Turning Agent Autonomy into Productivity with Chris Weichel
A common challenge in software development is creating and maintaining robust development environments. The rise of AI agents has amplified this complexity by adding new demands around permission controls, environment isolation, and resource management. Ona is a platform for AI-native software development and engineering agents. The platform combines autonomous agents with secure, standardized environments, with
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Homebrew and macOS Package Management with Mike McQuaid
Homebrew is a widely used package manager that simplifies the installation of open-source software on macOS. It was created in response to the growing demand for a lightweight, developer-friendly tool suited to an increasingly Mac-centric development ecosystem. Today, Homebrew is a near-essential part of the macOS software development toolkit. Mike McQuaid joined the project early
The post Homebrew and macOS Package Management with Mike McQuaid appeared first on Software Engineering Daily.
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Engineering in the Age of Agents with Yechezkel Rabinovich
Modern software platforms are increasingly composed of diverse microservices, third-party APIs, and cloud resources. The distributed nature of these systems makes it difficult for engineers to gain a clear view of how their systems behave, which can slow down troubleshooting and increase operational risk. groundcover is an observability platform that uses eBPF sensors to capture
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Static Analysis for Ruby with Jake Zimmerman
Dynamic languages like Ruby, Python, and JavaScript determine the types of variables at runtime rather than at compile time. This flexibility allows for rapid development and concise code, but it also makes it harder to catch certain classes of bugs before execution. Type checkers for dynamic languages add structure and safety without compromising their expressive
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Scaling AI in Enterprise Codebases with Guy Gur-Ari
The rise of language-model coding assistants has led to the creation of the vibe coding paradigm. In this mode of software development, AI agents take a plain language prompt and generate entire applications, which dramatically lowers the barriers to entry and democratizes access to software creation. However, many enterprise environments have large, legacy codebases and
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