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Cursor vs Trae: Is Trae the Next Big Thing for Developers?

Cursor is a smart code editor built on top of VS Code with AI features to enhance coding speed and quality.
Cursor features include smart autocomplete, natural language commands, understanding of the full project, and an agent mode.
Many big tech companies like OpenAI, Stripe, and Amazon are using Cursor, elevating its popularity and value.
Cursor ensures privacy by not storing code without permission but may require extensions or subscriptions for full features.
Trae is a new code editor focused on AI, providing features like an AI assistant, integrated terminal and debugging, and free usage.
Trae stands out for its AI capabilities, support for multiple programming languages, free accessibility, and support for custom AI bots.
Trae is created by ByteDance, the company behind TikTok, and offers context-aware suggestions and a streamlined coding experience.
Users appreciate Trae for keeping coding, debugging, terminal, and more in one place, eliminating the need for multiple extensions.
Cursor, akin to VS Code with AI features, is recommended for users already familiar with the VS Code environment.
Trae, a lightweight and AI-powered editor, is suggested for those seeking a new, free, and integrated coding experience.
Trae is free to use, while Cursor may require subscriptions for complete access to AI features.
Both Cursor and Trae offer distinct advantages, with Trae providing a distraction-free coding experience for full-stack developers.
It is recommended to try both editors to determine the best fit for individual workflow preferences.

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Dev

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JavaScript delete operator might cause some unexpected performance issues.

Using the delete operator in JavaScript can lead to unexpected performance issues, as observed during benchmarking in v8 engine and Safari v18.5.
Deleting object keys with delete operator impacted code performance almost 3 times worse compared to manually setting the key to undefined or false.
The performance issue with the delete operator was reproducible in Safari v18.5 and Chromium-based browsers, indicating a broader impact beyond the v8 engine.
A benchmarking code example showcased the performance impact of delete vs. manually setting keys to false, highlighting the significant difference in execution times.
Testing conducted in various environments like Chrome, Safari, and Node consistently showed the delete method's execution time being notably slower than manually setting keys to false.
In Node v24.2.0, Chrome Version 136.0.7103.114, and Safari 18.5, the performance issue with the delete operator persisted.
The underlying reason for the performance impact of delete in JavaScript engines like v8 and Nitro (used in Safari) is not officially confirmed but may relate to optimizations geared for hash map operations being lost.
Optimizations for hash map operations could be compromised when using delete in JavaScript objects, affecting performance in scenarios with frequent read operations.
Consider avoiding heavy use of delete for objects used as lookups with frequent read operations to maintain optimal runtime and performance.

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Dev

211

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Beyond switch-case: Type-safe Pattern Matching in TypeScript

Pattern matching in TypeScript is essential for code maintainability and type safety, replacing switch-case statements with concise, type-safe patterns.
The Resolver Pattern eliminates the need for switch-case by mapping functions to different cases based on union types or enums.
The Match Function simplifies logic by defining handlers for each value of a union type inline, enhancing code readability and reducing complexity.
Pattern Matching for API Interactions streamlines logic when working with multiple OAuth providers, making code organization and extension easier.
The Core Implementation using the match function allows for a concise, type-safe pattern matching approach, making code more readable and extendable.
Using Pattern Matching in React components like Match, visual state indicators can be dynamically rendered based on different states, improving user interface clarity.
Managing Query States with Pattern Matching introduces MatchQuery component for handling query results, simplifying UI logic and keeping components focused.
Pattern Matching with Record Unions and matchRecordUnion provides a way to work with complex data structures, ensuring code stays concise and type-safe.
Type Predicates like isOneOf play a crucial role in type-safe pattern matching with external data, ensuring only valid cases are handled.
Type-Safe Pattern Matching with External Data exemplifies how utilities like isOneOf and match enhance code safety and readability, streamlining data processing.

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Medium

379

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10 AI model types you’re actually using in 2025 even if you don’t know it

Artificial Intelligence (AI) in 2025 consists not just of chatbots and assistants but also includes various models working behind the scenes.
Most AI applications today consist of vision models, audio models, reinforcement learning agents, and tiny classifiers trained for specific tasks.
AI has become modular, specialized, and more advanced than typical chatbot demonstrations.
There are ten different types of AI models explained, including Large Language Models (LLMs) used in applications like Notion AI and GitHub Copilot.
Vision models are used in self-driving cars, security cameras, AR apps, e-commerce image search, and medical scans for visual recognition tasks.
Audio models find applications in podcasts, voice assistants, call centers, and music production for audio-related tasks.
Multimodal AI combines vision and audio capabilities for enhanced experiences such as surveillance, autonomous vehicles, and meme generation.
Reinforcement learning helps AI learn by taking actions, receiving feedback, and improving, similar to a gamer advancing levels.
Agentic AI models act as the 'body' of AI, continually working and executing tasks.
RAG models offer advanced search capabilities by reading and understanding content, unlike traditional search engines.
Foundation models are powerful and versatile, designed to handle a wide range of AI tasks and evolve over time.
AI is evolving beyond just Large Language Models (LLMs), showcasing the diverse and specialized nature of modern AI applications.

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Dev

413

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What is pure function?

Functional programming is a paradigm where you build software by creating and combining functions that take an input, perform operations, and produce an output, ensuring predictability.
Benefits include reusability, statelessness, ease of testing, and concurrency friendliness.
Pure functions in functional programming strictly adhere to rules like always returning a single value, based only on inputs, and not mutating existing values.
Impure functions may exist due to violating these rules, which could hinder the alignment with functional programming goals.
Managing large data sets in functional programming may sometimes require compromises on immutability for performance optimization.
In Java, manual copying is often necessary to maintain immutability in collections, unlike languages with built-in immutable collections.
A sample function 'doubleAllValues' is illustrated to create a new collection to prevent mutation, showcasing the balance between immutability and performance.
Understanding pure functions and following their rules is essential in functional programming, although there are additional concepts to delve into.
For further exploration of functional programming, references like the book 'Grokking Functional Programming' are suggested.
Functional programming emphasizes building software by combining predictable functions and adhering to principles like imperative style, statelessness, and immutability.
The concepts of pure functions serve as a foundational element in understanding and applying functional programming principles.

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Dev

400

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📝 Beginner-Friendly Guide "Minimum Deletions to Make String K-Special" LeetCode 3085 (C++ | Python | JavaScript)

LeetCode 3085 is a medium-level problem that involves minimizing the number of deletions required to make a given string k-special.
To make a string k-special, the difference between the maximum and minimum frequency of any two letters should be ≤ k.
The problem involves counting the frequency of each character, normalizing frequencies, adjusting values greedily, and finding the configuration with minimal deletions.
In C++, a solution is provided that sorts frequencies for easier analysis and scans for minimum deletions with a time complexity of O(26^2) and space complexity of O(26).
The JavaScript solution follows a similar approach as the C++ solution but is implemented in JavaScript, sorting frequencies and calculating minimum deletions.
A Python solution is also presented, using frequency arrays and greedy optimization to find the minimum deletions required to make the string k-special.
This problem showcases the benefits of frequency analysis and greedy optimizations, transforming a global condition into local transformations via range loops.
The problem provides good practice for frequency array manipulation and greedy analysis on sorted data.
This article offers algorithm insights and optimizations for the LeetCode 3085 problem, highlighting the importance of frequency analysis and local transformations.
The content provides valuable information for algorithm enthusiasts and demonstrates the power of frequency-based optimizations.

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Dev

275

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Mastering Full-Stack Authentication with Django REST Framework and React ⚙️🔐

The author shares their journey of implementing user authentication using Django REST Framework (DRF) and React + Vite.
Encountered challenges included misconfigured routes, unexpected errors like '405 Method Not Allowed,' and sending credentials to the wrong endpoint.
Lesson Learned: Double-check routes, HTTP methods, and configurations, and pay attention to console errors for troubleshooting.
The fix involved correctly connecting to the auth route, storing tokens in localStorage, and using React Router for redirection.
Additional improvements included modularizing frontend components, using CSS Modules for styling, and enhancing the user experience with loading indicators and error handling.
Future steps include implementing protected routes, centralizing authentication state management, and building CRUD functionality for various features.
The author emphasizes that every bug encountered was a learning opportunity, refining their skills in logic, debugging, clean code, and user-centered design.

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Medium

224

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C++ Outperforms All Programming Languages Even in 2025!

C++ maintains its dominance in the software field for performance-critical applications.
Ranked second in the TIOBE Index, C++ offers exceptional performance and control over system resources.
Compiles into machine code for high run-time performance in critical applications.
Enables fine-tuning of performance with low-level control over system resources.
Evolved with new standards like C++ 14, C++ 17, and C++ 20, adding powerful features.
Modern features such as smart pointers, lambda expressions, and concepts enhance code safety and readability.
Boasts a rich ecosystem with mature tools and libraries like QT, OpenCV, OpenGL, and STL.
While Rust and Python gain popularity, C++ remains a top choice for performance and control.
Continuously evolving, C++ remains highly in-demand in 2025 for performance-critical applications.
C++ is considered the backbone of the performance-critical industry and applications.
Other languages offer advantages for specific use cases, but C++ is consistently adopted for its benefits.
C++ empowers a strong and growing ecosystem with its capabilities.
The industry relies on C++ for critical and high-performance applications.
C++ remains unrivaled in its dominance and performance even in 2025.
C++'s evolution and strong ecosystem contribute to its continuous adoption in the industry.

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Medium

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I Built an AI That Writes and Posts My Dev Journey So I Can Focus on Building

Building in public can be powerful but challenging, as consistency in sharing progress can be difficult to maintain.
To address this challenge, the individual created AutoBuild.io, an AI-powered tool that automates the process of sharing development updates on social media platforms.
AutoBuild.io reads GitHub commits or Notion updates, generates social media content using OpenAI, and posts them on platforms like Twitter, Facebook, or Instagram.
The tool is designed for developers, indie hackers, and creators who wish to build their personal brand and attract an audience while focusing on product development.
AutoBuild.io utilizes Python for the backend, HTML, CSS, JavaScript for the frontend, OpenAI GPT-4o for content generation, and integrates with GitHub and Notion to track progress.
Features of AutoBuild.io include Google sign-in, a dashboard for post editing and previewing, GitHub + Notion progress sync, auto-posting to various platforms, post analytics, and subscription plans.
The creator plans to open beta tester slots soon, offering early access and influence over features to interested individuals.
Lessons learned include the importance of solving one's own problem first, prioritizing feedback over perfection, clarity in AI-generated content, and recognizing the talent in Nigeria for tech innovation.
Future plans for AutoBuild.io include final testing on payments and post scheduling, refining AI tones for different platforms, and preparing for the official launch.
The tool aims to help individuals stay consistent in sharing their development journey by automating the posting process, allowing them to focus on building.

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Self-Learning-Java

366

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How to create custom Grafana Dashboard?

The article is a continuation of configuring Prometheus with monitoring targets such as Prometheus, Grafana, and Node Exporter.
It covers creating a custom dashboard in Grafana using metrics collected by Prometheus to visualize CPU usage, memory, and system-level insights.
Steps include accessing Grafana, creating a new dashboard, selecting data sources, writing queries, customizing visualizations, and saving the dashboard.
The guide explains how to add panels, set legends, resize panels, categorize panels, work with different metrics, and rearrange rows in the dashboard.
It provides detailed instructions on creating visualizations for metrics like HTTP requests, memory statistics, CPU stats, and more.
The article concludes by showcasing the final customized dashboard and encourages readers to explore and experiment further.

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PlanetPython

103

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Armin Ronacher: My First Open Source AI Generated Library

Armin Ronacher evaluated different models for generating XML versus JSON and faced issues with models returning invalid XML.
Ronacher required a sloppy XML parser and asked Claude, the AI, to develop a proper XML library from scratch.
The AI created a parser with 1100 lines of code, 1000 lines of tests, CI setup, PyPI publishing setup, a logo design, reconfigurations, and more.
The result, 'sloppy-xml', is on GitHub and PyPI, with Ronacher highlighting it as an experiment rather than a recommended practice for serious Open Source libraries.

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Dev

427

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# SandboxAQ Releases Massive Synthetic Molecule Dataset to Accelerate AI Drug Discovery

SandboxAQ, an AI and quantum tech startup, released a large-scale dataset of synthetic 3D molecular structures for drug discovery.
The dataset contains over 5.2 million conformers with diverse chemical scaffolds to aid in training ML models for predicting drug-target interactions.
It includes 3D atomic coordinates, protein binding affinity, chemical class labels, and structural metadata for geometric deep learning models.
SandboxAQ collaborated with pharma partners and used quantum and AI simulations to create accurate 3D conformers for common therapeutic targets.
Developers can integrate the dataset with graph neural networks, transformer-based models, and molecular docking software.
Modelers can train regression or classification models to predict bioactivity and other properties using the structural information.
This release signifies a significant synthetic dataset for AI-powered drug discovery to reduce failures and prioritize promising leads.
The dataset is open for academic and non-commercial research, with potential expansion for industry users via subscription.
SandboxAQ plans to introduce benchmarks for protein-ligand prediction tasks based on this dataset in the future.

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Medium

116

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Stop Paying for SaaS Tools — I Built a $0 Tech Stack With Just PostgreSQL

The author shares their frustration about rising costs of various SaaS tools they were using, totaling 23 services and feeling like paying protection money to the SaaS industry.
They had an idea to leverage PostgreSQL's extension system to handle functionalities previously reliant on paid tools, such as authentication, AI features, and session caching.
PostgreSQL's extensions like pg_cron, pgvector, and pg_graphql allow for features like cron jobs, vector search, and real-time events without the need for separate services.

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7 Likes

Medium

362

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Create Stunning Videos Effortlessly with AI

Advancements in technology have made video creation more accessible.
Revio: The Future of AI Video Creation allows users to transform images into lifelike videos without technical skills.
Revio offers benefits such as realistic emotions, lip-sync, and movements in created videos.
Users find creating captivating videos with Revio to be a seamless and easy process.
Success stories include users earning substantial amounts, like John making $500 in his first week.
Revio provides top filmmakers' technology to users, enabling profitable video creation.
Users have sold videos for up to $497, enhancing their marketing and advertising strategies.
Revio streamlines the video creation process by saving time and cutting costs.
The tool eliminates the steep learning curve associated with other video creation programs.
Revio empowers individuals without advanced skills to create engaging videos and potentially generate income.
The platform is suitable for social media enhancement, marketing services, and exploring creativity.
Revio offers limitless possibilities for enhancing content quality and audience engagement.
AI technology tools like Revio make video creation accessible for individuals entering the field.
Revio is a solution for individuals seeking to elevate their video creation endeavors.
Whether improving social media presence, marketing services, or exploring creativity, Revio provides exciting video creation opportunities.

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Medium

The Day I Broke the Code (and What It Taught Me About Building Better Ones)

The author shares an experience of breaking a code and emphasizes the importance of building resilient systems over writing perfect code.
Programming is about creating systems that can withstand failures, and the mindset to handle setbacks is crucial.
The author now designs solutions with the expectation of failures, understanding that they are part of the process.
Embracing bugs, crashes, and errors at odd hours is seen as checkpoints on the journey of programming.
The message conveyed is to build not just for success, but also for scenarios when success fails.
The article highlights that resilience, curiosity, persistence, and a refusal to give up are key qualities in programming.
The experience mentioned has taught the author to approach coding with a mindset that can adapt to challenges.

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