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How to Design Modular Smart Contract In Solidity with Diamond Standard (EIP-2535)

Solidity faces challenges in smart contract development like the 24KB contract size limit, leading to the proposal of the Diamond Standard (EIP-2535) by Nick Mudge.
The Diamond Standard offers modularity and upgradeability by organizing logic into facets while using a central entry point for routing calls efficiently.
It aims to overcome issues like contract size limits, tight coupling, upgrade limitations, and gas inefficiency prevalent in traditional Solidity designs.
Key concepts include storage slot optimization, function call vs. delegate call, and function signature for routing calls in the fallback function.
The Diamond architecture consists of a main contract (Diamond) and multiple facets containing modular logic, enhancing scalability and maintainability.
Real-world applications of the Diamond Standard include powering modular gaming contracts like Aavegotchi and scalability in DeFi protocols and DAOs.
Pros include scalability, modularity, upgradability, and efficient storage organization, while cons entail complexity in setup and lower tooling support compared to proxies.
In conclusion, the Diamond Standard enables developers to address critical challenges in Solidity contract development, offering a scalable and maintainable solution for complex dApps.

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Dev

206

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Day 2: Deep Dive into Playwright Test Runner and Configuration playwright

Modern E2E testing with Playwright involves managing, configuring, and scaling tests efficiently.
The Playwright Test Runner is a robust framework supporting TypeScript/JavaScript, parallel execution, snapshots, fixtures and hooks, and more.
It eliminates the need for external frameworks like Jest or Mocha and integrates seamlessly with Playwright APIs.
The playwright.config.ts file serves as the central control hub for test behavior and configuration.
Fields in playwright.config.ts include testDir, timeout, retries, use (for context options), reporter, and projects (for cross-browser testing).
Playwright allows organizing tests using file and directory patterns and supports annotations for tagging and filtering tests.
Fixtures in Playwright aid in defining reusable test setup and teardown logic for scenarios like login flows or user roles.
Running and debugging tests in Playwright can be done using commands like npx playwright test and npx playwright test --debug.
Advanced options like targeting specific browsers using --project or running tests based on tags are available in Playwright.
Reports and trace viewer in Playwright provide detailed insights after test runs, including generating reports and view traces for debugging.
The Playwright Test Runner offers TypeScript/JavaScript support, parallelism, browser compatibility, customizable configuration, fixtures, and tagging.
Mastering the Playwright Test Runner and its configuration lays a strong foundation for scalable and maintainable test suites.

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Dev

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Introduction to monkey patching with pytest

The article introduces the concept of monkey patching in Python testing using pytest through a step-by-step example.
It starts by explaining a problematic function that reads files, making testing challenging due to file system interactions.
Monkey patching is defined as a technique to dynamically update code behavior at runtime.
The article guides through incremental improvements to the code by using monkey patching with mock objects for easier testing.
Different errors encountered during the process are addressed and resolved, leading to successful testing.
Mock objects like MockPath and MockReader are created to simulate real file operations in tests.
The article highlights the importance of testing and how to ensure the correct behavior of patched functions.
It concludes with suggestions on code abstraction and future steps for utilizing the testing framework.
The introduction to monkey patching in Python testing is aimed at providing a practical understanding of testing techniques.
Overall, the article serves as a useful guide for developers looking to improve their testing practices using monkey patching.
The article is eligible for web story generation as it provides clear steps, examples, and insights into a specific Python testing technique.

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Medium

145

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Advanced Python Type Hints for Scalable Codebases

Type hints in Python provide numerous benefits for developers in large and distributed teams.
Type hints are simple and readable, but real-world projects often require more complexity.
Type hints are crucial for a caching utility used for multiple data types and API responses with known fields of different types or optional fields.
They help in accepting any object with specific methods and restricting function inputs to known constants.
Type hints are useful for passing custom logic to utility functions, validation libraries, and documentation tools.
Advanced type hints make Python more maintainable, readable, and scalable, essential for data engineering, backend development, and large-scale APIs.
Using generics, protocols, literals, and unions in type hints improves correctness and enhances team collaboration.
Starting with basic type hints and gradually adopting advanced concepts, with the help of tooling, can make code more robust and understandable.

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Dev

407

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Building an Uncensored Multi-Agent AI Debate System locally with Ollama: A Step-by-Step Guide with full code.

The article introduces a project aimed at creating an AI debate system using Ollama's local LLMs to simulate structured debates.
The system features Affirmative Agents, Negative Agents, a Judge Agent, Debate Orchestrator, and a Debate State for analysis.
The chosen debate topic is 'Should autonomous vehicles be implemented on a large scale within the next decade?'
The project involves setting up the debate configuration, building the debate state machine, crafting the agents, and running the debate.
Agents include AffirmativeAgent, NegativeAgent, JudgeAgent, and DebateOrchestrator with specific roles and behaviors.
The article provides detailed code snippets for defining agents, setting up the debate, and running the debate simulation.
The system allows agents to present arguments, engage in rebuttals, and concludes with a judge's analysis based on the debate history.
The project aims to explore the potential of AI in structured reasoning, critical thinking, and educational applications.
Future aspirations include applications in legal arguments, political debates, and educational tools.
The article encourages extending the project by incorporating emotional scoring, diverse AI models, and graphical user interfaces.
Overall, the project showcases the power of AI in dynamic reasoning and structured debate environments.

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Medium

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Understanding Java Serialization, Deserialization, and Externalization

Java allows for object serialization and deserialization, crucial in networking and file management.
Serialization in Java is implemented through the java.io package, requiring classes to implement Serializable.
ObjectOutputStream and ObjectInputStream handle serialization and deserialization in Java.
The process involves writing object data to an OutputStream and reconstructing objects from the byte stream.
Using transient keyword excludes fields from serialization to protect sensitive data.
Externalization offers complete control over the serialization process by implementing Externalizable interface.
Externalizable classes define methods for writing and reading object data during serialization and deserialization.
Understanding serialization and externalization helps developers make informed decisions for efficient and safe Java applications.
Serialization allows objects to persist beyond the JVM, useful for various applications like distributed systems.
Serialization version identifier (UID) ensures compatibility during deserialization, preventing corrupt object data.

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Dev

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You're Reading Startup Books Wrong (And It's Killing Your Progress)

Reading startup books without taking action can hinder progress in building a business.
Success in entrepreneurship comes from learning by doing, not just from reading about doing.
Startup books provide valuable insights, but applying them to real problems faced during the entrepreneurial journey is crucial.
Creating a feedback loop and addressing real user issues based on feedback is essential for business growth.
Building a business involves starting with a simple MVP, getting feedback from real users, and continuously iterating.
The startup journey is characterized by failures, doubts, and continuous learning over time.
Prioritize practical learning through implementation rather than excessive reading before taking action.
Emphasizing the importance of building, testing, and adapting based on actual user experiences.
The key lies in creating tight feedback loops to accelerate learning and improvement in business development.
Encouragement to shift focus from consuming information to actively engaging in building and gathering real-world feedback.

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Dev

107

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Ditch Zapier: Automate Sales Follow-Ups with Python

The article discusses automating sales follow-ups using Python as an alternative to using tools like Zapier.
The author details how to replace parts of a CRM and automation stack with Python, Gmail API, and Google Sheets.
The automation involves monitoring a Google Sheet for new leads and sending customized follow-up emails via Gmail, with logging and timestamps.
Prerequisites include a Google Sheet with lead data, a Gmail account with API access, and basic Python knowledge.
The process involves connecting to Google Sheets using gspread and OAuth2 for retrieving lead data.
Sending emails via Gmail is done using smtplib and MIMEText for creating and sending personalized messages.
A full automation loop is described, where emails are sent based on criteria from the Google Sheet data.
Options for running the automation regularly include PythonAnywhere for scheduled tasks.
The article suggests replacing tools like Zapier, Make, or Pabbly with Python automation for cost savings.
Key takeaways for indie hackers include the versatility of Python for basic automation needs and the benefits of controlling data and reducing costs.
The author provides bonus resources for working with Google Sheets, sending emails with Gmail in Python, and using PythonAnywhere Scheduler.
The article ends with a call for suggestions on other tools to automate and a promotion for a local business website launch system.

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Medium

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Which Programming Language is the Best for You?

Programming languages are sets of instructions used to instruct computers to perform tasks.
They are categorized into High-Level, Low-Level, and Hybrid languages.
High-Level languages like Python, JavaScript, and Ruby are easier to learn and understand.
Low-Level languages like C, C++, and Swift focus more on machine understanding and are compiled.
Hybrid languages like Java and C# combine compilation and interpretation benefits.
Popular backend programming languages include Python, JavaScript (Node.js), C#, Java, and Go (Golang).
Python is versatile, JavaScript can be used on the backend with Node.js, C# is Microsoft's language, Java is known for portability, and Go is simple and fast.
Choosing a programming language depends on personal preference, job requirements, and desired outcomes.
Writing clean, scalable, and maintainable code is crucial regardless of the chosen language.
The author personally prefers Python and JavaScript but acknowledges preferences may change.

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Medium

270

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Hot Air Balloon Decorations Nursery

Using hot air balloons as ceiling decor with customizable colors for a charming nursery mobile.
Hot air balloon wall art options include stickers, prints, and murals for a creative feature wall.
Themed table lamps can add ambiance and serve as functional décor in a nursery.
Balloon patterned bed covers and nursery shelving decor tie the theme together seamlessly.
Safety tips include securely attaching decorations and placing heavier items away from the crib.
Online options for impressive hot air balloon patterns for nursery decorations are available.
Petit Pyla offers high-quality hot air balloon decorations in various colors and designs for nursery decor.
Their products ensure safety and durability for long use.
Hot air balloon decorated nurseries provide style, charm, and adaptability.
Creating a baby's dream nursery with hot air balloon decor is a timeless choice.
Whether buying pre-made decorations or crafting them, hot air balloon decor can add whimsy to a space.
Petit Pyla's decor options can help bring a baby's nursery vision to life.
The internet provides a wide range of hot air balloon decorations for nurseries.
Hot air balloon-themed nursery decorations are both functional and aesthetic.
Hot air balloon ornaments on shelves and themed items like pillows and blankets can enhance nursery décor.
Using a mix of soft pastel colors and neutral tones can help blend hot air balloon decorations with any nursery theme.

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Dev

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itertools in Python (7)

The post explains various itertools functions like count(), cycle(), repeat(), accumulate(), batched(), chain(), chain.from_iterable(), compress(), filterfalse(), takewhile(), dropwhile(), groupby(), islice(), pairwise(), starmap(), tee(), zip_longest(), product(), and permutations().
It mentions that itertools has functions to create iterators and more-itertools offers additional functions by installing with pip.
The post demonstrates the usage of combinations() and combinations_with_replacement() functions with different arguments and examples.
combinations() function returns unique combinations from an iterable.
combinations_with_replacement() function returns non-unique combinations from an iterable allowing for repetition.
The arguments for both functions include the iterable and the length of the returned tuple.
The post includes code examples and output for both combinations() and combinations_with_replacement() functions for different scenarios.
It concludes with examples showcasing how to iterate over combinations and combinations with replacement for specific lengths.

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Logrocket

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Designing a landing page with the UX rule of thirds

The article delves into the application and significance of the rule of thirds in design, tracing its origins back to the 1700s.
It explains how the rule of thirds divides an image into nine parts, emphasizing important aspects at the intersection points.
The rule of thirds is widely used in various design fields such as photography, logo design, landing pages, and marketing campaigns.
It highlights the importance of visual balance, hierarchy, and readability in UX and web design when applying the rule of thirds.
The article also discusses common mistakes to avoid when utilizing the rule of thirds and provides tips on how to enhance design using asymmetry.
It explores scenarios when it might be appropriate to break the rule of thirds in design decisions.
The article concludes by emphasizing the rule of thirds as a fundamental design principle that can enhance visual harmony and user engagement.

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Dzone

How to Use Testcontainers With ScyllaDB

Using Testcontainers with ScyllaDB can simplify setting up a database environment for integration testing.
Testcontainers is a library that enables spinning up lightweight ScyllaDB instances for testing.
It helps in automatically testing how units interact with one another and with external services like data stores.
Running integration tests with ScyllaDB instances ensures the application works as expected.
For proper integration testing, it is essential to consider interactions with databases beyond unit tests.
Setting up and configuring infrastructure for integration tests can be time-consuming.
Using Testcontainers simplifies the process by creating throwaway ScyllaDB instances.
The goal is to eliminate side effects or 'test pollution' from integration tests.
Integrating Testcontainers with CI/CD processes can streamline testing workflows.
The article provides a practical example of initializing the database and running tests against it.

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PlanetPython

421

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Python Engineering at Microsoft: Python in Visual Studio Code �� June 2025 Release

Microsoft announces Python, Pylance, and Jupyter extensions for Visual Studio Code in June 2025.
New features include Python chat tools, Language Server completions in the terminal for the Python REPL, and support for PyEnv and Poetry.
Python chat tools provide functionalities like getting Python environment information, installing Python packages, and configuring Python environments.
Language server completions are now available in the terminal for Python REPL sessions, improving interactive coding experience.
The Create Project feature in Python Environments extension allows users to create projects for Python packages and scripts quickly.
Support for PyEnv and Poetry for environment and package management has been added to the Python Environments extension.
Controlled rollout of the Python Environments extension has started, making it an optional dependency with the Python extension for some pre-release users.
Users can try out the preview version of the Python Environments extension from the Extension Marketplace for early feedback.
Special thanks to contributors for their contributions to the Python extensions in this release.
Users can download the Python and Jupyter extensions from the Marketplace or directly from Visual Studio Code for these new improvements.
For any issues or suggestions, users can file them on the Python VS Code GitHub page.

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Fueled

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Pressto Shop: Effortlessly Activate Branded Merchandise

Pressto Shop simplifies the process of launching an online storefront for branded merchandise, eliminating operational challenges like managing inventory and upfront costs.
Designed for organizations focusing on their core business, Pressto Shop offers a streamlined print-on-demand solution through Printify with storefronts live within 2-4 weeks.
Tailored storefronts reflect customer identity through brand language, design, and merchandise curation, enhancing brand loyalty and connection.
Powered by e-commerce expertise, Pressto Shop draws from successful collaborations with brands like DIME Beauty and FIGS, incorporating mobile-first design and user-centered principles.
Built on WordPress and WooCommerce, Pressto Shop offers a modern tech stack with seamless checkout, open architecture for customizations, and built-in analytics.
Pressto Shop includes merchandise curation, store setup, brand integration, testing support, and optional bespoke design services for further customization.
Organizations own their Pressto Shop storefronts and can opt for low-cost support packages for maintenance and updates.
Fueled uses Pressto Shop for their own swag store, demonstrating real-world validation and practical application of the solution.
Pressto Shop offers a discount code for interested users and emphasizes the ease of launching a merch store to boost revenue and brand engagement.
The platform provides a clear, supported process from concept to launch, making branded merchandise accessible and hassle-free.

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