oguzhaninan.github.io
Linux System Optimizer & Monitoring
Stacer is an open source system optimizer and application monitor that helps users to manage entire system with different aspects, its an all in one system utility.
Sergio Marchiori
The links, tools and tips our engineers and designers share with each other, one “today I learned” at a time.








oguzhaninan.github.io
Stacer is an open source system optimizer and application monitor that helps users to manage entire system with different aspects, its an all in one system utility.
Sergio Marchiori
Tech Insights· oguzhaninan.github.io
From oguzhaninan.github.io
Stacer is an open source system optimizer and application monitor that helps users to manage entire system with different aspects, its an all in one system utility.
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github.blog
Copilot Chat on github.com now supports organization custom instructions! This feature allows Copilot Enterprise customers to set default instructions for all users in their organization, ensuring a consistent experience across…
Matheus Gomes
Tech Insights· github.blog
From github.blog
Copilot Chat on github.com now supports organization custom instructions! This feature allows Copilot Enterprise customers to set default instructions for all users in their organization, ensuring a consistent experience across…
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newsletter.systemdesign.one
#32: Learn More - Awesome PostgreSQL Scalability (5 minutes)
Matheus Deister
Tech Insights· newsletter.systemdesign.one
From newsletter.systemdesign.one
#32: Learn More - Awesome PostgreSQL Scalability (5 minutes)
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Tech Insights· newsletter.posthog.com
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brandonchinn178.github.io
Today, I encountered a fun bug where f"{x}" threw a TypeError, but str(x) worked. Join me on my journey unravelling what f-strings do and uncovering the mystery of why an object might not be what it seems.
Pamella Bezerra
Tech Insights· brandonchinn178.github.io
From brandonchinn178.github.io
Today, I encountered a fun bug where f"{x}" threw a TypeError, but str(x) worked. Join me on my journey unravelling what f-strings do and uncovering the mystery of why an object might not be what it seems.
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Tech Insights· github.com
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Tech Insights· fevir.net
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github.com
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers? - humanlayer/12-factor-agents
Matheus Deister
Tech Insights· github.com
From github.com
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers? - humanlayer/12-factor-agents
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blog.platformatic.dev
In this article, we'll be looking at the state of native React integration in the Fastify framework.
Vitor Rangel
Tech Insights· blog.platformatic.dev
From blog.platformatic.dev
In this article, we'll be looking at the state of native React integration in the Fastify framework.
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open.substack.com
Discover why 'if not mylist' is twice as fast as 'len(mylist) == 0' by examining CPython's VM instructions and object memory access patterns.
Lucas Vilela
Tech Insights· open.substack.com
From open.substack.com
Discover why 'if not mylist' is twice as fast as 'len(mylist) == 0' by examining CPython's VM instructions and object memory access patterns.
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pytest-with-eric.com
Have you ever thought about testing your software behavior from a user’s perspective? You’re probably familiar with unit tests, maybe even integration tests and regression tests. But what about the en
Ricardo Morato Rocha
Tech Insights· pytest-with-eric.com
From pytest-with-eric.com
Have you ever thought about testing your software behavior from a user’s perspective? You’re probably familiar with unit tests, maybe even integration tests and regression tests. But what about the en
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Tech Insights· medium.com
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strategicengineering.substack.com
We've been using the wrong mental model to describe software development AI agents and this might be limiting the value engineers can extract from these tools.
Filipe Ximenes (Xima)
Tech Insights· strategicengineering.substack.com
From strategicengineering.substack.com
We've been using the wrong mental model to describe software development AI agents and this might be limiting the value engineers can extract from these tools.
manuel.kiessling.net
How time-tested software engineering practices amplify the effectiveness of AI coding assistants.
Matheus Deister
Tech Insights· manuel.kiessling.net
From manuel.kiessling.net
How time-tested software engineering practices amplify the effectiveness of AI coding assistants.
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blog.fotiecodes.com
Compare Function Calling and Model Context Protocol (MCP) for efficient AI software automation and integration with external systems
Matheus Deister
Tech Insights· blog.fotiecodes.com
From blog.fotiecodes.com
Compare Function Calling and Model Context Protocol (MCP) for efficient AI software automation and integration with external systems
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