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According to its own statement, the company Cult.fit has deployed OpenAI's Codex tool so that teams across departments can build internal tools themselves and speed up work. The source does not provide details or figures.
GitHub has expanded the Copilot usage metrics API with separate tracking of BYOK (custom keys/local models) and custom enterprise models, so they are not merged with Copilot's hosted models.
According to Bloomberg, Goldman Sachs has restricted access to Claude Code and GitHub Copilot to engineers only. Traders and bankers who had used them for months to experiment lost access, for productivity and risk-management reasons.
With the help of the Claude Opus 5.5 model, Drew Breunig built an experimental GitHub project called nesformer — an NES processor emulator. According to the author, the model independently found and used a 15-year-old processor conformance test suite and created a CLI for running ROM files.
Epsilon built a shared service for testing web interfaces for its product teams. Amazon Nova Act and Amazon Bedrock AgentCore Browser Tool allow steps to be specified in natural language and complement the existing Playwright regression tests.
AWS Machine Learning Blog has published a guide to migrating applications from PHP to Java using Kiro. Shared skill files define an eight-phase process with approvals; a parity harness is intended to verify behavioral equivalence.
A guide from AWS demonstrates distributed fine-tuning of Qwen2.5-1.5B using Ray Train DLC, KubeRay and EFA on Amazon EKS. The example uses eight NVIDIA L4 GPUs and, according to AWS, does not require building a custom container image.
The QA Studio reference solution assigns tests to applications and teams, records results in Amazon CloudWatch and calculates a test health score. The expansion described also includes access roles and application sharing between teams.
Google has introduced Connected Apps Platform for integrating apps with Gemini and Google Search. The beta is for developers in the USA through a waitlist; access is being rolled out gradually.
GitHub includes access to GitHub Copilot in the GitHub Enterprise subscription for companies served by a sales team. AI usage is billed from the first request. Copilot Standalone costs 10 USD per user per month.
The new GitHub security extension displays open code scanning alerts in the GitHub Copilot app and helps explain or fix them. AI actions consume credits; GitHub Enterprise Server is not supported.
GitHub made GitHub Copilot Memory available on paid Copilot plans. It retains personal preferences and repository conventions across sessions and clients. Personal records can be viewed and deleted in settings.
Trusted repositories can automatically install and enable default extensions for GitHub Copilot contributors. Enterprises can require or block extensions and restrict installation to approved marketplaces. Enterprise policies take precedence over personal preferences.
GitHub announced the general availability of local sandboxing in GitHub Copilot for JetBrains IDEs. Agent tools and commands run on the developer’s computer with access restricted by rules set by the developer or organization.
Part of an overview of multiple AI topics; only this event has been covered.
OpenAI announced that it had deployed a mitigation measure following elevated error rates affecting most hosted Code Reviews and Security Reviews checks for private repositories on GitHub. The incident is in Monitoring status; full recovery has not yet been confirmed.
Gemini API CLI is available in beta for coding agents, scripts and CI pipelines. Through Interactions API, it supports generating text and media, analyzing files and running managed Gemini agents.
GitHub made assisted permission approval available in GitHub Copilot CLI, GitHub Copilot app and Visual Studio Code. Requests classified by the language model as clearly safe proceed automatically; all others require user approval.
Sebastian Raschka has released an 11-hour video course demonstrating how to evaluate and improve reasoning models in Python using PyTorch, starting with a small pretrained model from the Qwen3 family. The introductory examples can run on a CPU; the author recommends a GPU for later training.
According to GitHub, Grok 4.6 and Grok 4.7 have reduced availability in Copilot, including within the IDE. The report attributes the disruption to an issue at the model provider. The company recommends selecting another model or the Auto option.
GitHub has expanded the Copilot usage metrics API with breakdowns of requests, sessions, and token consumption by tool, including OpenCode. The totals_by_client field is available in one-day and 28-day reports for organizations, enterprises, and their users.
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