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Google DeepMind Blog

Unlocking UK house-building with AI-accelerated planning — Google DeepMind

Google DeepMind is partnering with the UK government to develop an AI planning prototype powered by Gemini, aiming to halve the time to process householder planning applications. The tool assists planning officers by consolidating data, identifying local policies, summarizing feedback, and drafting assessments, while keeping humans as final decision-makers. It builds on Extract, which converts legacy PDFs into usable data. The goal is to reduce administrative burdens and accelerate house-building.

AI / planning / UK / housing / government / DeepMind / Gemini / public services / technology / innovation / Extract / prototype

06/17/2026summarized5872 charssummary ready0 Issuesoriginal

GitHub Blog

What are git worktrees, and why should I use them?

Git worktrees allow developers to work on multiple branches simultaneously without stashing or context switching. They create separate working directories, enabling parallel development and reducing mental overhead. Popularized by AI tools like GitHub Copilot, worktrees manage dependencies and folder bloat but require careful management.

git / git worktrees / GitHub Copilot / GitHub Copilot app / parallel development / context switching

06/17/2026summarized6529 charssummary ready0 Issuesoriginal

Martin Fowler - Exploring Generative AI

Building Reliable Agentic AI Systems

This paper presents the Preclinical Information Center (PRINCE), a cloud-hosted platform developed by Bayer AG with Thoughtworks to address pharmaceutical industry challenges in drug development. PRINCE leverages Agentic Retrieval-Augmented Generation (RAG) and Text-to-SQL to integrate decades of safety study reports. The system evolved from keyword-based search to an intelligent research assistant capable of answering complex questions and drafting regulatory documents. Key engineering decisions include context engineering—shaping and routing information between specialized agents—and harness engineering—orchestration, recovery, and observability around the models to maintain control and reliability. The system prioritizes trust through transparency, explainability, and human-in-the-loop integration, significantly improving data accessibility and research efficiency while ensuring governance and compliance.

agentic AI / RAG / pharmaceutical / drug development / LangGraph / multi-agent / Text-to-SQL / context engineering / harness engineering / Bayer / PRINCE / production AI

06/16/2026summarized51731 charssummary ready0 Issuesoriginal

Martin Fowler - Exploring Generative AI

Fragments: June 16

Martin Fowler's June 16 fragments cover several perspectives on AI: Dave Thomas finds LLMs make programming more fun by removing drudgery; Chelsea Troy introduces conversation registers (exploring, brainstorming, deciding, implementing) for LLM interaction; Charity Majors warns of a divide between AI enthusiasts and skeptics, urging engineering discipline; Simon Willison notes increased enterprise pricing signals product-market fit for AI coding agents; Mike Masnick highlights the internet's failure to decentralize and cautions against enshittification.

AI / LLM / programming / domain-driven design / conversation registers / enterprise pricing / product-market fit / decentralization / enshittification / engineering discipline / Martin Fowler / fragments

06/16/2026summarized8462 charssummary ready0 Issuesoriginal

OpenAI News

Predicting model behavior before release by simulating deployment

OpenAI introduces Deployment Simulation, a novel method that uses real conversation data to predict AI model behavior before actual deployment. This approach aims to enhance safety evaluation and improve accuracy by simulating real-world interactions, allowing developers to identify potential issues early.

OpenAI / Deployment Simulation / AI safety / model evaluation / predictive testing / conversation data / pre-deployment

06/16/2026summarized235 charssummary ready2 Issuesoriginal

GitHub Blog

GitHub Copilot CLI for Beginners: Overview of common slash commands

This article provides an overview of slash commands in GitHub Copilot CLI, which are built-in controls for guiding Copilot's behavior, managing context, switching models, inspecting changes, navigating projects, and managing permissions. Key commands include /model, /context, /compact, /clear, /resume, /diff, /cwd, and /reset-allowed-tools. The article emphasizes that mastering these commands enhances efficiency and control over the CLI workflow.

GitHub Copilot / CLI / slash commands / command line / productivity / AI tools / developer tools / GitHub

06/16/2026summarized5974 charssummary ready0 Issuesoriginal

GitHub Blog

Accelerating researchers and developers building multilingual AI with a new open dataset

GitHub has released the GitHub Multilingual Repositories Dataset, a repository-level metadata dataset covering over 40 million repositories. It provides language classifications for READMEs, issues, and pull requests using three classifiers, enabling researchers and developers to discover non-English developer content. The dataset is available under CC0-1.0 and aims to support multilingual AI development, particularly for underrepresented European languages. It follows GitHub's commitment to open data and is designed as a transparent discovery tool, not a ground-truth benchmark.

open dataset / multilingual AI / GitHub / repository metadata / developer collaboration / language classification / CC0-1.0 / European languages / open source / AI evaluation / fastText / gcld3

06/16/2026summarized7014 charssummary ready0 Issuesoriginal

OpenAI News

Introducing the OpenAI Partner Network

OpenAI announces the launch of the OpenAI Partner Network, a $150 million investment initiative aimed at helping global partners accelerate enterprise AI adoption, deployment, and transformation.

OpenAI / Partner Network / AI / Enterprise AI / Investment

06/15/2026summarized183 charssummary ready2 Issuesoriginal

GitHub Blog

How we made GitHub Copilot CLI more selective about delegation

The article explains how GitHub improved Copilot CLI's subagent delegation to reduce unnecessary handoffs, tool failures, and wait times. By analyzing agent trajectories, they refined orchestration policy to delegate only when beneficial, resulting in 23% fewer tool failures per session and 5% lower P95 wait time.

GitHub Copilot CLI / AI agents / delegation / orchestration / software engineering / developer experience / agentic systems / A/B testing

06/13/2026summarized12232 charssummary ready0 Issuesoriginal

Microsoft Research Blog

Inside Project Ire’s discovery of an evasive malware sample

Project Ire, Microsoft's autonomous LLM-driven malware classification agent, identified a variant of the LOTUSLITE backdoor that shares TTPs with the known family but has none of its IOCs. The sample evades major EDRs; Ire produced a function-by-function behavioral report via decompiler-based analysis without human priors. The binary contains a cleartext actor string naming Mustang Panda, but Ire did not attribute. Comparing Ire's report with Acronis's analysis confirmed the behavioral match. This demonstrates how behavioral, agentic reverse engineering can catch variants that signature matching misses.

malware / LOTUSLITE / Project Ire / LLM / reverse engineering / backdoor / threat actor / Mustang Panda / security / Microsoft Research / behavioral analysis / evasive malware

06/13/2026summarized11564 charssummary ready0 Issuesoriginal

OpenAI News

New OpenAI Academy courses for the next era of work

OpenAI has launched three new Academy courses designed to help individuals and organizations build practical AI skills, create repeatable workflows, and effectively apply AI agents in everyday work. These courses aim to equip learners with the tools needed to thrive in the evolving workplace.

OpenAI / Academy / courses / AI skills / workflows / agents / education / workplace

06/12/2026summarized200 charssummary ready2 Issuesoriginal

OpenAI News

How Preply combines AI and human tutors to personalize learning

Preply, an online language learning platform, uses OpenAI to launch AI-generated lesson summaries, providing learners with personalized feedback and language learning exercises. This integration combines the efficiency of AI with the expertise of human tutors to enhance the learning experience.

Preply / OpenAI / AI / language learning / personalized learning / tutors / lesson summaries / feedback / exercises / edtech

06/12/2026summarized189 charssummary ready2 Issuesoriginal

GitHub Blog

GitHub availability report: May 2026

GitHub's May 2026 availability report details nine incidents causing degraded performance, including disruptions to pull requests, Actions, Copilot, and more. Progress on infrastructure improvements includes migrating traffic to Azure, breaking up the monolith, and isolating database clusters to enhance reliability and capacity.

GitHub / availability / incidents / May 2026 / infrastructure / Actions / Copilot / pull requests / migration / database / reliability / Azure

06/12/2026summarized15532 charssummary ready0 Issuesoriginal

GitHub Blog

Making secret scanning more trustworthy: Reducing false positives at scale

GitHub collaborated with Microsoft's Agents Offense team to add contextual reasoning to secret scanning verification. By extracting focused, high-signal context from code rather than entire files, the system better distinguishes real secrets from false alarms. This approach achieved a 75.76% reduction in false positives on customer-confirmed alerts while maintaining detection coverage and scalability, improving developer trust and triage efficiency.

Secret Scanning / false positives / AI / LLM / security / GitHub / Microsoft / contextual reasoning / verification / developer trust

06/12/2026summarized6991 charssummary ready0 Issuesoriginal

OpenAI News

BBVA puts AI at the core of banking with OpenAI

BBVA has scaled OpenAI's ChatGPT Enterprise to 100,000 employees and formed a strategic partnership to accelerate AI-powered transformation across its global banking operations, aiming to embed AI at the core of its services.

BBVA / OpenAI / ChatGPT Enterprise / banking / AI transformation / digital banking

06/11/2026summarized195 charssummary ready2 Issuesoriginal

OpenAI News

OpenAI to acquire Ona

OpenAI announces acquisition of Ona to integrate secure, persistent cloud environments into Codex, enabling long-running AI agents for enterprise workflows.

OpenAI / Ona / acquisition / Codex / AI agents / enterprise / cloud / secure / persistent

06/11/2026summarized171 charssummary ready2 Issuesoriginal

OpenAI News

How an astrophysicist uses Codex to help simulate black holes

Astrophysicist Chi-kwan Chan uses OpenAI's Codex to build black hole simulations, enabling scientists to study extreme physics and test Einstein's theory of general relativity. This collaboration demonstrates the potential of AI in advancing astrophysical research and complex simulations.

astrophysics / black holes / Codex / AI / simulations / general relativity / OpenAI / research

06/11/2026summarized239 charssummary ready2 Issuesoriginal

OpenAI News

Access OpenAI models and Codex through your Oracle cloud commitment

OpenAI announces that users can now access OpenAI models and Codex through Oracle Cloud, leveraging their existing cloud commitments. This integration provides enterprise-grade security and governance for building and deploying AI applications, making it easier for businesses to adopt advanced AI capabilities while maintaining compliance and control over their data.

OpenAI / Oracle Cloud / AI models / Codex / enterprise AI / cloud commitment / security / governance / AI deployment

06/11/2026summarized212 charssummary ready2 Issuesoriginal

Google DeepMind Blog

DiffusionGemma: 4x faster text generation

Google DeepMind introduces DiffusionGemma, an experimental open model that uses text diffusion to generate entire blocks of text simultaneously, achieving up to 4x faster inference on dedicated GPUs compared to traditional autoregressive models. It is a 26B MoE model that activates only 3.8B parameters during inference, supports 256-token parallel generation, and is optimized for local speed-critical workflows like in-line editing and code infilling.

DiffusionGemma / text diffusion / fast inference / Mixture of Experts / Google DeepMind / open model / GPU acceleration / local inference / parallel generation / code infilling / in-line editing / Apache 2.0

06/11/2026summarized7958 charssummary ready0 Issuesoriginal