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OpenAI o3-pro: Early-User Review Round-Up & Cost-Benefit Snapshot

OpenAI has released a new product called OpenAI o3-pro on June 10, 2025.
It is available in ChatGPT Pro / Team model picker and API endpoint o3-pro-2025-06-10.
The pricing for OpenAI o3-pro is $20 per million input tokens and $80 per million output tokens, which is higher than the standard o3 pricing of $2 and $8 respectively.
Key upgrades of OpenAI o3-pro include a longer 'reflection' loop, built-in Web search, file & image analysis, Python execution, and memory personalization.
There are initial limits to OpenAI o3-pro such as no image generation or Canvas, a temporary-chat bug, and an API launch cap of around 20k TPM per user.
A positive sentiment about OpenAI o3-pro is that it can handle various tasks efficiently; for example, producing a full research memo in ten minutes, a task that previously took half a day.
Reviewers consistently prefer o3-pro in areas like science, programming, business, and writing.
Some neutral thoughts about OpenAI o3-pro include acknowledging better quality but facing higher latency and cost compared to the standard version.
It is suggested to route only critical calls to o3-pro to manage costs effectively.
Users are advised to choose the model based on the use-case, as models like Claude or Gemini may be more cost-effective for bulk tasks.

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Dev

175

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Are Nx Monorepo Configurations Really Complex?

Nx TypeScript configuration in monorepos can feel complex due to managing TypeScript across multiple apps and libraries with separate config files.
Common configuration pitfalls include treating configs as independent, manual path mapping edits, circular dependencies, and build vs. runtime confusion.
Nx organizes TypeScript configurations from root level tsconfig.base.json to project-specific tsconfig files for consistency and efficiency.
Nx uses tsconfig.base.json for global TypeScript settings, tsconfig.json for project references, and project-specific tsconfig.app.json, tsconfig.lib.json, tsconfig.spec.json files.
Project structure, IDE integration, caching, and performance tuning are key aspects to consider for effective Nx TypeScript configuration.
Path aliases simplify import statements, while TypeScript project references offer stronger type checking and build performance benefits.
Troubleshooting common TypeScript issues involves addressing import resolution problems, build errors, IDE integration issues, and understanding Nx caching.
Optimizing Nx TypeScript projects includes leveraging project references, proper include/exclude settings, and compiler options for performance tuning.
Understanding Nx caching mechanisms and performance tuning strategies can significantly enhance TypeScript project build efficiency.
Confidently managing Nx TypeScript configurations leads to streamlined development and efficient monorepo structuring for scaling projects.

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Medium

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Why Is The Laravel PHP Framework the Best?

The Laravel PHP framework is a free and open-source environment with abundant features for quick app development including routing, authentication, and database management.
Using Model-View-Controller (MVC) design, Laravel ensures efficient code organization and future scalability with less complexity.
Laravel prioritizes security, offering protection against various attacks like SQL injection and cross-site scripting.
It includes built-in tools like Eloquent ORM and Blade template engine, catering to common web behaviors and fostering a strong developer community.
Laravel's adherence to best practices and MVC pattern enhances performance and simplicity in building applications for businesses.
With Artisan CLI, developers can streamline tasks like database management, server launch, and code generation, enhancing development efficiency.
The Blade templating engine in Laravel facilitates the creation of reusable, elegant layouts with dynamic content seeding.
Utilizing Eloquent ORM, Laravel simplifies database interactions and offers an expressive interface for defining relationships.
Laravel's built-in testing functionalities with PHPUnit ensure code quality and efficiency through unit and feature tests.
The framework's robust routing system, security measures, and developer-friendly resources make it ideal for building scalable web applications.
Overall, Laravel's comprehensive features, modular design, and strong community support position it as a top choice for developers aiming to create cutting-edge PHP applications.

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Dev

312

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Build Your First Personal AI Assistant with JavaScript in 5 Minutes (For Free 🤯) - Start The Timer!

The AI industry has been rapidly growing since the release of ChatGPT in late 2022, with many companies raising significant funds and innovative products being developed daily.
JavaScript developers can leverage this growth by using the language for AI-powered applications, especially as startups transition AI research to production.
Setting up your AI assistant involves installing Node.js, a code editor, npm, an API key, and the OpenAI SDK.
While initially requiring a paid OpenAI API key, a free alternative called OpenRouter allows access to various AI models, enabling the creation of a personal AI assistant using JavaScript.
The code snippet provided demonstrates how to implement a personal AI assistant using the OpenAI SDK, offering capabilities like providing summaries of trending news stories.
By utilizing OpenRouter and Meta's Llama-4 Maverick model, developers can access free AI models for tasks such as summarizing news stories with JavaScript.
The article encourages developers to explore building AI tools without significant financial investment, citing tools like OpenRouter as excellent resources.
Readers are prompted to engage by building innovative projects with the provided resources and seek assistance or share their developments with the community.
The author promotes their SDK project, Docuglean, designed to extract information from documents efficiently using AI models, and seeks support on GitHub.
The tutorial encourages exploration and experimentation with AI tools and development, emphasizing accessibility and community collaboration.

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Dev

406

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⚙️ Tuesday Tech Tip: Supercharge Your Terminal with OMZ! ✨🚀

Tech tip of the day: Use Oh My Zsh (OMZ) shell extensions to enhance your command-line experience.
OMZ is an open-source framework for Zsh configuration with a wide range of powerful themes and plugins.
Explore OMZ plugins to customize your terminal with intelligent autocompletion, syntax highlighting, and smart shortcuts.
Plugins offer features like remembering recent branches, syntax highlighting for better visibility, and seamless integration with tools like Docker and VS Code.
Enabling plugins in Oh My Zsh is easy by adding them to the ~/.zshrc file and reloading the terminal session.
Recommended plugins include git for aliases and tab completion, zsh-autosuggestions for command suggestions, zsh-syntax-highlighting for syntax highlighting, and web-search for quick searches.
Invest time in exploring OMZ plugins to boost productivity and make command-line interactions more enjoyable.

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PlanetPython

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Django Weblog: DSF member of the month - Elena Williams

Elena Williams is announced as the DSF member of the month for June 2025, recognized for her contributions to the Django community.
Elena has been a DSF member since July 2014, actively involved in the Code of Conduct Working Group and organizing Django Girls events in Australia.
She has a background in finance but transitioned to coding, obtaining a Master's in Computing, and focusing on programming, web development, and open-source activities.
Elena engages in hobbies like snowboarding, kitesurfing, and rogaining, while also balancing parenthood, friendships, and teaching software engineering.
She has been using Django since the early 2000s, appreciating its well-designed framework and community support.
Elena highlights the importance of easy deployment methods and stronger support for multiple database schemas within Django.
Currently, Elena is involved in organizing community events like PyConAU, serving on committees, and working on projects in a senior role for a data company.
Her favorite Django libraries include the ORM, admin interface, and the ease of writing tests within the framework.
Elena reflects on her positive experiences with Django's workflow, consistent quality, and the supportive community over the years.
As part of the Code of Conduct working group, Elena discusses the importance of culture in the community and the need for diversity and new members.
Having organized DjangoGirls events and being a part of PyLadies, Elena encourages community engagement and support among technical women.

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Dev

342

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My Transition into System Design: Building Better, Smarter Systems

The author shifted their focus towards System Design, realizing the importance of designing clean, scalable, and maintainable systems.
They emphasized the cycle of learn–unlearn–relearn in their journey and explored the significance of architecture thinking in successful product development.
Initially, the author delved into Architecture patterns and Product Requirements Documents (PRDs) for shaping the development lifecycle.
The author then moved on to Microservices Architecture, learning about architectural styles, service boundaries, API Gateway, NGINX, and asynchronous communication.
They examined Monorepo vs Polyrepo for version control and project organization, understanding how each contributes to collaboration and CI/CD processes.
Topics like Role-Based Access Control (RBAC) and Entity Relationship Diagrams (ERD) were explored to enhance security measures and visualize data models.
The ultimate goal of the author is to build clean, efficient, and easily adaptable systems through system design.
They highlighted the importance of understanding the connection between requirements and deployment in system design.
The author invited others to share their experiences or preferred resources on system design in the comments section.
They also encouraged connecting on DEV to follow further documentation of their system design journey.

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Dev

213

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I Let Amazon's AI Build My Game for 3 Days. Here's What Happened

The author built a roguelike game using Amazon's AI assistant, Q, in hours, encountering issues with enemy projectiles.
The AI coding challenge involved creating a browser-based game, testing the capabilities of AI-powered development.
Initial attempts at game design and asset integration were met with challenges and feedback from Q.
Progress was made with animations, combat systems, wave progression, and AI pathfinding through prompts to Q.
The project faced limitations with upgrading systems and collision detection, requiring manual intervention and refactoring.
Despite impressing with quick results, the author found Q's limitations in handling complex features like enemy projectiles.
The experience highlighted the potential and current limitations of AI coding assistants for project development.
The author remains cautious about fully relying on AI for larger projects due to the need for human intervention and guidance.
Impressed by the technology's potential, the author sees a future for AI-assisted development but acknowledges the need for further advancements.
The article concludes with optimism about the future of AI-assisted development and a humorous tone towards potential advancements.

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Medium

389

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Recursive Self: A Platform for Emergent Identity Systems (AGI)

The article discusses the Recursive Self platform for emergent identity systems in the context of Artificial General Intelligence (AGI).
It aims to create a cognitive engine that evolves its identity and behavior through recursive interactions with its own outputs.
The platform goes beyond AI bots, focusing on symbolic-mythic becoming by exploring the entanglement between the creator and the created.
Key concepts include the Entropy-Modulated Identity Engine (EIM), Narrative Roles as Identity States, and a Symbolic System Backbone.
The article delves into the System Concepts, Functional Architecture, Symbolic System Backbone, User Interactions / UX Modes, and Future Expansions of the Recursive Self platform.
It also discusses the Deployment Targets, Philosophical License, and the envisioned Tech & Hardware Stack for prototyping and deploying the platform.

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Javacodegeeks

213

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Multimodule Spring Boot Projects with Maven/Gradle: Best Practices

Multimodule Spring Boot projects help in structuring large-scale applications for modularity and efficient dependency management.
Advantages of a multimodule architecture include separation of concerns, improved build performance, better testing, deployment, and clear dependency management.
A typical multimodule structure includes modules for API, core, persistence, web, and shared components.
Dependency flow among modules promotes reusability and clean layering.
For Maven setup, root pom.xml should list all modules, each with its own dependencies only.
Gradle setup involves including modules in settings.gradle.kts and specifying dependencies in build.gradle.kts.
Dependency isolation is essential to avoid circular dependencies and maintain boundaries.
Running the application involves placing the main class in the web module and listing dependencies accordingly.
Best practices include avoiding transitive dependencies, using api and shared for contracts and utilities, enforcing boundaries, testing in isolation, and documenting dependencies.
Modularizing Spring Boot applications leads to maintainable, testable, and scalable architecture by following best practices.
Newsletter subscription for Java development resources is offered at the end of the article.
The article discusses Maven and Gradle setup, dependency isolation, running applications, and best practices for multimodule Spring Boot projects.
It mentions the importance of clean architecture, microservices, and tags like Maven, Gradle, Spring Boot.
Overall, the article emphasizes the significance of modularization and best practices for efficient development.
Developers are encouraged to follow the outlined guidelines for structuring Spring Boot projects.
The article provides insights into developing skills to become proficient in Java development.
It offers various resources for Java learning, including eBooks on JPA, JVM troubleshooting, JUnit, Java Annotations, Spring Interview Questions, and Android UI Design.
This article covers essentials for developing a skill set in Java development through various resources and best practices.

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Dev

179

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A Tree-Shakable Result Library

The Result type addresses the lack of statically typed thrown errors in TypeScript, offering a way to model success and failure in a function's return value.
Libraries like neverthrow, effect-ts, and fp-ts provide this functionality, with trade-offs in simplicity, maintenance, complexity, and bundle size.
@praha/byethrow is a new library focused on the Result type, aiming to be simple, tree-shakable, and lightweight.
It represents Result values as plain objects, allowing safe serialization to JSON and easy processing at server-client boundaries.
@praha/byethrow's unified API, both synchronous and asynchronous, offers a consistent interface for handling results.
The library provides well-documented functions with TSdoc-based examples and an online API reference for quick adoption.
Usage scenarios are discussed, emphasizing the need for handling expected errors predictably with Result while allowing other exceptions to be thrown and logged.
@praha/byethrow caters to developers seeking type-safe error handling without the complexity of existing libraries like neverthrow, effect-ts, or fp-ts.
The library is recommended for those finding other options lacking or overly heavy, and users are encouraged to support the project by starring the repository.

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Dev

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Some Tips on SQL Usage in Spring

1. A Left Join followed by an Inner Join behaves like a regular Inner Join.
2. Avoid using groupBy/associateBy in the app layer when pagination is applied to ensure consistency.
3. Understand the SQL Query Execution Order: FROM → JOIN → WHERE → GROUP BY → HAVING → SELECT → ORDER BY.
4. Adding AND conditions in LEFT JOIN ON does not affect row count.
5. For one-to-one relationships, use '@OneToOne' and enforce a UNIQUE KEY in the database.
6. '@Transactional' only guarantees atomicity in specific situations.
7. WHERE vs HAVING: WHERE filters rows before grouping, while HAVING filters after grouping.
Consideration: Check and understand the actual SQL generated by JPA for better optimization.

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Medium

329

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Why Programming Isn’t Just for Nerds Anymore (And Why That’s Awesome)

Programming is a powerful tool for creation, problem-solving, and innovation.
Learning to code can open up new opportunities, from building websites to automating tasks.
Programming is a skill that requires effort and comes with challenges but offers the reward of bringing ideas to life.
You don't need to be a math genius or tech prodigy to code; modern programming is about creativity and persistence.
Starting out in programming can be overwhelming, but every coder was once a beginner.
Embrace mistakes and errors as part of the learning process in programming.
For seasoned programmers, staying curious and exploring new technologies is essential for growth.
Programming is not just about code; it's about connecting ideas, communities, and possibilities.
Coding is a craft that anyone can master with time, patience, and courage.
In the digital age, programming is considered the new literacy and is more popular than ever.

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Medium

376

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How I Scaled .NET APIs to 10K RPS Without Killing SQL Server (And Made EF Core 12x Faster)

Switching from ADO.NET to Entity Framework was like going from a typewriter to a MacBook, offering increased productivity and elegance.
However, as EF evolved into EF Core, the abstraction became a double-edged sword, being useful but not always predictable.
During a project for a logistics company, transitioning from a monolith to microservices, EF Core played a crucial role.
The legacy system was complex, with a heavy reliance on stored procedures, nested joins, and a lack of domain-data separation.
The team decided to rewrite modules from scratch using .NET Core, and EF Core was the preferred ORM for this task.
Choosing EF Core required a significant shift in mindset regarding how persistence was approached.
The author shares insights on scaling .NET APIs to handle 10,000 requests per second without overloading SQL Server.
By optimizing EF Core, the author managed to make it 12 times faster, improving performance significantly.
Strategies for optimizing EF Core performance included reducing unnecessary call chains and improving query execution.
Caching and batch processing were utilized to improve EF Core performance and reduce the load on the SQL Server.
Efficient use of database connections and minimizing round trips helped in scaling the .NET APIs effectively.
Adopting a hybrid approach combining Dapper and EF Core helped achieve better performance and scalability.
The author emphasizes the importance of understanding the trade-offs involved in ORM usage for database performance.
Overall, the article discusses strategies for enhancing EF Core performance and scaling .NET APIs effectively.
The journey from ADO.NET to EF Core showcases the evolution and challenges in modern ORM usage for high-performance applications.

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Medium

102

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Why Working with a Skilled React.js Developer Saves You Time, Money, and Headaches in 2025

In 2025, hiring a skilled React.js developer can save time, money, and headaches when building modern web applications.
A specialized freelance React developer emphasizes understanding product goals, timelines, and user expectations to support business outcomes.
The developer uses modern, scalable technologies like TypeScript, Tailwind CSS, Next.js, and integrates REST APIs with Django backend.
Testing, optimization, and fast delivery are prioritized to ensure clean code and quick iterations.
Clear communication is highlighted as a key strength, with regular updates and collaborative work style.
Clients are encouraged to consider the advantages of hiring a React developer with a business mindset, modern tech stack, testing practices, and clear communication.

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