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  • GitHub Copilot crosses 20 million all-time users

GitHub Copilot crosses 20 million all-time users

AND: PlayerZero raises $15M to prevent AI agents from shipping buggy code

TodayOnAI’s Daily Drop

  • GitHub Copilot crosses 20 million all-time users

  • PlayerZero raises $15M to prevent AI agents from shipping buggy code

  • Google says it will sign EU’s AI code of practice

  • 💬 Let’s Fix This Prompt

  • 🧰 Today’s AI Toolbox Pick

📌 The TodayOnAI Brief

GitHub

🚀 TodayOnAI Insight: GitHub Copilot has surpassed 20 million all-time users, marking a sharp uptick in adoption and underscoring Microsoft’s growing dominance in the enterprise AI coding space.

🔍 Key Takeaways:

  • GitHub Copilot added 5 million new users in the past three months, reaching 20 million all-time users.

  • 90% of Fortune 100 companies now use Copilot, with enterprise adoption up 75% quarter-over-quarter.

  • Microsoft says Copilot is now a bigger business than GitHub was at the time of its 2018 acquisition.

  • Cursor, a rising rival, has hit over $500M in ARR and continues to gain ground with daily users and agent features.

  • Major players like Google, OpenAI, and Anthropic are accelerating efforts to capture the AI coding tools market.

💡 Why This Stands Out: Copilot’s momentum reflects a broader shift: AI coding assistants are one of the few AI products generating sustained revenue and enterprise traction. As rivals like Cursor and Devin close in with specialized tools and agent-based workflows, the space is evolving from simple autocomplete to full-stack automation. Will GitHub’s scale and Microsoft’s enterprise muscle be enough to maintain its lead?

PlayerZero

🚀 TodayOnAI Insight: PlayerZero has raised $15M to tackle one of AI coding’s growing challenges: catching and fixing bugs introduced by AI agents—before they hit production. Its AI-driven approach positions it as a foundational layer in enterprise software reliability.

🔍 Key Takeaways:

  • AI agents for debugging: PlayerZero trains models to detect, explain, and fix bugs pre-production by learning from a company’s historical code issues.

  • Enterprise focus: The platform is tailored for large, complex codebases, already in use at customers like Zuora to safeguard mission-critical systems.

  • Founded at Stanford DAWN: CEO Animesh Koratana developed the idea under Matei Zaharia, co-founder of Databricks and an early backer.

  • Funding details: The $15M Series A was led by Foundation Capital, following a $5M seed with angels like Drew Houston (Dropbox), Dylan Field (Figma), and Guillermo Rauch (Vercel).

  • Real-world validation: A live demo impressed Vercel CEO Rauch, helping validate the vision of AI-native software quality control.

💡 Why This Stands Out: As AI agents accelerate code production, quality assurance can’t scale linearly with human oversight. PlayerZero addresses this widening gap by embedding intelligence where it’s most needed: inside the development lifecycle. Its immune system-like approach hints at a broader shift—automated debugging as a prerequisite for trustworthy AI-assisted engineering. Will this become standard infrastructure for the agentic coding era?

Google

🚀 TodayOnAI Insight: Google has agreed to sign the EU’s voluntary AI Code of Practice, signaling a more cooperative stance toward the bloc’s AI Act—just days before key rules for high-risk AI models take effect. Its decision stands in contrast to Meta, which declined to sign, citing regulatory overreach.

🔍 Key Takeaways:

  • Google will adopt the EU’s voluntary AI code, aimed at aligning with the forthcoming AI Act.

  • The code mandates transparency, responsible dataset practices, and cooperation with rights holders.

  • Meta has publicly refused to sign, criticizing the EU’s regulatory direction.

  • The AI Act’s rules for “systemic risk” models—impacting Google, OpenAI, Anthropic, and others—start August 2, with a two-year compliance window.

  • Google voiced ongoing concerns about innovation barriers, citing copyright and trade secret risks.

💡 Why This Stands Out: Google’s commitment reflects a strategic bet on regulatory alignment over resistance—positioning it as a compliant leader amid tightening global AI rules. Meta’s defiance, meanwhile, underscores diverging corporate philosophies on AI governance. As Europe takes a harder line on AI safety, the question remains: will global tech firms fall in line—or fracture?

💬 Let’s Fix This Prompt

 See how a simple prompt upgrade can unlock better AI output.

🔹 The Original Prompt

"Generate blog ideas for a tech company."

At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.

The Improved Prompt

Generate a list of unique, engaging blog post ideas for a B2B tech company that wants to attract decision-makers in mid-sized companies. Focus on topics related to emerging technology trends, industry insights, and practical solutions their software offers. Include suggested titles and a 1–2 sentence summary for each idea.

💡 Why It's Better

  • Specific audience: Targets decision-makers in mid-sized companies.

  • Contextual focus: Emphasizes emerging tech and practical solutions.

  • Actionable output: Requests summaries and titles to spark execution.

  • Tone and style: Guides the type of content (insightful, engaging, relevant).

🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown

💡 Bonus Tool: Want to generate and master prompts instantly?
👉 Try PromptPilot by TodayOnAI (Free to use)

🧠 Smart Picks

📰 More from the AI World

🧰 Today’s AI Toolbox Pick

  • ⚙️Supermanage (Meetings Tool): A Slack extension that captures relevant channel content you need to know before meetings.

  • 🗺MapDeduce (PDFs Tool): Analyzes and processes complex documents.

  • 📋Lean Canvas AI (Entrepreneur Tool): A business plan template generator for entrepreneurs to deconstruct their ideas into key assumptions.