Monthly Update From CEO Who Codes | September 2024

Picture of Andrew Yasynyshyn

Andrew Yasynyshyn

October 16, 2024

👋🏻 Hello, Fellow Tech Enthusiasts!

It’s time for the latest updates from Ralabs and the tech industry.

📊 Focus & Insights

  • We’re preparing for our biannual strategy session. As always, I’ll share key takeaways and insights relevant to both our company and partners. Stay tuned for updates.
  • On October 9th, we’ll be hosting a very interesting webinar on Local LLM for Your Organization. Our Head of Engineering, Daniel Niiaziiev, will join Ross O’Crowley, CEO of OrkidTech, to discuss implementation costs, key challenges, and use cases. You can watch it here
  • The demand for LLM/AI solutions is growing. Many of our clients are looking to automate processes, and we’re helping them achieve that. Have you also automated projects recently? Let’s exchange insights, feel free to reach out via email or Linkedin.
  • Curious about when your business might need a custom AI solution? Our AI/ML expert covers this in our recent publication. Read more.
  • Legacy Code remains a core part of what we do. Many of our most interesting projects began with tackling legacy systems that others wouldn’t. In our latest publication, Ralabs’ head of engineering talks about the Dangers of Legacy Systems in Healthcare and shares very insightful tips.
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👩🏼‍💼 HR Updates

  • Ralabs welcomed four new team members last month.
  • This month’s tech talk, Microservices vs. Monolith Architecture, sparked an engaging discussion. The recording is available in Ukrainian, with automated translation options.

📈 Business Development

  • The long-awaited Legacy Audit Sample Report is now available. This comprehensive guide not only shows you what to expect from Ralabs’ Legacy Audit service, but also showcases how we’ve helped businesses overcome the challenges with real-world case studies. Explore the report.
  • We’ve also launched the open-source AI/ML tools on our website. Take a look, and feel free to share any feedback.
  • Our latest case study showcases how we developed an AI-driven marketing platform for campaign decisioning and predictive analytics. Check it out.

💻 Coding Insights

  • A very insightful guide on using the Chrome DevTools Performance tab to optimize JavaScript performance.
  • Supbase – a browser-based database built on PGlite that allows you to interact with it using natural language, similar to how ChatGPT works.
  • rbspy – New and quite fun Ruby profiler.
  • There’s been a noticeable rise in the development of CLI tools in recent years, after a slowdown from 1995 to 2015. This article looks at why people are revisiting and updating these tools, and why that’s a good thing for developers.
  • Easy to Overlook PostgreSQL Performance Issues in Rails Apps.
  • falafax – a framework for continued-training and fine-tuning of open source LLM using the XLA runtime.
  • SuperIlu/DOjS – a MS-DOS creative coding IDE/platform based on JavaScript.
  • dotUI – everything you need to build your React app.
  • freeCodeCamp/devdocs – offline API doc browser. Comes with a huge selection of documentation: HTML, CSS, HTTP, JavaScript, PostgreSQL, Typescript, React, Markdown — name it and it’s probably there.

🤖 AI Developments

  • OpenAI introduced its new LLM, OpenAI o1, with improved reasoning, statistics, and logic. I’ve tested it myself and had some quite interesting dialogues. While it’s similar to GPT4, it introduces notable distinctions in architecture, prompting capabilities, and performance. Find out more.
  • If you’re interested in AI/LLM architecture and architecture in general, I have a nice read for you – Building A Generative AI Platform.
  • Microsoft is leveraging AI to enhance workplace inclusivity. Read more.

📚 Books and Reading

  • This month, I haven’t had much time to dive into new books, as travel has taken up most of my schedule. But, I’m always looking forward to hearing your recommendations. Feel free to share what’s been on your reading list lately—I’d love to explore them when I get the chance.

💡 Thoughts

  • AI learning to reason is truly a game changer. As we’ve seen with OpenAI’s o1 model, this shift from simple responses to more complex reasoning opens up a whole new level of potential for AI-driven solutions. ChatGPT doesn’t only answer questions anymore, it understands the context and makes decisions that mimic human-like thinking. This advancement will undoubtedly reshape how we approach AI in real-world applications, especially in areas like development and business strategy.

    I believe we’re just scratching the surface of what’s possible with these reasoning capabilities.

🔍 Other Noteworthy Mentions

If you found this update helpful, please feel free to share it with others. My newsletter is also published as a blog on our website – Ralabs Blog. You can now read the previous updates if you want to.

Lastly, as a company with deep Ukrainian roots, we continue to seek your support for Ukraine during these challenging times. Every contribution makes a difference.

Support here.

Stay safe and connected,

Best,
Andrew

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