DevelopersHangout and No-Code News

Watch the full video: Week 44 No-Code News on YouTube

This week brought some of the biggest announcements in no-code and AI automation. Here's your quick rundown of what matters:

Softr Workflows Launch

• Native automation built directly into Softr—no need for external tools like N8n
• Workflows integrate seamlessly with your data and UI
• Makes Softr a true full-stack platform
• Why it matters: Eliminates the intimidation factor of switching between tools for automation

Zapier Enterprise AI Orchestration

• Connecting legacy systems with modern workflows using AI
• Orchestrating data and automations in one place with AI-powered data transformation
• Why it matters: Proof that enterprise AI adoption is about implementation, not failure

Bubble.io AI-Powered Building

• AI is now assembling Bubble's pre-built blocks into applications
• Reduces the need to be a "master builder" to use Bubble effectively
• Why it matters: Makes powerful no-code tools accessible to non-technical users

N8n Enterprise Cloud

• AI chat-driven workflow building
• GitHub integration for source control
• The question: Can N8n compete with chat-first builders, or is it serving a different audience?

Google Opal Expansion

• Simple prompt-to-app building for internal teams
• Creates intranet-facing applications, not public websites
• Why it matters: Makes it easy for office staff to build and share tools quickly

Microsoft 365 No-Code Tools

• New app builder and workflow automation for the Microsoft ecosystem
• The caution: Avoid vendor lock-in, but worth considering for Microsoft-heavy organizations

What is MCP? A protocol that helps AI agents interact with backend systems without writing custom integration code. Instead of 200+ lines of API integration, you install an MCP server and the AI handles everything.

This Week's MCP News:

• GitHub MCP Registry launched with 44 curated servers (Microsoft, Stripe, Unity, Notion, HashiCorp)
• Enterprise governance features for managing approved MCP servers
• London Stock Exchange (LSEG) partnered with Anthropic to bring financial data via MCP
• Dify (117k GitHub stars) added MCP protocol support
• IBM i MCP Server (beta) brings AS/400 legacy systems to AI agents
• Microsoft Fabric MCP (public preview) for data platform integration

New MCP Servers This Week:

• DollhouseMCP - AI persona switching
• gotoHuman - Human-in-the-loop approvals for AI automations
• Zoom MCP - Meeting management via natural language
• Hostinger MCP - Infrastructure automation
• GitLab MCP - Project management integration

The Numbers: 10,743+ MCP servers now available in community registries

Security Alert: Critical RCE vulnerability discovered in Figma MCP Server (10k+ stars)

Low-Code Platforms:

• NocoBase (17k stars) - Low-code platform with real AI agents
• ToolJet, Appsmith, Budibase - Internal tools builders gaining traction
• Refine.dev - React-based dashboard framework (great for quick dashboard builds)

AI Workflow & Agent Orchestration:

• n8n (151k stars) - Still the leader
• Dify (117k stars) - Rising star with MCP support
• Flowise, Kestra, Node-RED - Workflow automation alternatives worth watching

Smart Spreadsheets & Database Tools:

• Supabase - Powerful but heavy
• NocoDB - Nice interface, lighter weight
• BaseRow - Another solid option
• Teable - UI for database management with integration options

Pro Tip: When evaluating GitHub projects, check the Insights tab to see if the community is still active. Stars can be misleading—look for recent pull requests and commits.

AI Design Workflow Guide

• Using Cursor, Claude, and ShadCN with guardrails and boundaries
• Building systems that keep AI on track

Local AI Coding Setup

• How to run AI models locally without $80/month subscriptions
• Privacy benefits and cost savings

1. Softr is becoming a full-stack platform with native workflows—this is a big competitive move
2. MCP had its "npm moment" with GitHub's registry launch—this protocol is going mainstream
3. Enterprise no-code adoption is accelerating (Zapier, Microsoft, Google all making moves)
4. Open-source no-code tools are thriving with active communities and rapid development
5. Code reduction is real - MCP servers eliminate hundreds of lines of custom integration code

Watch the full breakdown: Week 44 No-Code News on YouTube

All links and show notes: alfrednutile.info

What's your take on this week's news? Are you using Softr Workflows? Have you tried building with MCP? Drop a comment and let me know what you're working on!

Subscribe to this newsletter to get weekly no-code news delivered to your inbox, and subscribe to the YouTube channel for video breakdowns every week. See links below

#NoCode #LowCode #AI #Automation #MCP #Softr #Zapier #Bubble #GitHub #OpenSource

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🚀 No-Code + AI Is Entering a New Phase (Week 43 Analysis)

This week was a turning point.

Anthropic just gave non-developers the ability to automate desktop apps without code. Softr released workflows that could seriously disrupt tools like N8N. OpenAI wants to own the browser layer—while Google quietly rolls out “vibe coding” that lets you build apps on the fly.

These aren’t isolated features—they’re signals.

✅ AI is becoming the backend.
✅ No-code platforms are becoming the operating system for businesses.
✅ And the companies that adapt fastest will outpace traditional developers still stuck in code-first thinking.

🎥 I broke down the most important launches, what they mean for builders, and how these trends are reshaping the future of internal tools, automation, and agent-based systems.

👉 Watch the full breakdown here https://youtu.be/V3QPRkrDmnc

If you’re building in the no-code or AI space—or leading teams who need to move faster with less code—this is the week to pay attention.

#nocode #aiagents #automation #enterpriseAI #startups #innovation

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🛠️ News for Builders – July 21, 2025

Hosted by Alfred Nutile | DailyAi.Studio
A weekly roundup of the tools, trends, and insights that matter to builders, creators, and developers—with opinions from someone who’s in the trenches building every day.

This week I cover AWS’s new IDE, the rise of context engineering, new creative tools from 11 Labs and Veo, a promising open-source model from China, and why Vibe Kanban might be a breakthrough for non-developers.

🎯 Not just headlines—these are builder-tested insights on what matters and why.

⸻

⏱️ Timestamps

00:00 – Intro: Why I’m doing this
01:00 – AWS Kiro IDE: Another IDE? Maybe, but it shows where things are headed
02:00 – Context Engineering: Useful evolution or over-complication?
03:00 – Eleven Labs + Veo 3: Creative tools worth exploring
04:00 – Rork + Expo: Why I’m revisiting mobile app development
05:00 – Kimmy K2: Powerful open-source model with real promise
06:00 – Claude Code Tips: Workflow boosts worth noting
07:00 – Vibe Kanban: My favorite this week—and why it might change things for non-devs
08:00 – Wrap-up & How to Contribute

⸻

🧩 Links & References

📑 My full spreadsheet of news, tools, and links:
👉https://docs.google.com/spreadsheets/...

🔗 Tools & Topics Mentioned:
• AWS Kiro IDE – https://kiro.dev/
• Cole’s Context Engineering Video – • Context Engineering is the New Vibe Coding...
• Eleven Labs + Veo – • Google Veo 3 For AI Filmmaking - Consisten...
• Rork (Level-style IDE for mobile) – • Can I clone Duolingo using this AI mobile ...
• Kimmy K2 (Open-source LLM) – • Kimi K2 Codes at LIGHTNING Speed

Coder
• Kimi Coder: FULLY FREE + FAST AI Coder! Hi...
• Claude Code Tips Video – • I Went Deep on Claude Code—These Are My To...
• Vibe Kanban –https://www.vibekanban.com/

⸻

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💡 Want help building your own AI workflows or no-code systems?
Book a free consult → https://dailyai.studio

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🔔 Subscribe for weekly updates on tools, trends, and builder insights.

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🎧 Episode 37: Stop Coding, Start Building

If you're learning to code, launching a startup, or hiring a dev—you need to hear this.

In this episode, I talk through:

• Why code is no longer the starting point
• The shift from developer to builder
• Tools like n8n, Supabase, Bolt.new, and Cursor
• How AI and no-code platforms are reshaping productivity
• The real job of a developer (hint: it’s not writing code)

I’ve spent 20+ years in dev—Laravel, PHP, Rails, you name it—and I’m telling you: I’ve never written less code, and I’ve never built more valuable tools.

🛠 Mentioned tools:

• n8n
• Supabase
• Bolt.new
• Cursor

💡 Key Quote:

“People aren’t paying you to write code—they’re paying you to solve problems.”

Subscribe for more thoughts on building smarter, not harder.
👉 My Substack
👉 YouTube Channel

Thanks for listening!

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https://youtu.be/VVQIOUfC3DA
Join Roberto and Alfred as they explore the latest in AI-driven development, sharing their experiences with tools like Bolt, Cursor, and n8n. Discover the power of no-code and low-code strategies, the challenges and innovations in the field, and insights into the future of AI in software development.

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No specific links mentioned in the video.

[00:00:00] Introduction to AI in Development
[00:01:00] Updates on Bolt Hackathon
[00:03:00] Comparing Bolt with Cursor
[00:05:00] Trusting AI in Development
[00:08:00] Low-Code Solutions with Slack and Google Sheets
[00:11:00] Overcoming Google Sheets Limitations
[00:14:00] Exploring Cursor and VS Code
[00:17:00] Background Agents in Cursor
[00:20:00] n8n as a Development Tool
[00:25:00] Linux Adventures and Virtual Machines
[00:29:00] Using AI for Film and Music Creation
[00:31:00] Conclusion and Future Outlook

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I had a great chat with Roberto Gongora about the fast-evolving landscape of software development in the age of AI and no-code. We dove into the real challenges and opportunities of working with AI-generated code, and how tools like N8n and SuperBase are changing the game. It's a shift from hands-on building to "supervising" ai, and we covered how to navigate this new era with practical strategies and the skills you'll need.

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Here is a summary of the comparison between n8n and ActivePieces, emphasizing the key points for freelancers, entrepreneurs, and SaaS product development:

• n8n utilizes a "Sustainable Use License" which is free for internal business and non-commercial use, including node creation, consulting, and support. However, it restricts commercial hosting, white-labeling, and building products where users connect their own credentials to external services without an enterprise license. The core version is free, but enterprise licenses for broader commercial use start at $25,000 per year.
• ActivePieces, on the other hand, uses an open-core model with the core functionalities under the MIT license. This allows for greater freedom, including commercial use and self-hosting without limitations. A free community edition is available with essential features. However, certain enterprise features and cloud usage have limitations unless you pay for a commercial license.
• Target audience: n8n is more developer-centric, while ActivePieces caters to non-technical users and offers more flexible pricing for non-technical teams.
• SaaS Product Development: ActivePieces allows you to freely use, build, and sell SaaS products. n8n restricts exposing the n8n editor to users or allowing them to use their own credentials to connect to external services without an enterprise license.
• Cost: n8n's core is free, but enterprise licenses begin at $25,000/year, while ActivePieces has a free community edition, and its cloud plans start with a free tier.
• Flexibility: For maximum flexibility and the ability to build commercial SaaS products, ActivePieces’s MIT license offers an advantage. If needs are primarily internal, n8n is a robust, cost-effective solution.

Detailed Chat here https://docs.google.com/document/d/1f2fgrofX620Wt9rbVO0Xax0gmYTkfNHAblY50QmzcY0/edit?tab=t.0

And a YouTube Video
https://youtu.be/uOwscCxU5H4

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In this episode, I sit down with Roberto Gongora, a developer I've worked with since our Pfizer days, to explore how AI and no-code tools are reshaping our approach to development in 2024. We dive into a recent project where Roberto used n8N instead of traditional Laravel for building an API backend - a decision that not only saved time but made the entire system easier to maintain and debug.

What's fascinating is how Roberto's perspective on development is evolving. Rather than getting lost in complex code implementations, he's finding himself spending more time understanding business problems and letting AI handle the heavy lifting. We explore his experience with n8N's visual workflow system for API integration, how it simplified debugging compared to traditional logging systems, and why sometimes the "coder's instinct" to build everything from scratch might not be the best approach anymore.

As we look toward 2025, Roberto shares his prediction that while coding isn't going away, a developer's role is shifting more toward being an "orchestra conductor" - guiding AI tools and no-code solutions rather than writing every line of code by hand. It's a candid conversation about adapting to new tools while keeping focus on what really matters: delivering value to clients faster and more efficiently.
If you're a developer wondering how to stay relevant in an AI-powered future or just curious about practical ways to work smarter rather than harder, this episode offers real-world insights from the trenches of modern development.

00:00
Introduction to N8N and Project Retrospective
01:52
Transitioning from Laravel to N8N
06:01
Exploring N8N's Features and Challenges
12:00
Aha Moments and Insights from Using N8N
17:59
Comparing N8N with AI Coding Tools
26:03
Future of Development: Embracing AI and No-Code Solutions

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This podcast episode delves into a developer's 25-year journey, reflecting on how the rise of AI and low-code/no-code tools is reshaping software development. The discussion highlights a shift from traditional frameworks like Laravel to more flexible solutions incorporating tools like N8N, Bolt.new, and Cursor AI. The core idea is to prioritize efficiency and problem-solving over the act of coding itself.
Key points include:
● A move from Laravel-centric development: The developer acknowledges that while Laravel was a go-to in the past, it's no longer the only answer for web applications.
● Embracing low-code/no-code: The emergence of tools like N8N has enabled faster development and easier maintenance with less code.
● Focus on practical solutions: The emphasis is on building tools that effectively solve client problems, save time, and reduce costs.
●Specific project examples show how the developer is rethinking his approach:
○ Email Opt-Out System: Previously built with Laravel in two days, it can now be set up with N8N in 2–4 hours, using an LLM to parse emails and update databases and Google Sheets.
○Water Registration Project: This project, which involved a signup process, backend operations, and data extraction, can now have 50-80% of its backend moved to N8N. This reduces the need for custom code for processes like handling PDF reports, running them through OCR/LLM, and extracting structured data.
○RAG Chat System: Instead of a custom-built system, an off-the-shelf solution or a combination of Bolt.new, Cursor AI, and N8N can be used, potentially cutting development time from 2-4 weeks to a few days.
●AI as a "superpower": AI tools enable developers to tackle previously avoided projects with new confidence. For example, data conversions, browser extensions, and data scraping, which used to take considerable time and money can now be done quickly with the help of AI tools.
●Backend processes are being streamlined using tools like N8N, Bolt.new and Cursor to build user interfaces quickly.
●Future approach to SaaS: For new SaaS ideas, the developer plans to use Bolt.new or FlutterFlow with N8N as a backend for rapid development.
●A shift in mindset: The developer is re-evaluating his tech choices and embraces a "build a little, learn a lot" approach, adapting to the changing tech landscape. This involves a move away from the "artisan" approach to coding and more of a focus on practical solutions that make or save clients money.
●PHP is not the default: The author also notes that many new AI tools are better with Python and Javascript than PHP which is something to consider when choosing a tech stack.
The podcast episode is a reflection on how the developer is adapting to new technologies and a discussion about how these changes impact project builds, and what it means for software development going forward.

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Read more at https://sundance-solutions.mailcoach.app/php-and-llms

Lots of things going on that I want to share below.

This really is an automations chapter and a lot to learn about how to automate so many tasks.

https://bit.ly/php_llms

All the code is there too to run a Laravel Assistant for Marketing and anything else.

Next chapter is runing Standard Checking type Assistant some of the key use cases are

Ensure team coding standards are always in check! 💻

Dive into document pages and easily find related content. 🗂️

Smoothly compare RFPs to your solution database for quicker replies. 🔍

More coming soon with the app 100% working to do this!

You can listen to the episode here https://readorlisten.com/episodes/marketing-assistant-and-other-automations

One call later Eric Barnes saved hours of boring work! Now he just hits the api with the link, it scrapes the web and verifies the site is about technology and not spam!

https://x.com/ericlbarnes/status/1844376408866574746

Wnat to save time at your company reach out to me at https://dailyai.studio/

I will talk about that more later but the image is from https://ideogram.ai/t/explore

Great way to make images with text!

Wow this one continues to blow me away https://n8n.io/
Integrate any service! Seriouly amazing and powerful that plus https://bolt.new and a lot of non-coders are empowered to buidl amazing things

Alright now for the rest of the news that caught my attention!

Date: N/A
Watch Here: Embeddings in Depth - YouTube
Summary:
Learn about embeddings in this insightful video, part of the Ollama course, where you'll dive deep into how embeddings work and their practical applications.

Date: November 1, 2023
Watch Here: Build Advanced Voice AI Tools - YouTube
Summary:
This tutorial walks you through building powerful voice AI tools using Vapi and N8N. It covers how to integrate voice services with custom automation workflows to create advanced AI solutions.

Date: N/A
Learn More: Gmail Integrations - N8N
Summary:
Explore the integration of Gmail with N8N to streamline email workflows. This resource outlines various automations that can make managing your inbox and business communications much more efficient.

Date: October 14, 2024
Learn More: GroqCasters - GitHub
Summary:
GroqCasters is an open-source Python application that uses AI to generate podcasts, from script writing to audio production. Discover how to create your own AI-powered podcasts effortlessly with this tool.

Date: May 16, 2023
Learn More: Example Article
Summary:
A deep dive into structuring and formatting scraped HTML content into usable data. This example shows how scraped news articles can be organized efficiently for further analysis or display.

Feel free to modify or adjust the format according to your specific newsletter layout or audience! Let me know if you'd like further customization.

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