Digest #25: May 2024

May recap: new write-ups, articles, and other tech insights from Mad Devs

May recap: new tech articles from our blog

Value stream management

Value Stream Management

Explore how PMs drive the value stream efficiency of software development by fostering agile practices and collaboration across hybrid teams.

  • Created: May 23, 2024
  • 6 min read
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Model-based reinnorcement learning

Model-Based Reinforcement Learning

This article will briefly introduce the basic types of machine learning and then examine model-based reinforcement learning in more detail.

  • Created: May 29, 2024
  • 8 min read
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Write-up: Testing web applications with speech and image recognition: implementing fake audio and video inputs

This write-up sheds some light on the toolset we currently have against natural language and video processing web apps, which can help us pass audio/video files as the microphone or webcam live input.


Enji.ai – engineering management platform for stakeholders

Enji landing

We are happy to welcome you to the new Enji.ai website! Enji specializes in helping businesses optimize their operations for maximum profit and efficiency. This unique data-driven solution can revolutionize organizations' operations to save time and money.


Check out our tech glossary to stay up-to-date on three buzzworthy tech and business terms: Even-driven architecrture, Project kickoff meeting and Core competencies

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Use engineering strategy to reduce friction and improve developer experience

Will Larson discusses what problems engineering strategy solves, examples of real engineering strategies, how to rollout engineering strategy, troubleshooting why your strategy rollout isn’t working.

Building at the intersection of machine learning and software engineering

In this episode of the Technology Podcast, David Tan, Ada Leung, and Dave Colls join Scott Shaw and Ken Mugrage to discuss their book Effective Machine Learning Teams. They explain how the book addresses current issues in the field, covering everything from the technical challenges of testing and deployment to the cultural work of building teams that span different disciplines and areas of expertise.