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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?

🚀 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 |
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🧰 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.