💡 90% of Devs Now Use AI

Welcome to Guru99 AI Report!

Together With 👉 NinjaOne👈

Thursday's top story Hey there! Ever wondered what happens when 90% of developers start coding with AI by their side? In today’s edition, we dive into the new AI-driven workflow - and how it’s transforming work, law, and design faster than you think.

🧠 What's Driving Developers' AI Obsession?

Brief Buzz: AI has officially joined the dev team. According to Google's State of AI-assisted Software Development report, a whopping 90% of software developers now use AI tools, with most spending about two hours daily collaborating with their digital co-workers.

• Top tasks: Writing new code (71%), modifying code (66%), and writing documentation (64%)
• Debugging boost: Over half rely on AI for debugging, code review, and legacy maintenance
• Growing dependence: 65% "heavily" rely on AI, though 30% still harbor trust issues
• Automation caution: 61% avoid fully autonomous "agentic" AI modes, signaling limited trust in end-to-end automation

Why Should You Care?

This marks a paradigm shift in software creation — AI isn't replacing developers but redefining their roles. As experts like Bob Rogers of Oii.ai and BeeKeeper AI note, human oversight remains critical as automation scales. Meanwhile, companies are eyeing cost savings—some even preparing to replace workers with AI by 2026. Whether you code or consume tech, this AI-human collaboration is reshaping how software—and future jobs—get built.

👉 Find out what's fueling low-code adoption everywhere.

👉 In partnership with NinjaOne

I reviewed this NinjaOne harnesses artificial intelligence to simplify endpoint management, patching, and overall IT operations. Its AI stack focuses on turning the flood of patch data and device telemetry into precise, actionable guidance for busy IT teams. One flagship capability is Patch Intelligence AI, which applies generative-AI–powered sentiment analysis to Microsoft KB updates and other patches, ranking each update’s stability based on global telemetry and community feedback so you can pre-empt incompatible or risky fixes before they hit production.

Beyond individual patches, NinjaOne feeds that same AI signal into a risk-based vulnerability workflow. By blending CVE/CVSS scores with its AI-driven patch sentiment, the platform automatically surfaces the vulnerabilities most likely to compromise your estate, trims noise, and proposes the fastest remediation path—all from a single console.

• Patch Intelligence AI: Generative-AI sentiment analysis highlights unstable Windows and third-party patches and recommends delay or sandbox testing.
• Predictive Endpoint Analytics: ML models detect anomalies early and launch policy-based remediation to prevent downtime.

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📰 California Passes Nation's First Frontier AI Law

Brief Buzz: California just made history by passing the Transparency in Frontier Artificial Intelligence Act (TFAIA) — the first U.S. law focused on safety and transparency for frontier AI systems. Governor Gavin Newsom's signature cements the state's role as both an AI innovation hub and a policy pioneer.

• Developers must report AI safety incidents and ensure transparency in model design.
• The law mandates guardrails for developing powerful “frontier” AI models.
• It follows a first-of-its-kind state report on AI safety, shaping evidence-based policy.
• Arriving ahead of federal action, California aims to set a national standard for responsible AI.
• A related AI Child Protection Bill seeks to shield minors from risky chatbot interactions, though it’s drawn criticism from industry groups like the Computer and Communications Industry Association.

Why Should You Care?

This move could reshape how AI is built and governed across the U.S. By demanding accountability and transparency, California's framework may become a blueprint for safe, ethical AI nationwide—affecting everything from how your apps use data to how future AI systems earn public trust.

⚡️ 5 AI Tools to Supercharge Your Productivity

👉 Xero AI-powered features streamline financial management by automating tasks like invoice processing and bank reconciliation. Its predictive analytics provide actionable insights, helping businesses forecast cash flow and make data-driven decisions effortlessly.

Visit Xero

👉 ActivTrak AI-powered workforce-analytics engine auto-classifies every app & website activity to reveal focus vs distraction trends and productivity baselines. Predictive coaching dashboards surface "nudges" for managers, using ML to flag at-risk teams and recommend schedule or workload tweaks.

Visit ActivTrak

👉 Textline now includes AI‑powered text generation, enabling users to craft messages with just a text prompt. It offers AI summarization, which condenses longer conversations or documents into brief, digestible summaries.

Visit Textline

👉 Bambee leverages AI to provide personalized HR guidance for small to mid-sized businesses. Its AI-driven features include automated compliance tracking, customized HR policy recommendations, and intelligent issue resolution support. The tool learns from user interactions to improve HR solutions over time.

Visit Bambee

👉 TriNet is an HR and payroll platform that now integrates AI-driven analytics to optimize workforce management. It uses AI insights to predict employee turnover and engagement trends. The tool also offers AI-powered compliance monitoring to automatically detect and flag potential HR risks.

Visit TriNet

✨ Figma AI Transforms Mobile App Design

In this tutorial, you’ll learn how to use Figma AI to transform simple text prompts into fully designed mobile app prototypes — complete with interactive buttons and working states — in just seconds.

Step-by-step:

1. Go to Figma.com, sign in, and click "Make" in the top menu — a chat box will appear asking, "What do you want to make?"
2. Type your app idea or start with a template, for example: "Create an app for tennis players to find community courts, track stats, and share activity, similar to Strava but for tennis."
3. Refine the design by adding specific styling directions, such as: "Clean white background, deep green text, clay beige accents, small pops of neon yellow." Figma AI will automatically adjust spacing, padding, and corner radius to match your style.
4. Add features by prompting, for example: "Add calendar integration for booking courts via cal.com." Figma AI may suggest Supabase for auth and create logical button interactions automatically.
5. Preview your design in a new window, share it with teammates, or export directly to Cursor for full-stack development.

💡 Pro Tip: Treat Figma AI like your junior designer — the clearer your instructions, the better your output. Every refinement moves you closer to production-ready designs with built-in interactive logic.

👉 Enhance app quality through precision testing tools

🧠 How AI Models Are Transforming Fashion

Brief Buzz: AI has officially hit the catwalk. A recent Guess ad featuring an AI-generated model in Vogue has reignited debates about the future of creativity and human work in fashion.

• Major brands like Guess, Forever 21, Levi’s, Mango, and H&M are using AI-generated models in ad campaigns—see how Forever 21’s AI avatars sparked debate on LinkedIn.
• Vogue’s inclusion of an AI model marks a turning point—many see it as mainstream endorsement, while others call for stronger AI regulation in modeling and initiatives like "My Face Is My Own".
• Mixed reactions: Critics worry about consent and authenticity; supporters highlight cost savings and faster production.
• McKinsey projects generative AI could boost fashion profits by $150–$275 billion by 2030, while Analytics Insight reports that 80% of retailers plan to expand AI automation this year.
• Zalando uses AI for 70% of its campaigns, cutting creative turnaround to under a day, powered by digital twin technology.

Why Should You Care?

AI isn't just designing clothes—it’s reshaping who represents them. While it can make fashion more efficient and inclusive through digital twins and global reach, it also challenges ideas of authenticity, identity, and human artistry. The next "face" of fashion may not be human at all.

👉 Learn how smart tools refine every creative choice.

🛠️ How to automate reviews in minutes

In this tutorial, you’ll learn how to connect ChatGPT to your Google Drive knowledge base and use Agent Mode to automatically transform unorganized employee notes into clear, structured performance reviews and improvement plans.

Step-by-step:

1. Create a Google Doc
   Open Google Drive and create a document named "Employee Review". Add rough notes for each employee, including name, role, KPIs, and feedback.
2. Enable Google Drive Connection in ChatGPT
   In ChatGPT, click "+" → "Connected apps", then enable Google Drive access to allow the app to read and update your files.
3. Use a Prompt with Templates
   Enter a system instruction and template prompt such as:
   "Analyze my 'Employee Review' doc and create performance reviews and 30/60/90 PIPs using these formats: [paste templates with SMART goals structure]"
   Ensure your templates follow the SMART goals format for clarity and measurable outcomes.
4. Activate Agent Mode
   Turn on Agent Mode and prompt:
   "Update the Employee Review doc with the structured sections for each person."
   This command lets the agent automatically organize and insert the review sections into the existing document.
5. Schedule Monthly Automation
   Create an automation by prompting:
   "Run third Saturday at 9 AM, update Employee Review doc from latest notes, regenerate reviews and PIPs."
   This ensures that all reviews and improvement plans are refreshed automatically each month.

💡 Pro Tip: Keep adding your rough notes to the Employee Review document every week. The scheduled agent will consolidate and format them monthly. If the agent is unable to edit at first, grant permissions and re-run the task. This automation saves time, maintains consistency, and ensures no review cycle is ever missed.

👉 Streamline operations effortlessly with these automation tools

💡 How to Add Claude to Slack

1. Open Slack and log in to your workspace.
2. In the left panel, go to Apps and click on +Add apps.
3. Select Install, then click Add to Slack.
4. Allow access to your workspace to add Claude to Slack.
5. Once added, click on Claude to start chatting with Claude through DMs.
6. You can also tag @Claude in threads or use the AI assistant panel—which provides access to web search, document analysis, and your connected tools.

💡 Pro Tip: To make the most of Claude in Slack, try using the AI assistant panel to summarize long threads or analyze shared documents directly within your workspace—saving you time and keeping all your insights in one place.

👉 Get projects done faster with agile project management

📸 AI Generator Images: Games