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Embabel: Unleashing the Power of Advanced AI Agents in Java Applications

Embabel, founded by Rod Johnson, aims to simplify AI agent development in Java applications, offering a comprehensive platform for creating goal-oriented agents.
The platform streamlines AI integration in Java, aligning with established engineering practices and making it accessible for developers.
Embabel recognizes the need for structured agent behavior, autonomous actions, and goal achievement within applications.
AI agents play a crucial role in modern software architecture, providing dynamic capabilities beyond simple query-response interactions.
Embabel introduces foundational concepts like Actions, Goals, and Conditions for structured agent development.
Embabel utilizes Goal-Oriented Action Planning (GOAP) for sophisticated planning, allowing agents to dynamically formulate plans to achieve goals.
The platform's key features aim to enhance AI development efficiency, reliability, and integration within the Java ecosystem.
Embabel's higher-level abstraction focuses on building intelligent agents capable of performing multi-step tasks and dynamic decision-making.
It challenges the dominance of Python in AI development, enabling Java teams to leverage AI capabilities using existing skills and infrastructure.
Embabel empowers Java developers to participate in the AI revolution, allowing them to build advanced AI agents and drive innovation in enterprise applications.

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Medium

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Why Your API Feels Slow — And How to Fix It

API performance is often overlooked until it becomes a bottleneck.
Practical ways to improve API performance include optimizing network latency and implementing caching.
Performance issues commonly originate from the database, requiring proactive solutions.
Avoiding overloading tasks and optimizing the environment are crucial for faster APIs.
Monitoring and good design play pivotal roles in enhancing API performance.
Improving API performance may not necessitate a complete overhaul but rather strategies like compression, caching, and scaling.
Measuring, identifying bottlenecks, and optimizing systematically enhance overall product speed.

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Dev

166

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What Is the Walrus Operator (:=) in Python and Why It's So Useful

The walrus operator (:=) in Python allows assigning a value as part of an expression.
It enables saving a value and using it immediately in a single line, making the code cleaner and more concise.
An example use is within a while loop where user input is assigned to a variable and checked in the same line.
The operator is beneficial when combining assignment and comparison, especially in loops or list comprehensions.
It helps in avoiding the repetition of the same function calls and can enhance code readability if used appropriately.
A caution is given against overusing the walrus operator as it may complicate code readability.
A bonus example demonstrates using the walrus operator for reading a file line-by-line in a concise manner.
Overall, integrating the walrus operator into coding practices can simplify logic and improve code expressing in suitable scenarios.

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Medium

200

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AI Coding Tools: Making Programming Easier for Everyone

AI coding tools like DeepCode, Amazon CodeWhisperer, Android Studio Bot, Codiga, CodeWP, and Polycoder aim to simplify programming by assisting with bug detection, code completion, and more.
DeepCode, integrated with Snyk, uses AI to identify code issues often missed by humans, working seamlessly with platforms like Visual Studio Code.
Amazon CodeWhisperer offers real-time code completions, particularly beneficial for AWS projects, with a free individual plan available.
Android Studio Bot, now Gemini, assists Android developers by providing tailored code suggestions and explanations within Android Studio at no cost.
Codiga functions as a spell-checker for code, providing real-time feedback and enforcing coding standards, suitable for team collaboration.
CodeWP specializes in generating WordPress code snippets based on natural language input, aiding both developers and non-technical users.
Polycoder, an open-source tool trained on extensive codebases, can generate code in various languages like C, Python, and JavaScript for free.
These AI tools cater to different coding needs, from bug detection to code generation, enhancing efficiency and accessibility for developers.
Whether you're a professional developer or a novice looking to enhance your coding skills, there's a tool available in this AI coding toolset.
The tools mentioned in the article demonstrate how AI aids in streamlining coding processes and understanding complex systems effectively.
The availability of these AI tools encourages individuals to explore coding with assistance, focusing on creativity while reducing repetitive tasks.

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Medium

How to Self-Learn Python in 2025 — The Ultimate Beginner’s Guide

Python is a popular language for beginners and job-seekers alike, known for its readability and versatility.
To start learning Python in 2025, one can download the latest Python version from Python.org and use tools like Visual Studio Code, Replit, Google Colab, GitHub, and Jupyter Notebooks.
Begin by mastering foundational concepts, practicing daily, and working on small projects.
For data science or machine learning, consider using Anaconda.
Progress by picking a specific path and engaging with relevant resources.
Understand code rather than just copying and pasting it, and utilize tools like Replit, Kaggle Learn, LeetCode Python, and Official Python Docs for interactive learning.
Python offers not just programming skills, but a way to bring ideas to life.
In 2025, self-learning Python can lead to job-ready skills for various career paths, emphasizing the importance of curiosity, continuous learning, and hands-on practice.
Self-learners are encouraged to start coding, no matter how small, as a way to progress and create meaningful projects.
The article provides tools, resources, and guidance for anyone interested in self-learning Python.
Readers are invited to follow the author for more self-learning tips on tech, creativity, and DIY coding projects, and to ask any questions in the comments section.

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Dev

234

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WWDC 2025 - What’s new in App Store Connect

The latest App Store Connect updates introduce significant enhancements for managing app distribution, discoverability, and communication with users.
Key updates include API-driven build uploads, webhook integration for real-time monitoring, and Apple-hosted background assets for rich content experiences.
Enhanced discoverability features include machine learning-generated app store tags and custom product pages with keyword assignment.
TestFlight integration offers native mobile feedback workflows, while expanded offer code capabilities enhance monetization strategies.
User communication improvements include automated review summaries and a granular age rating system for parental control.
Accessibility nutrition labels reflect Apple's commitment to inclusive design and accurate representation of app capabilities.
Strategic implementation considerations emphasize development workflow integration, metadata strategy, testing, and architecture implications.

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Dev

106

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WWDC 2025 - Wake up to the AlarmKit API - iOS 26

Apple introduces AlarmKit in iOS 26, revolutionizing time-sensitive notifications in applications.
AlarmKit ensures critical time-based events reach users regardless of silent mode or focus settings.
It supports schedule-based alarms for specific dates/times and countdown-based alarms for intervals.
User consent is required through explicit authorization states: notDetermined, authorized, and denied.
Core architecture includes countdown duration, flexible scheduling, and presentation customization.
Live Activities integration offers responsive interfaces on Lock Screen and in StandBy mode.
Custom metadata system allows passing contextual information between scheduling and Live Activity presentation.
Advanced customization features include custom actions with App Intents and audio/system fallbacks.
AlarmKit is suitable for guaranteed delivery scenarios like cooking timers, medication reminders, and wake-up alarms.
User experience design focuses on clarity, usability, and hierarchy in alarm presentations.

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The Pragmatic Engineer

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Being an “Intrapreneur” as a software engineer

To thrive as a software engineer in today's tech market, developing intrapreneurial skills can be invaluable.
Intrapreneurship, a combination of internal and entrepreneurial skills, involves running towards problems, taking ownership, investing in relationships, and more.
Chaitali Narla, a seasoned engineering executive, highlights seven habits of successful intrapreneurs.
These habits include running towards problems, taking end-to-end ownership, investing in cross-functional relationships, seeking sponsorships, making impact visible, not fearing rejection, and being proactive in all aspects.
Developing these skills can lead to career success within a company, prepare for new opportunities, or even launch a startup in the future.
Chaitali Narla shares her journey from an intern to director at Google, emphasizing the importance of intrapreneurial leadership.
She provides practical examples from her experience, like addressing inefficiencies in data seeding and streamlining project setup processes.
The article also touches upon the significance of cross-functional relationships, translating technical aspects for non-engineering stakeholders, and building networks proactively.
It stresses the need for gaining sponsorships not just for promotions but also for overall career growth and advancement.
Overall, the article encourages software engineers to cultivate intrapreneurial skills to navigate the competitive tech market successfully.

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Dev

260

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Exploring Firestore with Micronaut and Java 21: A Scalable NoSQL Solution for Modern Applications

Choosing data storage for microservices is crucial; NoSQL can be more scalable in serverless environments.
Google Cloud Firestore is explored as a serverless NoSQL database for modern applications, particularly AI and ML workloads.
Firestore integrates well with tools like LangChain and LlamaIndex for various patterns like document loaders and vector stores.
Firestore simplifies integration with AI services, enabling features such as automated embedding generation and image classification.
Using Firestore with Micronaut and Java 21 for server-side development is detailed in the article.
Setting up the project, client libraries, and configuring Firestore client are essential steps in working with Firestore.
Code examples for creating a Firestore controller, validating feedback requests, and writing data to Firestore are provided.
Firestore is highlighted as a great choice for scalable, AI-powered microservices in a serverless environment.
The article emphasizes focusing on business value rather than infrastructure management with Firestore and Micronaut.
Firestore with its scalability and integration with Micronaut simplifies building serverless, AI-powered applications.

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Medium

363

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Why Logos Are Getting Boring

Logos in the marketing world are increasingly losing their personality and being simplified.
Visual identity encompasses more than just a logo, including colors, fonts, website designs, and image styles.
Large corporations have detailed brand manuals dictating how every visual element should be presented.
There is a trend in logos towards simplification as companies aim for a more streamlined and minimalist look.
This trend is driven by a desire for uniformity and consistency across various platforms and marketing channels.
Logos are being stripped down to their essential elements as part of this simplification process.
The concept of visual identity is often misunderstood by those outside the design field.
Small businesses might only require a logo and a few brand colors, while larger corporations have more complex visual branding requirements.
The battle for simplification in logos is a widespread phenomenon across the industry.
The shift towards minimalism in logo design is driven by the need for a cohesive brand image across different mediums.
Visual identity plays a crucial role in defining what a company stands for.
Logos form just one part of a brand's overall visual identity.
The quality of logos in marketing is perceived to be declining as they become more generic and stripped of individuality.
There is a push for logos to be more streamlined and simplified across the board.
The changing landscape of logos reflects a broader trend towards minimalist and clean design aesthetics in branding.

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Dev

166

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What is git? and what is .yml file

Git is a distributed version control system that allows users to work with complete repositories locally and then sync them with a server.
Version control systems track and manage changes to software code, helping software teams manage code changes over time.
GitHub is a popular version control platform known for its extensive marketplace of third-party integrations, while GitLab remains open source with a smaller integration selection.
GitHub's popularity increased after being acquired by Microsoft in 2018, leading to promotions and improved features.
A .yml file, or YAML file, is a human-readable data serialization format commonly used for configuration files and data exchange.
YAML stands for "YAML Ain't Markup Language" and is used for writing configuration files.
Other version control systems include Subversion (SVN), Mercurial, and Perforce.

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Dev

158

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Why I Used Goose to Build a Chaotic Emotion Detection App

The writer tapped into their inner child and used Goose to build a UI that reacts to users' emotions.
AI agents and vibe coding have rekindled the joy of programming, making problem-solving more creative.
A livestream series called The Great Goose Off celebrates joyful programming by creating silly and chaotic apps.
Experimenting with technology can help solve problems creatively.
Using Goose as a creative partner, the writer built a computer vision app that detects and responds to emotions.
Participants of The Great Goose Off gave open-ended prompts, resulting in imaginative and unpredictable outputs.
Choosing a performant model like Claude Sonnet 4 helped in handling errors and code documentation efficiently.
Prompt chaining involved breaking complex tasks into smaller, sequential subtasks for better implementation.
Version control and an iterative approach allowed for testing functionality incrementally and refining the app's behavior.
The writer, along with Goose, created an application where the interface reacts to facial expressions in playful ways.
Having fun and building for joy rather than just utility is encouraged to maintain passion in the industry.

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Medium

252

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The Road to Becoming a Python 10x Engineer

Python is a popular programming language known for its ease of use and versatility.
While Python allows for quick code bootstrapping and is often used for proof-of-concepts and machine learning, maintaining Python code can be challenging due to its lack of static typing.
An example code snippet is provided to illustrate how readability and understanding can be improved by implementing type hints and classes in Python.
Type hints, indicated by adding a ":" followed by the type of an object, provide context and make code more explicit.
By incorporating type hints, the code becomes more readable and easier to work with, especially when dealing with AI libraries.
Classes, which are traditionally used in object-oriented languages, are now available in Python and can improve modularity and readability of the code.
By introducing classes, the code becomes more structured and reusable, enhancing its readability and maintainability.
Implementing type hints and classes in Python code can elevate it to be more maintainable, scalable, and easily comprehensible without the need for extensive documentation.

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Mit

329

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Combining technology, education, and human connection to improve online learning

Caitlin Morris, an architect, artist, researcher, and educator, combines technology, education, and human connection to enhance digital learning platforms.
Growing up in rural New York, she learned practical skills early and taught herself to code through community-oriented platforms.
Morris emphasizes the importance of social interaction for motivation and curiosity in learning.
Engaged in various community-based learning activities, she organizes events, leads meetups, and contributes to open-source software development.
Her research at the MIT Media Lab focuses on social interaction and emotional gaps in online and AI-assisted learning.
Morris aims to develop AI-driven tools to enhance social curiosity and intrinsic motivation in digital learning environments.
As a MAD Fellow, she aligns with the program's goal of fostering creativity, critical thinking, and collaboration in non-traditional education approaches.
Her work involves creating interactive art installations that immerse visitors in experiences inspired by nature.
Morris also teaches design, coding, and technology at various educational levels, emphasizing non-traditional learning methods.
Her doctoral research seeks to bridge the gap between efficient digital learning platforms and the social interaction present in effective in-person learning environments.

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Mjtsai

205

Foundation Models Framework

Apple is introducing the Foundation Models framework to allow app developers to tap into the on-device model at the core of Apple Intelligence.
App developers can use the framework to create intelligent experiences for users that are offline, privacy-preserving, and cost-free.
The Foundation Models framework offers native support for Swift and easy access to Apple Intelligence models with minimal code.
Developers and users are impressed with the capabilities and performance of the on-device model, with positive feedback on the structured results it generates.
The Foundation Models framework is seen as a significant development, potentially revolutionizing AI capabilities in apps and leveraging Apple's developer base.
Some concerns were raised about the model's limitations on older devices and its quantization to 2 bits in macOS 26.
There are discussions about how Foundation Models could impact AI development and app functionalities, with users experimenting with its features.

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