Introducing Gemini Enterprise (6 minute read)
Gemini Enterprise is a unified AI platform designed to connect people, workflows, and data across entire organizations through an intelligent, secure, and open ecosystem. Built on Google's full AI stack and powered by Gemini models, it enables employees to automate processes, build and manage agents, and create multimodal experiences.
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Introducing Spacelift Intent (5 minute read)
Spacelift's Intent is a new infrastructure management system that lets users request and manage cloud resources in natural language instead of writing HCL. Built on open standards like OpenTofu and integrated through the Model Context Protocol, Intent delivers real infrastructure with governance and exportability while complementing Terraform for faster, simpler workflows.
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Making Documentation Simpler and Practical: Our Docs-as-Code Journey (6 minute read)
The Squarespace Domains engineering team has embraced a "Docs-as-Code" (DaC) philosophy, integrating documentation with code in Git for version control and pull request reviews. By using Markdown, Mermaid syntax, and Backstage as a developer portal, the team has streamlined documentation, improved traceability, and enabled faster iteration on technical documents. The team also uses local previews with the Intellij Mermaid plugin and remote previews in a staging environment to verify documentation changes before they go live.
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Add MCP Servers to Claude Code with MCP Toolkit (6 minute read)
Docker MCP Toolkit now connects Claude Code to real development tools, enabling it to run database queries, create GitHub issues, and send Slack messages, eliminating the need for manual copy-pasting and context-switching. The toolkit features over 200 pre-built containerized MCP servers, one-click deployment in Docker Desktop, and automatic credential handling, allowing developers to connect Claude Code to trusted environments in minutes.
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The Great Software Quality Collapse: How We Normalized Catastrophe (6 minute read)
Software quality has collapsed as companies prioritize speed, abstraction, and infrastructure spending over disciplined engineering. Once-unthinkable failures—from apps leaking tens of gigabytes of memory to billion-dollar outages and AI-driven data loss—have become normalized, creating a cycle of inefficiency and reliance on massive hardware investments instead of fixing fundamental code quality issues.
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Atuin Desktop (GitHub Repo)
Atuin Desktop, an executable runbook editor designed to bridge the gap between documentation and automation for terminal workflows, is currently in open beta. The local-first application aims to solve the problem of outdated documentation and answers buried in various locations by creating runbooks that can be executed directly.
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Bun 1.3 (Tool)
Bun 1.3 turns Bun into a batteries‑included full‑stack JavaScript runtime. The team has added first-class support for frontend development with all the features you expect from modern JavaScript frontend tooling.
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Introducing Atlassian Software Collection (6 minute read)
Atlassian's Software Collection is an AI-native suite that unifies tools like Rovo Dev, Bitbucket, Compass, Pipelines, and DX to enhance productivity across the software development lifecycle. The collection integrates AI-driven automation and analytics to keep developers in flow while giving leaders measurable insights into team performance and AI's impact.
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From Static Rate Limiting to Adaptive Traffic Management in Airbnb's Key-Value Store (7 minute read)
Airbnb enhanced the reliability of Mussel, its key-value store, by implementing smarter traffic controls that ensure speed and stability during traffic spikes. The upgrade includes resource-aware rate control, load shedding, and hot-key defense layers, improving the system's ability to handle volatile traffic mixes and maximize goodput. The new approach shifts from simple request counting to resource accounting, allowing for adaptive, real-time prioritization.
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The illegible nature of software development talent (2 minute read)
Many of the most talented software engineers are nearly invisible from the outside—they don't post online, maintain flashy GitHubs, or meet rigid performance rubrics, yet consistently deliver high-impact, high-quality work. Because hiring and promotion systems rely on visible signals, organizations often overlook these “quiet” engineers, favoring what's legible over what's truly valuable.
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