarative, synchronous pipelines.
The framework utilizes internal wrappers called 'targets' for properties and methods of JavaScript literal objects, executing them sequentially in the order written.
It enables functional pipelines between targets, adds lifecycles, looping, and timing functionalities to enhance execution.
TargetJS simplifies state management by treating properties and methods uniformly with lifecycles and states.
CSS styles can be integrated into the same object as targets, providing enhanced style property utility with value iteration for easy style animations.
Targets work synchronously, providing a unified solution for UI rendering, event handling, and API interactions.
An example showcases rendering a purple square and animating its width, demonstrating how targets are executed in order and can create enhanced HTML elements.
UI rendering and animation examples further illustrate how TargetJS can create multiple animated squares and transition their properties.
Event handling is shown by adding click events to squares, resetting animations on each click using specialized targets like onClick.
An API call example demonstrates integrating API calls into animations, showcasing targets like loadSquare to fetch data and populate to display results appropriately.

Read Full Article

20 Likes

Dev

153

Image Credit: Dev

Migrating from AngularJS to React

In 2018, faced with AngularJS entering LTS, a software dev team chose to migrate to React for better support and performance.
Migrating to React offered advantages like speed, smaller bundle size, flexibility, JSX syntax, and unidirectional data flows.
Challenges of migration include choosing helper libraries, migrating logic to microservices, and keeping up with React advancements.
Considerations before migration include evaluating resources, necessity, and having a well-defined plan.
Migration options range from complete rewrite to migrating part by part, with challenges and benefits in each approach.
Benefits of migrating to React include version migration ease, React Native compatibility, better SEO, ongoing framework advancement, and availability of React-skilled developers.
Steps to migrate from AngularJS to React involve outlining pros and cons, assessing risks, diagramming new architecture, building a proof-of-concept, deciding migration phases, and transitioning Angular components to React.
A real-life example of migrating from AngularJS to React took a development team 3 years, with challenges in logic extraction, slower progress than expected, and successful shutdown of the old AngularJS app.
Rewriting an application in a new framework requires careful planning and adaptation, but successful migrations are feasible with a comprehensive approach.

Read Full Article

9 Likes

Dev

Image Credit: Dev

Easily Perform AI-powered Code Reviews In Minutes (CodeRabbit + GitHub)

This article introduces AI-powered code reviews using CodeRabbit and GitHub to enhance code quality and catch bugs efficiently.
Code reviews are essential for ensuring code functionality, readability, and preventing issues before merging.
CodeRabbit is an AI-powered tool that conducts code reviews instantly, freeing developers from manual review processes.
Prerequisites for this tutorial include a basic understanding of React or Next.js.
The tutorial guides users through setting up a Blog app, integrating it with CodeRabbit, and creating pull requests for review.
CodeRabbit automates the code review process and provides a summary, detailed walkthrough, and identifies potential issues in code changes.
Advanced features of CodeRabbit include Committable Suggestions, Chat functionality, Custom review instructions, and CI/CD pipeline integration.
Custom review instructions help maintain consistency in the codebase, and integration with CI/CD pipelines automates code analysis and fixes during build and deployment.
The article concludes by emphasizing the importance of code reviews and how CodeRabbit can streamline the code review process efficiently.
CodeRabbit enhances code quality and helps developers identify and rectify issues promptly, making the codebase more robust and reliable.

Read Full Article

3 Likes

Medium

109

Life as a Developer Dad: Loving, Worrying, Growing

Fatherhood is a challenging and stretching experience for this developer dad.
The lack of personal time and the challenge of personal growth have been some of the difficulties.
The guilt of being absent due to work also weighs heavily, despite knowing it's for his benefit.
The fear of not being around to see his son grow up and the memories of being bullied in the past add to the worries.

Read Full Article

6 Likes

Medium

158

Image Credit: Medium

Who leads the AI industry today and who will in future.

Microsoft, valued at around $2.888 trillion, leads the AI industry today. Its partnership with OpenAI has contributed to advancements in AI applications.
NVIDIA, with a market cap of about $2.83 trillion, plays a pivotal role in the AI industry with its essential GPUs for AI computations.
Alphabet (Google), with a market capitalization of approximately $2.092 trillion, is a trusted name in the tech world with investments in AI research and development.
In the future, emerging players like Meta Platforms, Tesla, Oracle, IBM, OpenAI, and Anthropic are poised to lead in the AI industry with their innovative approaches and market potential.

Read Full Article

9 Likes

Medium

Image Credit: Medium

Python Tricks That Will Make You Feel Like a Coding Wizard

Python Tricks That Will Make You Feel Like a Coding Wizard
Conjuring list comprehensions and wielding lambda functions
List comprehensions are elegant one-liners for filtering lists
Lambda functions are useful for quick tasks without defining a full function

Read Full Article

2 Likes

Medium

Image Credit: Medium

A Developer’s Guide to Diagrams

Architecture diagrams help visualize how different components or services fit together in a system.
Sequence diagrams are a great way to document APIs, service orchestration, or complex business logic timelines.
ER diagrams are essential when designing or updating databases and working with backend/data teams.
UML Class diagrams are ideal for designing or reverse-engineering OOP systems.

Read Full Article

1 Like

Logrocket

Image Credit: Logrocket

The 8 best Go web frameworks for 2025: Updated list

The article explores the top eight Go web frameworks for 2025, providing insights into their features, performance, use cases, and community engagement.
The top Go frameworks highlighted include Gin, Fiber, Echo, Beego, FastHTTP, Gorilla, Chi, and Hertz, each offering unique advantages for various web development projects.
Gin is known for its high performance, error management, middleware creation ease, and fast routing, making it ideal for APIs, microservices, and lightweight web apps.
Fiber, inspired by Express.js, boasts low memory usage, rich routing capabilities, HTTP/2 support, and extensive documentation, making it perfect for high-performance web apps.
Echo, suitable for APIs and performance-critical applications, offers a minimalist design, clean API, and good documentation, focusing on ease of use and middleware support.
Beego is designed for full-stack web apps, enterprise applications, and APIs, providing feature-rich development tools, ORM, and caching support for large-scale projects.
FastHTTP, known for raw performance focus, custom web servers, and high speed, is recommended for high-performance APIs and situations requiring low-level control.
Gorilla, a modular and flexible toolkit, offers powerful components for APIs, web sockets, and general web development, with strong community support and documentation.
Chi, a lightweight router, features simple and composable routing for APIs and microservices, ensuring easy integration and widely used router plugins.
Hertz, optimized for microservices and high-throughput APIs, stands out for performance, extensibility, and support for cloud-native environments, backed by CloudWeGo.

Read Full Article

3 Likes

The Pragmatic Engineer

330

Image Credit: The Pragmatic Engineer

The Pulse #129: new trend of EMs quitting to be startup founders using AI

EMs (Engineering Managers) are quitting their roles to become startup founders using AI tools.
AI tools empower non-hands-on engineering leaders to launch their own businesses and build v1 products to attract customers or raise funding.
Leaked startup recruitment guidelines reveal the increasing importance of pedigree and the existence of blacklists for hiring engineers.
Donald Trump's new tariffs on US imports have the potential to significantly impact the tech industry.

Read Full Article

10 Likes

Siliconangle

Image Credit: Siliconangle

Portworx helps HSBC handle Kubernetes at scale with no margin for error

HSBC Group operates a Kubernetes platform at an extraordinary scale with 13,000 nodes, 200+ clusters, and over 600 production services.
They prioritize high reliability due to handling millions of transactions and trillions in payments, making data integrity critical.
HSBC leverages Portworx by Pure Storage for Kubernetes data management, discussed at KubeCon + CloudNativeCon Europe.
Kubernetes clusters constantly upgrading with regulatory demands are challenging for HSBC, requiring features like backup from Portworx.
Portworx provides HSBC with backup, disaster recovery, and replication capabilities needed to manage Kubernetes at scale.
Portworx deeply integrates into the control plane and enterprise culture, supporting thousands of nodes and teams at HSBC.
The integration of Portworx has improved Kubernetes data management at HSBC, offering a consistent developer-friendly experience.
Portworx ensures easy adoption and operation at scale by integrating with customers' workflows and providing a self-service experience.
The partnership between Portworx and HSBC has facilitated a more seamless container ecosystem experience across the bank's global footprint.
The collaboration enhances efficient Kubernetes data management, ensuring a smoother workflow for HSBC's infrastructure operations.

Read Full Article

4 Likes

For uninterrupted reading, download the app

Programming News

Discover more