The hottest Testing Substack posts right now

And their main takeaways
Category
Top Technology Topics

Don’t Dismiss Testing

Are You Okay? • 0 implied HN points • 15 Oct 20
🏥 Health & Wellness Testing
  1. Different COVID-19 tests have unique advantages and disadvantages - PCR is more sensitive but can detect 'dead' virus, while rapid antigen tests are quicker and sensitive for infectious amounts
  2. Timing matters for testing - a negative test during the virus's incubation period may not be accurate as the virus needs time to replicate for a positive result
  3. PCR tests can detect the virus even before a person becomes contagious, but can remain positive long after the contagious period ends

Test your Patience (and your Knowledge on Covid Testing)

Are You Okay? • 0 implied HN points • 28 Sep 20
🏥 Health & Wellness Testing
  1. Differentiating between COVID testing types is crucial: PCR tests are more accurate, but rapid tests can give quicker results (though less accurate).
  2. Quarantine is important even with a negative test result after exposure to COVID, as symptoms can show up later.
  3. Widespread testing, especially with cheaper and quicker at-home options, could greatly help in controlling the pandemic.

Stay Informed

Are You Okay? • 0 implied HN points • 13 Aug 20
🏥 Health & Wellness Testing
  1. Research shows coronavirus can be transmitted through aerosols at distances beyond 6 feet, but it's still uncertain if the viral particles are enough to infect.
  2. Superspreading of the virus can happen with a small percentage of infected people who spread it to many others in settings like crowded bars and parties.
  3. Wearing masks is about science and safety, not politics, as they are proven to protect both the wearer and others from germs.

Trust Me, I’m Looking Out For You

Are You Okay? • 0 implied HN points • 22 Jul 20
🏥 Health & Wellness Testing
  1. Quick and efficient testing for COVID-19 is crucial to contain the disease
  2. New rapid tests are promising and can help identify contagious individuals even if not perfect
  3. Widespread, frequent, and affordable testing is necessary for effective surveillance and control of the virus
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Keep Hope Alive

Are You Okay? • 0 implied HN points • 01 Jun 20
🏥 Health & Wellness Testing
  1. Kids tend to have very mild cases of COVID-19, though they can still be infected and carry the virus.
  2. The medication Remdesivir shows promise in treating hospitalized COVID-19 patients and reducing recovery time.
  3. Convalescent plasma and vaccine trials continue to provide hope in the fight against coronavirus.

Three Tips for Writing CDK Tests

Making It Up • 0 implied HN points • 18 Mar 24
🕹 Technology Testing
  1. Use the assertions module provided by CDK for fine-grained and snapshot tests. It's valuable but can be easily missed.
  2. Make Nested Stacks easily accessible by adding them as properties of the Stack class. This simplifies the testing process.
  3. When facing test failures, consider writing your CloudFormation template to a file. This can provide clarity and help resolve common testing issues.

Understanding your Big Data problem: Transforming Big Data with Incremental Models

The Orchestra Data Leadership Newsletter • 0 implied HN points • 31 Oct 23
🕹 Technology Testing
  1. Understanding the importance of incremental models for managing big data is crucial to efficiently running complex queries and maintaining data quality.
  2. Design patterns in data modeling, such as Star Schema and Data Vault, play a significant role in how dbt models are structured and managed.
  3. Using Jinja templating and implementing continuous data integration processes are key elements in handling big models effectively and ensuring data reliability.

12 New COVID-19 Studies

Harnessing the Power of Nutrients • 0 implied HN points • 09 Jun 20
🏥 Health & Wellness Testing
  1. Neutrophils respond to SARS-CoV-2 by producing NETs that damage lung tissue, resembling Spiderman's tactics.
  2. Viral load in COVID-19 patients across ages shows no significant difference, indicating children's immune response may explain lower symptom frequency.
  3. Women display a stronger T cell response to COVID-19 than men, possibly contributing to better outcomes for women.

How do you know if your RAG/fine-tuned LLM implementation is good?

AI Encoder: Parsing Signal from Hype • 0 implied HN points • 20 Sep 23
🕹 Technology Testing
  1. To know if your RAG/fine-tuned LLM implementation is good, set up custom test cases that match your use case for evaluation.
  2. Utilize tools like DeepEval for defining custom test cases and metrics to assess your AI model's strengths and weaknesses.
  3. Before introducing an AI model to production data, rigorously test and evaluate its performance with various tests to ensure reliability.

Testing Lambda and S3 code with VSCode and Jest

realkinetic • 0 implied HN points • 19 Mar 24
🕹 Technology Testing
  1. When developing AWS data pipelines with Lambda and S3, setting up unit tests early can catch bugs and speed up development time.
  2. Using tools like VSCode and Jest can help streamline the testing process for AWS infrastructure code.
  3. Utilizing mock libraries like aws-sdk-client-mock allows for effective testing of data processing functions in Lambda.

Guidelines for Chaos Engineering, Part 1

realkinetic • 0 implied HN points • 06 Jul 20
🕹 Technology Testing
  1. Chaos testing helps understand how systems react to failure and ensures adequate monitoring for resilience.
  2. The goals of chaos testing include aligning system behavior with expectations and identifying gaps in monitoring and response capabilities.
  3. Performing chaos engineering involves defining steady-state metrics, forming hypotheses, running experiments, and adapting based on findings.

Full-stack overflow

Tribal Knowledge • 0 implied HN points • 02 Feb 24
🕹 Technology Testing
  1. Understanding the full stack is valuable for engineers to make connections between different parts of an application and solve problems more holistically.
  2. Having a breadth of knowledge across the full stack can lead to building higher quality features at a faster pace and creating a better overall system.
  3. Developing a generalist approach with knowledge spanning from CSS to database architecture can benefit software engineering teams, especially in startups with limited budgets.

Quality Engineering Basics: Risk Analysis

QUALITY BOSS • 0 implied HN points • 04 Mar 24
🕹 Technology Testing
  1. Risk analysis helps us focus on the most important bugs to fix. Instead of trying to eliminate all bugs, we prioritize those that could hurt the user experience or company revenue.
  2. To assess risk, we look at the impact of a bug and how likely it is to happen. Using a simple scoring system can help us decide which features to test first.
  3. Risk analysis should include checks on security and user experience, not just how well something works. Understanding all risks helps ensure we can test our products effectively.

ChatGPT Clears UPSC Prelims

Sector 6 | The Newsletter of AIM • 0 implied HN points • 11 May 23
🕹 Technology Testing
  1. The UPSC prelims exam is very challenging, with only about 25% of candidates passing. This makes it one of the toughest exams for civil service positions in India.
  2. When ChatGPT was tested on the UPSC prelims, it only answered 54 out of 100 questions correctly, showing it struggled to do well.
  3. Many students took pride in ChatGPT's failure because it highlighted the tough competition and skill needed to succeed in the UPSC exams.

Github Action for Unit Testing

Better Engineers • 0 implied HN points • 06 Sep 20
🕹 Technology Testing
  1. GitHub Actions help automate tasks like building, testing, and deploying code. It's a great way to make your workflow easier and more efficient.
  2. Unit testing is important because it checks if individual parts of your code work correctly. Running these tests can help catch bugs early, saving time later on.
  3. You can set up GitHub Actions to prevent merging code if the unit tests fail. This ensures that only tested and working code makes it into your main project.

We Should Test Programs

Something to Consider • 0 implied HN points • 10 Jul 22
🇺🇸 U.S. Politics Testing
  1. We often assume government programs work well without checking. It’s important to test these programs to see if they truly have the intended benefits.
  2. Many times, the results of these tests show that some programs can even make situations worse. For example, some early education programs that seemed good have led to poorer outcomes for kids by third grade.
  3. We should consider making laws that require testing before funding new programs. This way, we can get rid of ones that don't work and focus on what really helps.

The Bell Curve

Books Unbound • 0 implied HN points • 24 Jul 24
🚌 Education Testing
  1. Intelligence testing has a long history and aims to measure cognitive abilities, but it can also reinforce social inequalities. Tests may not show the full picture of a person's skills or potential.
  2. The book suggests that society is increasingly divided by intelligence, with smarter individuals getting the best jobs, which can widen economic gaps. Higher IQ is often linked to better job performance and success.
  3. The authors discuss controversial ideas about race and IQ, which have sparked debate. Many argue that environmental factors, like education quality, play a significant role in shaping intelligence.

API Prototyping in Practice

The API Changelog • 0 implied HN points • 06 Dec 25
🕹 Technology Testing
  1. Build small, just-in-time API prototypes to validate one assumption at a time and get real consumer feedback before you implement the full API.
  2. Use OpenAPI and mock-server tools to quickly turn specs into working prototypes you can share and iterate on as the spec changes.
  3. Prototyping reduces the risk of building unusable APIs, but adoption is limited by delivery pressure and the current lack of unified, low-cost tooling, so teams must weigh the upfront cost against long-term value.

@adlrocha - Taming the Agents: My "Spec-Test-Lint" Workflow for AI Coding

@adlrocha Weekly Newsletter • 0 implied HN points • 25 Jan 26
🕹 Technology Testing
  1. Use a CLI-first setup with a terminal emulator and multiplexer, dedicating panes for the coding agent, an agent inbox, and the code to keep workflows fast and focused.
  2. Follow a Spec-Test-Lint cycle: start from a clear, exhaustive spec, set up tests and strict linting/CI up front, and write tests before or alongside code so each feature is fully tested and production-ready.
  3. Apply the same workflow to both quick side projects and complex codebases by varying strictness, keep a human-in-the-loop, sandbox experiments, and use agent-steering practices to reduce context switching and maintain quality.