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Towards Data Science
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AI Agents from Zero to Hero — Part 2
- AI Agents are autonomous programs that perform tasks, make decisions, and communicate with others.
- Agents organize tasks into a logical progression and adapt their strategies in dynamic environments.
- Iterations involve repeating actions with slight changes or improvements in each cycle to refine output or reach optimal solutions.
- Chains are sequences of linked actions where each step depends on the previous one, forming a continuous flow of operations.
- The tutorial demonstrates using iterations and chains for AI Agents, with Python code examples for practical application.
- Tools like YahooFinance APIs and matplotlib are utilized to download and visualize financial data.
- The article introduces a function to process model responses and handle the usage of tools by the Agent.
- By incorporating iterations, the Agent can retry actions multiple times to solve problems and adapt.
- Chains allow for a linear sequence of actions, with outputs of one step used as inputs for subsequent steps, enhancing problem-solving capabilities.
- The structured approach using iterations and chains enhances the reliability of AI Agents, enabling developers to create customized solutions for various scenarios.
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Medium
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Vibe Coding: How I Stopped Overthinking and Started Creating Cool Sh*t
- Vibe Coding is a mindset that combines creativity and AI tools to bring ideas to life.
- The concept started when the author discovered the power of using AI, such as ChatGPT, to generate code snippets.
- The author turned the vibe into a brand by designing t-shirts that embody the creativity and rebellious energy of vibe coding.
- Vibe Coding is about building without fitting into traditional tech norms, hustling 24/7, or sacrificing creativity.
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Dev
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What's the point of a rockstar developer?
- The reliance on 'rockstar' or '10x' developers highlights a lack of quality company leadership.
- The presence of blocked and broken projects signals management issues within the company.
- Hiring a capable management team is crucial to coordinate important engineering work.
- A 'rockstar' developer, when properly utilized, can greatly benefit the company.
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Dev
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Can AI outsmart Human beings?
- Software developers play a vital role in our increasingly software-driven world, but their role is evolving due to technological advancements.
- The integration of artificial intelligence (AI) and automation in development workflow is changing the game – from AI-assisted coding to automated testing and deployment.
- The scope of software development is expanding, including domains like IoT, edge computing, quantum computing, VR/AR, and cybersecurity.
- Apart from technical skills, soft skills and adaptability are becoming increasingly crucial, and specialized roles are on the rise in the field of software development.
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Medium
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From Singletons to Actors
- Developers are moving from Singletons to the actor model in Swift 6.
- Swift 6's Sendable protocol guarantees thread safety for types crossing concurrency boundaries.
- Distributing state across domain-specific actors improves thread safety, modularity, and testability.
- The actor paradigm is not just a replacement for Singletons but a new way of thinking about state isolation.
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Dev
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How Token-Based Authentication Works: A Practical Walkthrough
- Token-based authentication is essential for securing web applications.
- Token-based authentication involves generating a token after successful login.
- The token acts as a temporary digital key, allowing access to protected pages.
- When the token expires, users are redirected to the login page for re-authentication.
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Medium
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DWF Labs initiates $250M initiative for widespread crypto acceptance
- DWF Labs is launching a $250 million initiative to promote widespread crypto acceptance.
- They plan to make strategic investments ranging from $10 million to $50 million into projects with 'real-world adoption' potential.
- The focus is on supporting mid- to large-cap projects and helping new users discover and understand the value of these projects.
- The initiative aims to overcome obstacles in the crypto space and attract more funds and talent.
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PlanetPython
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Mirek D��ugosz: Interesting bugs: peculiar intermittent failure in testing��pipeline
- The article discusses a peculiar intermittent failure encountered in a testing pipeline.
- The author describes maintenance of a suite of automated tests, with one test repeatedly failing intermittently.
- The failing test involved checking a chart plotting data from the last 30 days against data retrieved from an API.
- Despite local transformations to align the data structures, the test would intermittently fail without a clear reason.
- Deepdiff comparisons were used for data validation, highlighting differences that were challenging to interpret in the logs.
- The author attempted to isolate the issue by running the test locally but was unable to reproduce the problem.
- Further analysis revealed discrepancies in the date ranges requested from the API and displayed on the UI, leading to the intermittent failures.
- A pattern was observed where the test failed only in the first run of the day shortly after midnight UTC, hinting at a time-related issue.
- Additional logging was added to gather more information on the discrepancy between JavaScript and Python times during test execution.
- Ultimately, the issue was traced back to clock synchronization problems on machines running Selenium Grid, resolved by configuring NTP to use a specific server.
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Medium
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369
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Why I Don’t Recommend Bootcamps or Computer Science Degree Programs
- The writer was unable to find a job as a software engineer despite having some available opportunities.
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Dev
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The Building Blocks of an AI Coding Assistant
- The article discusses the essential building blocks of an AI coding assistant by exploring continue.dev as an open-source platform revolutionizing AI coding tools.
- It emphasizes the importance of understanding components like Models, Context, Docs, MCP Servers, Rules, Prompts, and Data to effectively utilize AI coding assistants.
- Models in coding assistants define deep learning models for various roles such as Chat, Autocomplete, Edit, and more, with support from providers like OpenAI, Amazon Bedrock, and others.
- Context blocks allow pulling data from external sources like documentation sites, while Docs blocks index documentation locally for quick reference.
- MCP Servers, based on the Model Context Protocol, share language model tools standards and are integral to AI coding assistants.
- Rules in coding assistants provide instructions for generating relevant code, following specific guidelines such as Effective Go Principles in Go programming.
- Prompts offer reusable chat prompts for assisting with tasks, exemplified by the 'Go Hype Beast' prompt for idiomatic Go code suggestions.
- The article highlights the importance of adopting a block-based approach to AI assistants for customization, task specialization, and transparency in the coding process.
- By enabling a composable framework, continue.dev empowers users to build tailored coding assistants based on their needs and preferences.
- Users can leverage the seven building blocks to create personalized AI coding assistants, enhancing productivity and workflow efficiency.
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Dev
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49
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Building a Low-Level Game Engine from Scratch
- CHIFEngine is a low-level graphics engine focused on large-scale open-world games, designed for customizability and performance.
- The engine utilizes an Entity Component System (ECS) for modular and efficient entity handling, with a focus on cache efficiency and performance.
- CHIFEngine implements a custom job system for parallelizing tasks like physics, AI, and procedural generation, improving performance and scalability.
- Challenges in building the engine include memory management, procedural generation, and efficient asset handling.
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Dev
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144
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Worklets and Threading in Reanimated for Smooth Animations in React Native
- Reanimated is a powerful tool for building smooth animations in React Native.
- Worklets are short-running JavaScript functions that execute on the UI thread, offloading heavy computation and animation logic from the JavaScript thread.
- Worklets offer key features such as running in a separate thread, simple syntax, and performance optimization for gestures, transitions, and animations.
- Threading in Reanimated allows fine control over where and how functions run, including options like runOnJS, runOnUI, runOnRuntime, and createWorkletRuntime.
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Javacodegeeks
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0
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Hybrid Auth: Integrating Firebase with OAuth2 Proxy in Kubernetes
- This guide explains how to integrate Firebase with OAuth2 Proxy in a Kubernetes environment for hybrid authentication.
- Firebase Authentication is commonly used for user management, while Okta provides identity management and authentication solutions.
- OAuth2 Proxy acts as an authentication gateway, intercepting requests and ensuring authentication via an OAuth provider before granting access.
- The integration involves configuring Okta as an identity provider, deploying OAuth2 Proxy in Kubernetes, exposing OAuth2 Proxy with Kubernetes Ingress, and leveraging the Firebase Admin SDK for token exchange.
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The Pragmatic Engineer
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382
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Building Figma Slides with Noah Finer and Jonathan Kaufman
- Jonathan Kaufman and Noah Finer discuss the journey of building Figma Slides, from a hackathon project to a full-fledged product with over 4.5M slide decks created.
- They share insights on the tech stack, challenges faced, and engineering practices at Figma.
- Figma's unique engineering practices include using C++ for frontend development and engaging in EngCrits for feedback.
- The complexity of seemingly simple UI elements like the Single Slide View showcases the intricacies of Figma's development.
- The team rewrote parts of the C++ codebase to TypeScript and implemented feature flags for testing and deployment.
- Figma's testing approach involves running unit and interaction tests with feature flags on and off to prevent regressions.
- Engineering challenges included implementing multiplayer cursor functionality and ensuring interoperability between Figma products.
- The team utilized tools like DWARF debugging and internal tools for bug identification and resolution.
- Beta testing, zero bug policy, and staging environments were key components of Figma's development and release process.
- The conversation delved into details about Figma's engineering culture, tech stack, and design-first software engineering approach.
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Microsoft
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396
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Use BrowserStack App Automate with Appium UI Tests for .NET MAUI Apps
- This blog explores using BrowserStack App Automate to run UI tests for .NET MAUI apps written with Appium and NUnit.
- BrowserStack's App Automate allows testing on real iOS and Android devices in the cloud, providing access to 2000+ devices.
- It enables testing under real-world conditions, offering preset network conditions and the ability to customize them.
- The process involves setting up BrowserStack with existing Appium UI tests for .NET MAUI apps and integrating it into CI/CD pipelines.
- Steps include signing up for BrowserStack, creating credentials, and adding BrowserStack configuration files to projects.
- Automating tests with BrowserStack involves running them locally or integrating them into Azure DevOps Pipelines or GitHub Actions Workflow.
- Detailed test reports with logs, screenshots, videos, and session recordings are generated when tests are run on BrowserStack.
- Integrating BrowserStack App Automate ensures that .NET MAUI applications are tested on real devices to identify real-world issues.
- Running tests on actual devices aids in detecting issues that may only manifest under real-world conditions.
- BrowserStack App Automate streamlines running existing Appium NUnit tests on their Device Cloud for better testing efficacy.
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