Three Java Champions have described how they use GitHub Copilot in their work. They explain that the AI tool helps them solve problems and speed up development. The developers also stress that humans remain accountable for the final results. The article is published on the GitHub Blog.
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Three previously shut-down nuclear reactors in the United States are being brought back into operation. Microsoft and Google are backing the move, which will add 2.25 gigawatts of carbon-free electricity for AI data centers. The restart is slated to begin on October 20, 2026. The move reflects the rapidly growing power needs of AI development and the tech industry's push for dependable energy sources. The decision has drawn some controversy, though it highlights nuclear power's expanding role in supporting AI.
A DEV Community tutorial explains how to create a tool that automatically produces custom podcast intros for each episode, avoiding manual audio editing. The described pipeline gathers show metadata, turns it into a text script, converts that script to speech with a text-to-speech engine, and post-processes the audio by trimming, adding music, and normalizing volume. The author uses Python 3.11 along with libraries such as requests, pydub, and tqdm, with ffmpeg required for audio handling. The walkthrough relies on ElevenLabs' text-to-speech and voice-cloning API, though the author notes any other provider could be substituted. A sample function shows how a show name, host, episode title, and optional tagline can be combined into an intro script.
A practical overview for team leaders examines the main kinds of employee engagement surveys, including annual, pulse, onboarding, exit and topic-specific versions. It suggests combining short, frequent check-ins with a broader review once or twice a year and brief surveys at key lifecycle moments. The guidance stresses that survey frequency should match an organisation's capacity to act on results, and recommends keeping questions focused, neutral and consistently worded to allow trend comparison. Common mistakes highlighted include lacking an owner for follow-up, sharing results too late, changing questions each round and over-interpreting small samples. The piece concludes with a simple process for running a survey and notes that a basic spreadsheet can serve as a starting point before adopting dedicated tools.
Engineers moving from AWS to Google Cloud often overlook that the GCP project is the fundamental billing and access boundary. Many resources, including Cloud SQL instances, GKE clusters, and persistent disks, are tied to their project and cannot simply be moved between projects. Restructuring therefore usually means recreating resources and migrating data, which is far more involved, so migration plans should be built around these immovable resources. Organization Policies in mature GCP setups can also restrict deployment regions, machine types, and enabled APIs, which may rule out the cheapest or recommended options. The author advises checking the active organizational constraints with the admin before planning, since these policies typically exist for security and compliance reasons.
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