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🧪 Building Playwright Framework Step By Step - Implementing API Tests

API testing in Playwright involves interacting with web applications at the API level to validate functionality, reliability, efficiency, and security of RESTful services and endpoints.
API tests are faster, more reliable, and offer better coverage than UI tests alone, forming a crucial part of robust test automation.
Implementing API tests in Playwright includes extending the auth.setup.ts file for API authentication with an ACCESS_TOKEN environment variable.
Creating test data for invalid credentials enables thorough testing of authentication, authorization, and data encryption in APIs.
Negative test cases in 'authentication.spec.ts' validate how APIs handle invalid data inputs, ensuring robust error handling and system stability.
The 'article.spec.ts' file focuses on validating CRUD functionality, ensuring efficient management of data operations throughout the system.
Implementing a tear-down process post-testing is crucial for cleaning up the environment and maintaining test isolation, preventing flaky tests.
Next steps include implementing CI/CD integration to automate the test execution pipeline in the Playwright framework.
Initiating discussions on this topic is encouraged to drive further refinement and enhancements in testing capabilities.
Building a robust framework in Playwright involves API testing, creating test data, validating CRUD operations, and implementing proper tear-down processes.

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You're Not Debugging. You're Just Wasting Time

Many developers tend to copy-paste errors into search engines without understanding them, failing to properly debug.
This trial-and-error culture leads to a lack of knowledge, dependence on external tools, and a false sense of progress.
Not understanding errors hinders developers' growth and efficiency over time.
The habit of blind fixes wastes time and can lead to chasing unrelated solutions.
Developers need to read error messages, reproduce issues, form hypotheses, search with precision, and reflect on fixes.
Relying solely on tools like language models without understanding the problem can be detrimental.
Understanding the root cause of issues is crucial for personal growth and efficiency in development.
Debugging is about training the brain to think systematically and not just finding quick solutions.
Using tools like Google and Stack Overflow is beneficial, but understanding the problems is key to true growth.
Developers should prioritize thinking and understanding over blindly applying fixes to truly own their code.

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Implement Audit Logs for your Database tables in SQL Server

Implementing Audit Logging through application code is complex and not recommended. It is more efficient to implement Audit Logs directly in the database.
Audit Logging involves creating an Audit Log table and an Audit Log trigger for tracking user activity and changes in database tables.
The Audit Log table mirrors the structure of the target table with additional columns for storing old and new field values, action type, timestamp, and user information.
The Audit Log trigger captures changes in the database table and populates the Audit Log table with relevant information, such as the type of operation and user responsible for the change.

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The GPU Programming Revolution Coming in 2026 That Will Make Current ML Engineers Obsolete

The GPU programming landscape is set to undergo a revolutionary transformation in 2026, rendering current ML engineering approaches obsolete.
NVIDIA's CUDA, which has long dominated GPU computing, is facing challenges as alternative platforms offering cost-effective solutions gain traction.
The shift in ML engineering is not just about hardware but about abstraction, with compiler stacks and hardware-agnostic programming models taking center stage.
Technologies like OpenAI's Triton and PyTorch's compilation stack are paving the way for a future where manual optimization by engineers will be automated.
Hardware architecture is also evolving, with disaggregated GPU designs and compute-in-memory architectures reshaping the programming landscape.
Machine learning engineers will witness a dramatic transformation in their roles, necessitating a focus on algorithmic understanding rather than hardware specifics.
By 2026, ML engineers will work with a diverse set of specialized accelerators, prompting the emergence of unified programming approaches for managing the hardware diversity.
The democratization of GPU programming will lower the barrier to entry for ML engineers, emphasizing the importance of algorithmic expertise over hardware-specific knowledge.
To thrive in the evolving landscape, ML engineers are advised to focus on algorithm mastery, understanding compilers, and diversifying their platform knowledge.
The impending GPU programming revolution should be embraced as an opportunity for growth and innovation rather than feared as a disruptor of existing roles.

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Dev

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Meta Shifts to AI for Product Risk Reviews

Meta is transitioning to using artificial intelligence for the majority of its internal risk assessments for updates on Facebook, Instagram, and WhatsApp.
The company plans for AI to handle up to 90 percent of these assessments to accelerate product development while involving humans for complex or sensitive issues.
Engineers at Meta will input risk-related data into a system that scores updates, deciding if human review is necessary, allowing certain features to go live automatically.
Critics express concerns that AI may not fully comprehend intricate social or political risks tied to misinformation, privacy, or cultural impact, but Meta acknowledges the need for gradual implementation and human judgment.

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Dev

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Building a Lightweight Remote Gradio MCP Server with DuckDuckGo Search

Gradio now allows users to set up a lightweight remote MCP server with minimal setup.
To create the MCP server, follow the steps outlined in the official guide provided by Gradio.
After setting up the server locally, you can run it and access it through Gradio's UI for debugging.
The server can also be added to an MCP client like Cursor for seamless communication.

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Medium

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I'm not stupid as you think I am

The writer reflects on their academic year, acknowledging the pressures and struggles faced due to comparisons with classmates having different backgrounds and knowledge.
Despite feeling inadequate at times, the writer appreciates the willingness of others to teach and support them in their learning journey.
They express a mix of emotions from feeling dumb and idiotic to eventually realizing their own worth and value beyond academic achievements.
Ultimately, the writer embraces self-acceptance and refuses to let grades define their intelligence, expressing confidence in their abilities and determination to overcome self-doubt.

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Dev

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A beginner's guide to the Ltx-Video-0.9.7 model by Lightricks on Replicate

Ltx-Video-0.9.7 by Lightricks on Replicate is a DiT-based AI model for real-time video generation producing high-quality 30 FPS videos at 1216×704 resolution, offering advancements in speed and quality.
Model takes text prompts or images as input, generating coherent video sequences with keyframe-based animation, bidirectional video extension, and video-to-video transformations.
Inputs include detailed text descriptions, images, frame settings (8N+1 frames, multiples of 32 resolution), and parameters like guidance scale (3-3.5) and inference steps (20-50).
Outputs are 30 FPS video clips at 1216×704 resolution, compatible with standard formats, with variable frame counts based on the 8N+1 formula. Model excels in photorealistic video generation.

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Medium

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Prototyping my Game — A Little Bit of Everything, All at Once!

The author shares insights on prototyping his game 'The Message from Deep Space' using a Breadth-First approach, focusing on developing multiple features simultaneously rather than diving deep into one or two core features.
While this approach allows for learning what the game accomplishes and what is technically feasible, it also leads to challenges such as quickly switching tasks and potential mental exhaustion.
The process involves programming various interconnected features, like an in-game dictionary, and tackling problems one step at a time to ensure everything works together.
The author admits to skipping unit testing and prioritizing quick solutions, citing the flexibility and iterative nature of game development as reasons for this approach.
Despite the mental fatigue, the author finds joy in programming new features and developing tools that enhance efficiency in game development.
The week's accomplishments include implementing 10 new puzzles in just 10 minutes, showcasing the effectiveness of the developed tools and techniques.
The author reflects on the balance between 'Serious Thursdays' and 'Casual Fridays' in his development process, highlighting the importance of maintaining a good work-life balance.
The upcoming week's focus will continue to be on programming and prototyping, with plans to revisit learning and puzzle design as the project progresses.
The weekly logs serve as a journal documenting the development of 'The Message from Deep Space', offering insights into game development, independent work, and personal life.
The author emphasizes the ongoing nature of the log series and invites readers to follow along for more updates on the game development journey.

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Dev

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2929. Distribute Candies Among Children II

The problem involves distributing n candies among 3 children such that each child gets no more than limit candies.
By using combinatorial mathematics and the inclusion-exclusion principle, the total ways can be calculated efficiently.
The approach requires determining valid solutions by considering constraints on the distribution of candies.
The solution subtracts invalid distributions and adds back certain cases to compute the final result.
Efficiency is achieved by avoiding brute-force iteration and utilizing combinatorial formulas for large n and limit values.
A PHP implementation of this solution is provided, calculating the distribution of candies among 3 children.
The algorithm uses a helper function and mathematical formulas to determine the number of valid distributions.
The result is obtained by combining terms that account for different scenarios in the distribution process.
The method ensures optimal time complexity by efficiently handling cases where the children's candy limits are not exceeded.
The approach presented optimally solves the problem of candy distribution among children with constraints on candy limits.

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Medium

375

Why Most AI Startups Have Ugly, Ineffective Sites (And How to Fix It)

Many AI startup websites are found to have common design mistakes that hinder conversions.
The websites often prioritize aesthetics over clearly communicating value, leading to confusion among visitors.
Visual hierarchy is crucial for guiding visitors on what to focus on first, building trust, and showcasing credibility.
Issues like slow loading times and poor mobile optimization are not just development problems but also impact conversion rates.

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Dev

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A Deep Dive into Go’s sync Package: Mutex, RWMutex, and Pitfalls to Dodge

The article delves into Go's sync package, focusing on Mutex, RWMutex, and common pitfalls to avoid.
Mutex and RWMutex are highlighted as essential tools in managing concurrent Go code, with Mutex allowing one goroutine at a time and RWMutex permitting multiple readers or one writer.
The mechanics and differences between Mutex and RWMutex are explained, emphasizing their role in preventing race conditions and ensuring orderly execution.
Mutex serves as a straightforward lock, ensuring exclusive access, while RWMutex caters well to read-heavy scenarios, balancing between performance and exclusivity for writes.
Real-world examples and best practices for using Mutex and RWMutex effectively are provided, including cautionary tales about deadlocks and performance considerations.
Performance benchmarks show that RWMutex excels in read scenarios, offering lower latency compared to Mutex, making it ideal for systems with a high ratio of reads to writes.
The article concludes with advice on mastering locks, such as keeping lock scope minimal, avoiding nesting, and utilizing channels over locks for data flow management.
Lock best practices, pro tips, and war stories are shared to help readers navigate the complexities of concurrency and optimize their code for efficiency.
In summary, understanding and applying Mutex and RWMutex correctly can significantly impact the performance and reliability of concurrent Go applications.
The article suggests that while locks are crucial tools in managing concurrency, leveraging channels and lock-free techniques where possible can enhance code robustness and scalability.
Readers are encouraged to share their experiences and insights regarding concurrency in Go, highlighting the importance of continuous learning and collaboration in mastering complex programming concepts.

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Medium

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Here’s How to Build AI Projects Without Spending a Dime on API Keys

Learn how to build AI projects without spending money on API keys with an ultimate hack.
Discover a free option to save dollars by utilizing this method before considering paying for API keys.
The writer shares their experience of exploring and experimenting with vibe coding tools and finding limitations with cloud versions due to low free daily credits.
This hack can help individuals, especially beginners, in saving money while starting AI projects.

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Medium

171

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Learn C# Arrays Deeply by Building a Task Manager (No Theory, Just Practice)

By building a simple Task Manager console app in C#, the author gained a deeper understanding of array methods like Array.Copy() and Array.Clear().
The author highlighted the importance of understanding methods such as finding the first exact match in an array, making deep copies manually, and resetting values to default.
Lessons learned include the necessity of handling resizing, copying, and avoiding overwrites manually while working with a simple string[] array.
The author recommended learning C# through practical projects to fully grasp concepts like array manipulation, object references, and method functionalities.

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Medium

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Coding with Claude Code: A Friendly AI Colleague

Claude Code is an AI code assistant operating on a CLI basis and offered by Anthropic that offers a Max plan for unlimited use without specific usage limits.
Users appreciate Claude Code's structured list of tasks, step-by-step guidance, and problem-solving capabilities when handling code challenges differently from other AI assistants.
Claude Code stands out for its unique problem-solving approach, which involves analyzing error messages, creating and executing code simulations, and providing detailed solutions to users.
While the detailed problem-solving process can be time-consuming and token-intensive, users on the Max Plan can utilize Claude Code more freely and benefit from its advanced capabilities in aiding code development.

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