TanStack is an open-source collection of high-performance libraries for JavaScript and TypeScript applications, primarily focused on state management, data fetching, and table utilities. It includes popular libraries like TanStack Query, TanStack Table, and TanStack Router. These libraries emphasize declarative APIs, optimized performance, and deve…

TanStack is an open-source collection of high-performance libraries for JavaScript and TypeScript applications, primarily focused on state management, data fetching, and table utilities. It includes popular libraries like TanStack Query, TanStack Table, and TanStack Router. These libraries emphasize declarative APIs, optimized performance, and deve…

TanStack is an open-source collection of high-performance libraries for JavaScript and TypeScript applications, primarily focused on state management, data fetching, and table utilities. It includes popular libraries like TanStack Query, TanStack Table, and TanStack Router. These libraries emphasize declarative APIs, optimized performance, and deve…

Evaluations are critical for assessing the quality, performance, and effectiveness of software during development. Common evaluation methods include code reviews and automated testing, and can help identify bugs, ensure compliance with requirements, and measure software reliability. However, evaluating LLMs presents unique challenges due to their c…

Evaluations are critical for assessing the quality, performance, and effectiveness of software during development. Common evaluation methods include code reviews and automated testing, and can help identify bugs, ensure compliance with requirements, and measure software reliability. However, evaluating LLMs presents unique challenges due to their c…

Evaluations are critical for assessing the quality, performance, and effectiveness of software during development. Common evaluation methods include code reviews and automated testing, and can help identify bugs, ensure compliance with requirements, and measure software reliability. However, evaluating LLMs presents unique challenges due to their c…

A major challenge with creating distributed applications is achieving resilience, reliability, and fault tolerance. It can take considerable engineering time to address non-functional concerns like retries, state synchronization, and distributed coordination. Event-driven models aim to simplify these issues, but often introduce new difficulties in …

A major challenge with creating distributed applications is achieving resilience, reliability, and fault tolerance. It can take considerable engineering time to address non-functional concerns like retries, state synchronization, and distributed coordination. Event-driven models aim to simplify these issues, but often introduce new difficulties in …

A major challenge with creating distributed applications is achieving resilience, reliability, and fault tolerance. It can take considerable engineering time to address non-functional concerns like retries, state synchronization, and distributed coordination. Event-driven models aim to simplify these issues, but often introduce new difficulties in …

Agentic AI is seen as a key frontier in artificial intelligence, enabling systems to autonomously act, adapt in real-time, and solve complex, multi-step problems based on objectives and context. Unlike traditional rule-based or generative AI, which are limited to predefined or reactive tasks, agentic AI processes vast information, models uncertaint…

Agentic AI is seen as a key frontier in artificial intelligence, enabling systems to autonomously act, adapt in real-time, and solve complex, multi-step problems based on objectives and context. Unlike traditional rule-based or generative AI, which are limited to predefined or reactive tasks, agentic AI processes vast information, models uncertaint…

Agentic AI is seen as a key frontier in artificial intelligence, enabling systems to autonomously act, adapt in real-time, and solve complex, multi-step problems based on objectives and context. Unlike traditional rule-based or generative AI, which are limited to predefined or reactive tasks, agentic AI processes vast information, models uncertaint…

Synopsys is a leading electronic design automation company specializing in silicon design and verification, as well as software integrity and security. Their tools are foundational to the creation of modern chips and embedded software, powering everything from smartphones to cars. Chip design is a deeply complex process, often taking months or year…

Synopsys is a leading electronic design automation company specializing in silicon design and verification, as well as software integrity and security. Their tools are foundational to the creation of modern chips and embedded software, powering everything from smartphones to cars. Chip design is a deeply complex process, often taking months or year…

Synopsys is a leading electronic design automation company specializing in silicon design and verification, as well as software integrity and security. Their tools are foundational to the creation of modern chips and embedded software, powering everything from smartphones to cars. Chip design is a deeply complex process, often taking months or year…

OpenTofu is an open-source alternative to Terraform, designed for managing infrastructure as code. It enables users to define, provision, and manage their cloud and on-premises resources using a declarative configuration language. OpenTofu was created to ensure an open and community-driven approach to infrastructure tooling, and it emphasizes compa…

OpenTofu is an open-source alternative to Terraform, designed for managing infrastructure as code. It enables users to define, provision, and manage their cloud and on-premises resources using a declarative configuration language. OpenTofu was created to ensure an open and community-driven approach to infrastructure tooling, and it emphasizes compa…

OpenTofu is an open-source alternative to Terraform, designed for managing infrastructure as code. It enables users to define, provision, and manage their cloud and on-premises resources using a declarative configuration language. OpenTofu was created to ensure an open and community-driven approach to infrastructure tooling, and it emphasizes compa…

Python is the dominant language for AI and data science applications, but it lacks the performance and low-level control needed to fully leverage GPU hardware. As a result, developers often rely on NVIDIA’s CUDA framework, which adds complexity and fragments the development stack. Mojo is a new programming language designed to combine the simplicit…

Python is the dominant language for AI and data science applications, but it lacks the performance and low-level control needed to fully leverage GPU hardware. As a result, developers often rely on NVIDIA’s CUDA framework, which adds complexity and fragments the development stack. Mojo is a new programming language designed to combine the simplicit…

Python is the dominant language for AI and data science applications, but it lacks the performance and low-level control needed to fully leverage GPU hardware. As a result, developers often rely on NVIDIA’s CUDA framework, which adds complexity and fragments the development stack. Mojo is a new programming language designed to combine the simplicit…

PostgreSQL is an open-source database known for its robustness, extensibility, and compliance with SQL standards. Its ability to handle complex queries and maintain high data integrity has made it a top choice for both start-ups and large enterprises. Heikki Linnakangas is a leading developer for the PostgreSQL project, and he’s a co-founder at Neo…

PostgreSQL is an open-source database known for its robustness, extensibility, and compliance with SQL standards. Its ability to handle complex queries and maintain high data integrity has made it a top choice for both start-ups and large enterprises. Heikki Linnakangas is a leading developer for the PostgreSQL project, and he’s a co-founder at Neo…

Cryptocurrency exchanges face unique security challenges that require specialized threat assessments and planning. Coinbase is a cryptocurrency exchange based in the United States. It was founded in 2012 and has evolved alongside cryptocurrency as a technology. Philip Martin is the Chief Security Officer at Coinbase. Prior to Coinbase, Philip built…

Cryptocurrency exchanges face unique security challenges that require specialized threat assessments and planning. Coinbase is a cryptocurrency exchange based in the United States. It was founded in 2012 and has evolved alongside cryptocurrency as a technology. Philip Martin is the Chief Security Officer at Coinbase. Prior to Coinbase, Philip built…

Cryptocurrency exchanges face unique security challenges that require specialized threat assessments and planning. Coinbase is a cryptocurrency exchange based in the United States. It was founded in 2012 and has evolved alongside cryptocurrency as a technology. Philip Martin is the Chief Security Officer at Coinbase. Prior to Coinbase, Philip built…

The Model Context Protocol, or MCP, is a new open standard that connects AI assistants to arbitrary data sources and tools, such as codebases, APIs, and content repositories. Instead of building bespoke integrations for each system, developers can use MCP to establish secure, scalable connections between AI models and the data they need. By standar…

The Model Context Protocol, or MCP, is a new open standard that connects AI assistants to arbitrary data sources and tools, such as codebases, APIs, and content repositories. Instead of building bespoke integrations for each system, developers can use MCP to establish secure, scalable connections between AI models and the data they need. By standar…

The Model Context Protocol, or MCP, is a new open standard that connects AI assistants to arbitrary data sources and tools, such as codebases, APIs, and content repositories. Instead of building bespoke integrations for each system, developers can use MCP to establish secure, scalable connections between AI models and the data they need. By standar…