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Hackernoon
4w
320
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SpringAI vs LangChain4j: The Real-World LLM Battle for Java Devs
- Java developers now have access to two frameworks, SpringAI and LangChain4j, for building AI applications within the Java ecosystem.
- While SpringAI follows a convention-over-configuration design style and offers a steep learning curve, LangChain4j is more explicit and modular, making it accessible for side projects and smaller stacks.
- Architecturally, LangChain4j involves connecting tools, memory, and chains, while SpringAI offers a full-stack AI Spring app with features like AI models, repositories, security, and observability.
- SpringAI provides structure and safety with magic beans for calling functions, while LangChain4j offers explicit tools for more control. In terms of memory management and streaming responses, LangChain4j requires more manual work but provides total control.
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PlanetPython
4w
254
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Django Weblog: DSF calls for applicants for a Django Fellow
- The Django Software Foundation announces a call for Django Fellow applications to maintain the Django framework.
- The Fellowship program provides resources for maintaining Django, currently supporting two Fellows and funding for a new full-time Fellow.
- Responsibilities of a Django Fellow include monitoring security, fixing release blockers, triaging tickets, reviewing pull requests, and mentoring.
- Applicants for the Django Fellow position must have technical expertise in various areas, professional skills, and open-source contributions with an hourly rate of $82.26 USD.
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Medium
4w
273
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Forget Bootcamps: These 10 Tools Taught Me More Than Any Course
- Developers often have a personal connection with the tools they use, which shape their craft over time.
- A developer shares 10 open-source tools that have significantly impacted the way they approach development.
- The list includes tools that have not only saved time but also changed the developer's perspective on building applications.
- The tools mentioned are based on the author's personal experience and have earned a place in their long-term toolkit.
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Medium
4w
57
Image Credit: Medium
Do Kinaray Episode 19 (Subtitles) 9th June 25 - Digitally Powered By K&Ns Momina Iqbal - Junaid…
- Watch Do Kinaray Episode 19 (9th June 2025) with English subtitles on Green TV featuring Momina Iqbal and Junaid Khan.
- The episode showcases an intense drama with a shocking twist as revealed in the review and recap.
- The cast includes Junaid Khan as Walid, Momina Iqbal as Dureshehwar, and various other talented actors in significant roles.
- Directed by Syed Faisal Bukhari and written by Rehana Aftab, the drama is presented by Multiverse Entertainment and digitally powered by K&Ns.
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Medium
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231
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Getting Started with LaunchDarkly in React: A Beginner’s Guide
- Feature flags, also known as feature toggles, enable developers to control the visibility of features at runtime without redeploying code.
- LaunchDarkly is a platform that allows for feature flag implementation and management at scale, enabling safe feature releases, targeted user experiences, real-time control, and experimentation.
- To leverage feature flags in React with LaunchDarkly, the process involves creating a FeatureFlag component, setting the Client-side ID in the .env file, installing the LaunchDarkly Client SDK, and creating a Feature Flag on the LaunchDarkly Dashboard.
- Additionally, creating a FeatureFlag Hook & Wrapper Component, mapping custom attributes to Feature Flags, and utilizing feature flags within components based on user attributes are essential steps in implementing feature flags with LaunchDarkly in React.
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13 Likes
Dev
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71
Image Credit: Dev
⛵Build a Collaborative App with Real-Time Comments & @Mentions Using Velt, Clerk Auth, Prisma & Radix UI🔑
- Real-time commenting with @mentions enhances user engagement and community-building in web apps.
- Building a real-time commenting system from scratch involves challenges in frontend and backend development.
- Velt SDK simplifies real-time collaboration by providing components for live commenting, notifications, and mentions.
- Prisma is chosen for handling complex data relationships in the commenting system.
- Radix UI offers accessible components for UI design while ensuring flexibility via CSS in the app.
- Clerk Auth integrates seamlessly with Next.js to manage user authentication and API route security.
- The comment system architecture involves data storage, real-time data sync, API endpoints, authentication, input validation, and notifications logic.
- Implementation using Velt includes authentication setup, provider configuration, and integrating real-time collaboration features.
- Tests are set up for comment components and API endpoints, ensuring reliability and error handling.
- Security best practices include authentication protection, input validation, secure user identification, handling safe responses, error management, and testing.
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Dev
4w
249
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Claude 4 First Impressions: A Developer's Perspective
- Anthropic's Claude 4 achieves a groundbreaking 72.7% on SWE-bench Verified, surpassing OpenAI models and setting a new standard for AI-assisted development.
- Claude 4 represents a strategic push towards 'autonomous workflows' for software engineering, emphasizing reduced reward hacking and alignment with best practices.
- Real-world testing showcased Claude 4's capabilities in resolving complex test failures within minutes, demonstrating system-level reasoning and precision under pressure.
- Initial assessments indicate Claude 4's revolutionary AI coding capabilities with reliable adherence to principles, single-iteration problem resolution, and seamless integration in sophisticated development environments.
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Python Blogs
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274
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How to find out if someone is a catfish by picture for free?
- Catfishing, a deceptive practice online, can be detected by analyzing the person's pictures using free tools and methods.
- Verifying a picture is crucial in protecting emotions, finances, and private information from scammers using fake identities.
- Methods include reverse image search tools like Google, TinEye, and Yandex, analyzing photo metadata, examining image quality, checking social media footprint, and requesting video calls or real-time photos.
- Tips to stay safe include trusting instincts, avoiding sharing personal information, not sending money, and reporting suspicious activity to the platform.
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Self-Learning-Java
4w
332
Image Credit: Self-Learning-Java
Partitioning by TIMESTAMP Column in BigQuery
- BigQuery only supports partitioning by DATE, INTEGER, or RANGE, but not directly by a TIMESTAMP column.
- To partition a table by a TIMESTAMP column in BigQuery, you should explicitly cast it to DATE.
- Converting TIMESTAMP to DATE ensures all rows from the same UTC day are placed in the same partition.
- Data inserted in a partitioned table must be consistent with the partitioning key to avoid errors.
- Query 'INFORMATION_SCHEMA.PARTITIONS' can be used to verify the partitions created for a table in BigQuery.
- Integer partitioning in BigQuery improves query performance and reduces costs by scanning relevant partitions only.
- Partitioning a table by an integer column like order_year requires specifying start, end, and interval values.
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Self-Learning-Java
4w
138
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How to Track Endpoint Usage with Prometheus Counters in Java?
- Prometheus Counters are used to track metrics that only increase, like the total number of requests in an application.
- Counters measures how many times something has happened, such as HTTP requests or errors occurred.
- Naming conventions for Counters require unique names starting with a letter and ending with _total.
- A sample Java application is created to expose endpoints like /health and /user-profile, while incrementing respective Counters.
- Metrics are scraped by Prometheus from the /metrics endpoint using CollectorRegistry.defaultRegistry.metricFamilySamples() method.
- The output from /metrics includes metadata comments describing the metric purpose, type (counter or gauge), and the current value.
- Automatically added *_created metrics in Prometheus indicate the time a Counter was created, aiding in troubleshooting and monitoring.
- Prometheus UI can be configured to display these metrics by updating the prometheus.yml file and attaching the target.
- Using Prometheus queries like rate(user_profile_requests_total[5m]) helps analyze the rate of requests coming to specific endpoints.
- Monitoring tools like Grafana can leverage timestamps to detect when a metric was first seen and calculate metric age.
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Dev
4w
187
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🚀 Streamline Your Python & Django Development with Production-Ready Cookiecutter Templates
- A collection of comprehensive cookiecutter templates has been created to generate production-ready Python apps, PyPI packages, Django REST APIs, and DRF packages with modern tooling and best practices.
- The templates cover Python app, Python package, Django REST app, and DRF package scenarios, each with specialized configurations and tools for their specific use cases.
- Features include modern tooling out of the box, production-ready architecture, and a zero-configuration philosophy for immediate project setup.
- Intelligent dependency management with UV, dual type checking with mypy and pyright, and quality metrics automation are key aspects of the templates.
- The templates adhere to modern Python practices, offer production deployment readiness, and provide real-world usage examples for building SaaS APIs, publishing libraries, and DRF extensions.
- Key features include testing excellence, documentation standards, CI/CD pipelines, advanced testing features, and code quality enforced through pre-commit hooks.
- Common questions regarding customization, database migrations, and choice of tools like UV over pip/poetry are addressed in the article.
- Future roadmap plans include adding FastAPI template, Next.js + Django full-stack template, Kubernetes deployment configurations, more cloud provider integrations, and additional authentication providers.
- Getting started is easy by installing cookiecutter, generating a project using the provided GitHub repository, choosing a template, configuring options, and starting development immediately.
- The cookiecutter templates aim to save time spent on project setup, promote modern Python best practices, and improve the development experience for various types of projects.
- Developers are encouraged to try the templates for their projects and provide feedback for continuous improvement.
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Self-Learning-Java
4w
227
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Getting Started with Prometheus in Java: A Hello World Example Using client_java
- To start working with Prometheus in Java, a Hello World example using client_java library is provided.
- First step includes creating a new maven project 'prometheus-demos' and updating pom.xml with necessary Prometheus dependencies.
- Second step involves creating a package 'com.sample.app' and defining the PrometheusHelloWorld application.
- Once the application is running, metrics can be viewed by accessing the URL http://localhost:8080/metrics and configuration should be added to the prometheus.yml file.
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Insider
4w
53
Image Credit: Insider
Nvidia CEO Jensen Huang says programming AI is similar to how you 'program a person'
- Nvidia CEO Jensen Huang describes programming AI as similar to programming a person.
- At London Tech Week, Huang highlighted that AI could be programmed using plain language, terming it the 'great equalizer.'
- He emphasized the shift towards using 'human' as the new coders' language, making technology more accessible to everyone.
- Huang believes AI is transformative and envisions a future where computing technology no longer requires traditional coding, making everyone a 'programmer.'
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Insider
4w
624
Image Credit: Insider
Sundar Pichai says AI is making Google engineers 10% more productive. Here's how it measures that.
- Google CEO Sundar Pichai reveals that the company is tracking how AI tools are increasing engineers' productivity.
- Pichai estimates a 10% boost in engineering capacity due to artificial intelligence at Google.
- The company measures this increased productivity by tracking the additional engineering capacity gained through AI-powered tools.
- Google is not only focusing on boosting productivity but also on using AI to generate code, with over 30% of new code generated by AI.
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RealPython
4w
111
Image Credit: RealPython
Python Hits the Big Screen and Other Python News for June 2025
- A newly announced documentary, Python: The Documentary, offers a behind-the-scenes look at Python's history and culture, featuring key contributors like Guido van Rossum and generating buzz in the Python community.
- Python 3.14.0 enters beta with features like template strings, deferred annotations, Sigstore for release verification, enhanced JIT compiler, and a safe external debugger interface, with the final release scheduled for October 2025.
- Three accepted PEPs focus on typing, installation, and compression, aiming to improve Python's capabilities and user experience.
- The Python community is energized with new leadership at the PSF, impactful updates, and ongoing conferences fostering inclusion, learning, and connection.
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