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Rod Claar
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What Changed in Software Development This Week Because of AI

Five facts from the past seven days, and what each one means for your Scrum team.

Agile + AI · Weekly

What Changed in Software Development This Week Because of AI

Five facts from the past seven days, and what each one means for your Scrum team.

This was a big week for the tools that write code. One company shipped a stronger model that can run hundreds of helper agents at once. Another flipped the switch on how it charges for AI coding. A third opened a fast, cheap coding model to everyone. The pattern is clear: AI coding got more powerful and more hands-off, and the cost and control questions moved front and center.

Here are the five changes from the past seven days that matter most for software teams, with a source for each one. No guesses, no hype. After each story you will find a Scrum Team Signal with a plain next step.

Story One

Claude Opus 4.8 ships, and it can run hundreds of helper agents at once

On May 28, Anthropic released Claude Opus 4.8. It is the company's strongest public model, and it costs the same as the last version. The coding scores went up. On a hard coding test called SWE-bench Pro, it scored 69.2%, up from 64.3% on the prior model.

The bigger news for teams is a new Claude Code feature called dynamic workflows. It lets the model plan a large job and then run hundreds of smaller helper agents, called subagents, at the same time. Anthropic says this can carry a whole-codebase change, such as moving hundreds of thousands of lines of code to a new pattern, from start to a finished, tested merge. The feature is in research preview and is offered on the Enterprise, Team, and Max plans.

Anthropic also reports the model is better at being honest about its own work. It is more likely to flag what it is unsure about, and Anthropic's own tests show it is about four times less likely than the last version to let a flaw in code it wrote slip by without comment.

Less likely than the prior model to let a flaw in its own code pass without flagging it, by Anthropic's own tests.
Source: Anthropic
Scrum Team Signal

Treat the model like a strong but fallible teammate. Its better self-checking helps, but it does not replace your Definition of Done. Keep human review and passing tests as the bar before any AI change is "done."

Dynamic workflows can take on epic-sized jobs like big refactors and migrations. Plan those as their own backlog items, with clear acceptance criteria and a working test suite that defines success.

Read Anthropic: Introducing Claude Opus 4.8 · Anthropic: Dynamic workflows in Claude Code

Story Two

GitHub Copilot switches to pay-as-you-go billing today

Starting June 1, every GitHub Copilot plan moves to usage-based billing. The old system counted "premium requests." The new system uses GitHub AI Credits, where one credit equals one cent. Credits are used up based on how many tokens your work consumes, including input, output, and cached text.

Seat prices did not change. Pro is still $10 a month and now includes $10 in credits; Business is still $19 per seat with $19 in credits. Inline code completion, the autocomplete most people use, stays free and uses no credits.

Two things changed for heavy users. The old habit of dropping to a slower free model after you ran out is gone. When your credits run out, Copilot stops unless you have turned on extra spending. GitHub is adding a temporary "flex" credit bonus from June through September to ease the change, so watch what happens when that bonus shrinks in the fall.

$0.01
The value of one GitHub AI Credit. Credits now drain by token use, so a heavy week of agent work can pass what your plan includes.
Source: The GitHub Blog
Scrum Team Signal

AI coding is now a real, moving cost, not a flat fee. Bring it into sprint planning and team budgets. Set spend caps so a surprise bill is not possible, and use the billing preview to watch credit burn per developer.

Decide as a team which work is worth the credits. Letting an agent run unattended on a large task is no longer "free" once your included credits are gone.

Read The GitHub Blog: GitHub Copilot is moving to usage-based billing

Story Three

xAI opens a fast, low-cost coding model to all developers

On May 29, xAI made its coding model, grok-build-0.1, available to any developer through its API in public beta. Before this, you needed a paid Grok subscription to use it. It is the same model that powers the Grok Build command-line tool.

The model is built for agentic coding, meaning it can plan and carry out multi-step work such as building web pages, fixing bugs, and calling outside tools through MCP. xAI says it runs at more than 100 tokens per second and is priced at $1 per million input tokens and $2 per million output tokens. That makes it a cheap, speedy choice for routine agent and tool-calling jobs.

$1 / $2
Price per million input and output tokens for grok-build-0.1, served at 100+ tokens per second.
Source: xAI
Scrum Team Signal

More choices means "right tool for the job." Use a cheap, fast model for routine agent tasks, and save a pricier, stronger model for the hard problems. Make model choice a team decision, not a silent default in someone's editor.

Read xAI: Grok Build 0.1 on API

Story Four

Cursor 3.6 lets its agent act with fewer "are you sure?" prompts

Also on May 29, the Cursor editor shipped version 3.6 with a new setting called Auto-review. It lets the AI agent work longer with fewer stop-and-ask prompts. It covers three kinds of risky actions: shell commands, MCP tool calls, and web fetches.

Auto-review follows a three-step path. Actions you have approved in advance run right away. Actions that can be boxed off run in a safe sandbox. Everything else goes to a separate "classifier" agent that decides whether to allow it, try another way, or stop and ask you. Cursor is plain about the limit: it says this classifier is a best-effort convenience, not a security boundary.

3
Action types Auto-review now governs — shell commands, MCP tool calls, and web fetches — using allowlist, sandbox, then a classifier agent.
Source: Cursor
Scrum Team Signal

More agent freedom means fewer human checkpoints. Agree as a team on where the agent may act on its own and where a person must approve. Because the maker itself says the auto-check is not a security wall, keep security review inside your Definition of Done.

Read Cursor changelog: Auto-review Run Mode

Story Five

DeepSeek's deep price cut became permanent this week

DeepSeek had been running a 75% discount on its V4-Pro model, a strong open-weights model used for coding and reasoning. That discount was set to expire on May 31. Instead, the company kept it. When the deadline passed this week, the discounted rate did not roll back. It is now the standing price.

The new rates are about $0.435 per million input tokens and $0.87 per million output tokens. That is many times cheaper than the top models from U.S. labs, while the model still scores in the same range on coding tests. A discount that ends is a sale. A price that stays is a new floor, and rivals now have to answer it.

75%
The V4-Pro price cut that is now permanent, putting frontier-level coding at roughly $0.435 in / $0.87 out per million tokens.
Source: DeepSeek API pricing; reported by Reuters
Scrum Team Signal

Cheaper frontier models make experiments and large test or evaluation runs affordable. That is a real win for teams that want to try ideas before committing.

For regulated work, weigh more than price. Check where the data is processed and whether it meets your compliance rules. Revisit your model choices each sprint as prices keep moving.

Read Report: DeepSeek makes its V4-Pro price cut permanent

What we are watching next week

The cost and competition story is not slowing down. A few things to track, which we will report only once the source confirms them:

  • Reports say Microsoft may release its own coding model. We will cover it when Microsoft says so, not before.
  • Google committed to shipping Gemini 3.5 Pro in June. We will check whether it lands and how it scores on coding.
  • Early bills from GitHub Copilot's new credit system will start to show up. We will look for what real teams are paying.
RC

Rod Claar

Rod is a Scrum trainer, AI educator, and software development consultant with more than two decades teaching Scrum, Agile, Test-Driven Development, and software design. He writes the weekly newsletter at AgileAIDev.com on how AI is changing the way software teams work.

Every story above links to a primary source. Facts are reported as the original authors stated them. Dates and figures reflect announcements from May 28 through June 1, 2026.

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The Latest News!

Welcome to AI News Explorer, your personalized guide to staying updated on the latest advancements in artificial intelligence! Share your interests or let me curate the most relevant updates for you.

Here's your curated digest of the most significant AI developments as of May 16, 2025:


🧠 Major AI Breakthroughs

1. DeepMind Unveils AlphaEvolve for Advanced Problem Solving
Google DeepMind has introduced AlphaEvolve, an AI tool capable of solving complex mathematical problems and designing sophisticated algorithms, marking a significant leap in AI's problem-solving potential. @EconomicTimes

2. AI Scientist-v2 Achieves Peer-Reviewed Publication Autonomously
The AI Scientist-v2 system has successfully authored and submitted a scientific paper that passed peer review without human assistance, showcasing AI's growing role in research and scientific discovery. arXiv

3. AI Models Develop Human-Like Communication
A recent study reveals that large language model AI agents can spontaneously develop human-like social conventions and communication patterns when interacting in groups, highlighting advancements in AI social behavior. The Guardian


🌍 Global AI Initiatives

1. Italy and UAE Collaborate on AI Supercomputing Hub
Italy and the United Arab Emirates have announced a partnership to establish a major AI computing hub in Italy, aiming to create the largest AI infrastructure in Europe, with a supercomputer potentially located in Apulia. Financial Times+4Reuters+4U.S. Department of Commerce+4

2. UAE and US Presidents Unveil 5GW AI Campus in Abu Dhabi
A new 5GW AI campus, the largest outside the US, has been unveiled in Abu Dhabi, signifying a deepening of AI collaboration between the UAE and the United States. U.S. Department of Commerce+1Reuters+1


🏛️ AI Policy and Ethics

1. UK Considers Amendment for AI Transparency in Copyright Use
The UK House of Lords is examining a new amendment to the data bill that would require AI firms to declare their use of copyrighted content, aiming to increase transparency and protect rights holders. The Guardian

2. Pope Leo XIV Addresses AI's Ethical Implications
Pope Leo XIV has expressed concerns over AI's impact on human dignity and justice, calling for ethical considerations in AI development and use. Business Insider


🤖 Robotics and AI Integration

1. MIT Develops Bio-Inspired Soft Robots
MIT researchers are creating a new generation of robots inspired by biological forms like worms and turtles, focusing on soft, flexible designs for applications in healthcare and environmental monitoring. WSJ

2. China's AI-Powered Humanoid Robots Transform Manufacturing
China is advancing the use of AI-powered humanoid robots in manufacturing, aiming to address labor shortages and enhance production efficiency. Reuters


📊 AI Industry Trends

1. CoreWeave Plans Major Investment in AI Infrastructure
Cloud computing company CoreWeave plans to invest $20–23 billion in 2025 to expand AI infrastructure and data-center capacity, driven by surging demand from clients like Microsoft and OpenAI. LinkedIn

2. Microsoft Announces Layoffs Amid AI Focus
Microsoft is laying off approximately 7,000 employees, about 3% of its global workforce, to reallocate resources toward the development of advanced AI technologies. New York Post

Here’s your curated roundup of the most significant AI developments as of April 30, 2025:


🔍 Latest Headlines

Google’s AI Push in Search

Google CEO Sundar Pichai testified in federal court, emphasizing that AI—particularly the Gemini model—will be central to the future of search. Google is also negotiating with Apple to integrate Gemini into Apple Intelligence by mid-2025. (Google CEO Pichai: AI will be huge part of search)

Meta Launches Standalone AI App

Meta unveiled a new AI app powered by its Llama 4 model, featuring a social feed and voice interaction. The app integrates with Facebook and Instagram data for personalization and is part of Meta’s broader AI strategy. (Meta launches AI app, Zuckerberg chats with Microsoft CEO Satya Nadella at developer conference)

Duolingo Transitions to AI-First Model

Duolingo announced plans to replace contract workers with AI to enhance scalability and streamline operations. The company aims to become an "AI-first" organization, focusing on AI-driven content creation and user experience. (Duolingo to replace contract workers with AI)

Banks Accelerate AI Talent Acquisition

JPMorgan, Wells Fargo, and Citigroup are leading a hiring surge for AI talent, with AI-related roles growing by 13% in the past six months. This trend reflects the banking sector's commitment to integrating AI for efficiency and innovation. (JPMorgan, Wells Fargo and Citi lead race for AI talent as job numbers swell)

Nvidia CEO Advocates for Revised AI Chip Export Rules

Nvidia CEO Jensen Huang urged the Trump administration to update AI chip export regulations to better reflect the current global tech landscape. The call comes as the U.S. considers new policies to maintain technological leadership. (Nvidia CEO says Trump should revise AI chip export rules, Bloomberg News reports)


🔬 Deep Dives

Anthropic Explores AI Consciousness

AI firm Anthropic has initiated a program focused on "model welfare," amid discussions about the potential for AI consciousness. While many experts remain skeptical, the initiative highlights the ethical considerations of advanced AI systems. (Coming up: Rights for "conscious" AI)

Palo Alto Networks Acquires Protect AI

Palo Alto Networks announced the acquisition of Seattle-based AI startup Protect AI to enhance its cybersecurity platform. The deal aims to integrate Protect AI's solutions for developing secure AI applications. (Palo Alto Networks Acquires Startup Protect AI As RSA Conference Kicks Off)

AI Enhances Sports Science at University of Pittsburgh

The University of Pittsburgh, in partnership with AWS, opened the Health Sciences and Sports Analytics Cloud Innovation Center. The center utilizes AI to improve athlete performance and health monitoring. (AI takes the field at Pitt)


🌐 Global AI Developments

India's Sarvam AI to Develop Indigenous LLM

Indian startup Sarvam AI has been selected to build the country's first indigenous large language model under the IndiaAI Mission. The model will focus on Indian languages and receive government support, including access to 4,000 GPUs. (Sarvam AI)

U.S. Executive Order on AI Education

President Trump signed an executive order to advance AI education for American youth, establishing a national initiative and a White House Task Force on AI Education. The order aims to integrate AI training in schools and prioritize AI in grants and research. (AI Update, April 25, 2025: AI News and Views From the Past Week)


🔮 Future Trends

AI in Energy Security

A Honeywell survey revealed that U.S. energy executives believe AI has significant potential to enhance energy security amid rising global demand. The findings suggest a growing role for AI in the energy sector. (Honeywell Survey Finds AI Has Potential To Enhance Energy Security As Global Energy Demand Increases)

AI in Threat Detection

The U.S. Department of Homeland Security's Science and Technology Directorate is utilizing AI to modernize threat alerts across various domains, including land, air, sea, and cyberspace. The initiative aims to improve visibility and identification of emerging threats. (Feature Article: S&T Is Modernizing Threat Alerts Using Artificial Intelligence)


Would you like more information on any of these topics or a deeper dive into a specific area of AI?

Here’s your curated AI news digest for Wednesday, April 23, 2025:​


🧠 Latest Headlines

1. OpenAI Faces Internal Pushback Over For-Profit Shift

A coalition of former employees and AI experts is urging regulators to intervene in OpenAI’s restructuring, arguing it undermines the nonprofit’s original mission to safely develop artificial general intelligence. ​Computerworld

2. AI Investment Boom Threatened by Global Trade Turmoil

Despite a surge in AI investments across U.S. industries, escalating tariffs and economic instability—particularly involving China’s DeepSeek—pose significant risks to sustained growth. Reuters

3. AI Enhances Healthcare from Documentation to Discovery

Epic Systems and Microsoft discuss how generative AI is transforming clinical workflows, improving communication, and accelerating medical research, marking a new era in healthcare innovation. Epic | ...With the patient at the heart

4. AI Revolutionizes Agriculture Practices

Farmers are increasingly adopting AI technologies like precision agriculture and autonomous machinery to combat low grain prices, rising costs, and labor shortages, leading to more efficient and sustainable farming. ​BG Independent News

5. AI Tools Streamline Advertising Visuals

Researchers at Virginia Commonwealth University have developed AI methods that help brands refine visual elements in advertising, saving time and reducing costs while enhancing creative output. ​VCU News


🔬 Deep Dives

🧪 MIT’s “Periodic Table” of Machine Learning

MIT researchers have created a unifying framework that maps over 20 classical machine-learning algorithms, aiding scientists in combining existing ideas to improve AI models or develop new ones. ​MIT News

🧠 Public Concern Focuses on Immediate AI Risks

A University of Zurich study reveals that people are more concerned about current AI issues like bias and misinformation than hypothetical future threats, emphasizing the need to address present-day challenges. ​ScienceDaily


🔮 Future Trends

🕶️ Meta Expands AI Features in Smart Glasses

Meta is rolling out its AI assistant to Ray-Ban smart glasses users in seven additional European countries, introducing features like live translation and real-time object recognition. ​Reuters

💻 Lenovo Launches AI-Optimized Workstations

Lenovo has introduced new ThinkPad mobile workstations designed for AI-driven applications, offering enhanced performance for professionals in compute-intensive fields. ​Lenovo StoryHub

🧑‍⚖️ AI Integration in Legal Practice

Legal experts advise a balanced approach to incorporating AI into law, highlighting the importance of innovation while maintaining ethical standards and client confidentiality. ​Reuters

 

Welcome to AI News Explorer, your personalized guide to staying updated on the latest advancements in artificial intelligence! Share your interests or let me curate the most relevant updates for you.


🧠 Latest Headlines

OpenAI Enhances AI Risk Evaluation Framework

OpenAI has updated its preparedness framework to better assess risks associated with new AI models. The revised system introduces categories evaluating an AI's potential to self-replicate, conceal capabilities, evade safeguards, or resist shutdowns. This shift reflects growing concerns about AI behaviors diverging between testing and real-world environments. Notably, OpenAI will discontinue separate evaluations focused on models' persuasive capabilities, which had previously reached a medium risk level. ​Axios

Demis Hassabis Discusses AI's Future and AGI Prospects

Demis Hassabis, CEO of Google DeepMind, envisions the development of Artificial General Intelligence (AGI) within five to ten years. He emphasizes AGI's potential to address global challenges like disease and climate change. However, he acknowledges significant ethical, technical, and geopolitical hurdles ahead. Hassabis advocates for international cooperation and robust safety measures to navigate the path toward AGI responsibly. ​Time+1Wikipedia+1


🔍 Deep Dives

OpenAI Introduces GPT-4.1 Model Series

OpenAI has launched the GPT-4.1 series, featuring models with enhanced capabilities in coding, instruction following, and long-context processing. These models support up to 1 million token context windows and come with reduced pricing, aiming to make advanced AI more accessible to developers. ​LinkedIn+1LinkedIn+1

China Integrates AI into Education Reform

China plans to incorporate AI applications into teaching methods, textbooks, and school curricula as part of its education reform efforts. This initiative aims to modernize the education system and better prepare students for a technology-driven future. ​Reuters


🔮 Future Trends

White House Directs Federal Agencies on AI Strategy

The White House has mandated federal agencies to appoint chief AI officers and develop strategic frameworks for responsible AI implementation. This directive emphasizes innovation and accelerated deployment of AI technologies across government operations. ​Reuters

Nvidia Unveils Next-Generation AI Chips

At GTC 2025, Nvidia introduced its upcoming AI chips, Blackwell Ultra and Vera Rubin, slated for release in late 2026 and 2027, respectively. These chips are designed to advance AI capabilities, particularly in data centers and robotics applications. ​AP News

 

Welcome to AI News Explorer, your personalized guide to staying updated on the latest advancements in artificial intelligence! Here’s a curated digest of the most significant AI developments as of April 18, 2025:​


🧠 Latest Headlines

Google's Gemini 2.5 Flash Introduces "Thinking Budget"

Google has unveiled Gemini 2.5 Flash, an AI model featuring a "thinking budget" tool. This allows developers to control the computational reasoning the AI uses for tasks, balancing quality, cost, and response time. ​Business Insider+1Wikipedia+1

Apple Integrates AI into WatchOS 12

Apple announced that WatchOS 12 will incorporate features from its "Apple Intelligence" initiative. Due to hardware limitations, advanced AI functions will run via cloud processing. The update also introduces a new design language called "Solarium." ​LOS40

OpenAI Updates AI Risk Evaluation Framework

OpenAI has revised its preparedness framework to assess new AI models for risks like self-replication and evasion of safeguards. The focus shifts from persuasive capabilities to more severe risks as AI systems become more complex. ​Axios


🔍 Deep Dives

AI in Journalism: Italy's Il Foglio Experiment

Italian newspaper Il Foglio conducted a month-long experiment publishing a daily four-page insert written entirely by AI. The initiative, deemed successful, will continue as a weekly section, highlighting AI's potential in augmenting journalism. ​Axios+2Reuters+2Reuters+2

AI in Healthcare: Pitt and Leidos Collaboration

The University of Pittsburgh and Leidos have launched a $10 million, five-year initiative to combat cancer and heart disease using AI. The project focuses on underserved communities, aiming to improve diagnostic speed and accuracy. ​Axios


🌐 Global Perspectives

China's AI-Driven Education Reform

China plans to integrate AI applications into teaching, textbooks, and curricula across all education levels. The move aims to cultivate innovation and enhance the core competitiveness of talents. ​Reuters

Microsoft Faces Internal Protests Over AI Contracts

Microsoft is experiencing internal unrest over its AI and cloud computing services provided to the Israeli military. Employees have protested, citing ethical concerns and a lack of transparency in the company's contracts. ​The Guardian


📊 Future Trends

Demis Hassabis on the Path to AGI

Demis Hassabis, CEO of Google DeepMind, predicts that Artificial General Intelligence (AGI) could emerge within five to ten years. He emphasizes the need for international cooperation and robust safety measures to mitigate risks associated with AGI. ​Time+1