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#transcript — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #transcript, aggregated by home.social.

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  1. Why do so many platform engineering initiatives fail, even in high-performing engineering organizations?

    Chris Richardson explains how to combine #TeamTopologies with #microservices patterns to reduce cognitive load and accelerate delivery speed.

    Learn why platform teams fall into the "infinity pool of technology" and how to build a “Thinnest Viable Platform” (TVP) that genuinely supports stream-aligned teams.

    🎬 Watch now: bit.ly/4clIAsx

    📄 #transcript included

    #SoftwareArchitecture #InfoQ

  2. Why do so many platform engineering initiatives fail, even in high-performing engineering organizations?

    Chris Richardson explains how to combine with patterns to reduce cognitive load and accelerate delivery speed.

    Learn why platform teams fall into the "infinity pool of technology" and how to build a “Thinnest Viable Platform” (TVP) that genuinely supports stream-aligned teams.

    🎬 Watch now: bit.ly/4clIAsx

    📄 included

  3. I don't have time for online debate but if you claim that reviewing someone else's AI generated meeting notes is waste of another person's time - you assumed that the one who generates it didn't review it.

    If you don't have to review their meeting notes before they start using AI instead "hand-typing", you either trust their own proofreading or you never read it to start with.

    That's a role and responsibility issue, not technology.

    #tech #AI #LLM #transcript

  4. How do you build #AIagents that actually make it to production?

    In this #InfoQ #podcast, Clare Liguori explains the philosophy behind the open-source Strands Agents SDK, lessons from building and operating agents at scale, and where model-driven agent architecture is headed next.

    🎧 Listen now: bit.ly/4pxwxOb

    📄 #transcript included

    #AIArchitecture #LLMs #OpenSource

  5. How do you build that actually make it to production?

    In this , Clare Liguori explains the philosophy behind the open-source Strands Agents SDK, lessons from building and operating agents at scale, and where model-driven agent architecture is headed next.

    🎧 Listen now: bit.ly/4pxwxOb

    📄 included

  6. #AIagents are only as strong as the #infrastructure beneath them.

    In this #InfoQ talk, Paul Klein breaks down the architecture behind Browserbase's #MCP and what it takes to support stateful browser automation at scale.

    What you’ll get out of it:
    ➤ Real-world lessons from running parallel agents in production
    ➤ Infrastructure blueprints you can apply today
    ➤ Live demos

    🖥️ Watch now: bit.ly/4vghwTf

    📄 #transcript included

    #AI #DevOps #SoftwareArchitecture

  7. are only as strong as the beneath them.

    In this talk, Paul Klein breaks down the architecture behind Browserbase's and what it takes to support stateful browser automation at scale.

    What you’ll get out of it:
    ➤ Real-world lessons from running parallel agents in production
    ➤ Infrastructure blueprints you can apply today
    ➤ Live demos

    🖥️ Watch now: bit.ly/4vghwTf

    📄 included

  8. Co-creator of Kubernetes & CEO of Stacklok, Craig McLuckie joined the #InfoQ #Podcast to break down a massive shift: how #AICodingTools are reshaping engineering teams & open-source communities.

    🎧 Listen to the full conversation: bit.ly/4a2wy6s

    📝 #transcript included

    #GenerativeAI #OpenSource #SoftwareEngineering #Culture

  9. Co-creator of Kubernetes & CEO of Stacklok, Craig McLuckie joined the to break down a massive shift: how are reshaping engineering teams & open-source communities.

    🎧 Listen to the full conversation: bit.ly/4a2wy6s

    📝 included

  10. Dive deep into #Valkey - the high-performance key/value datastore.

    In this #InfoQ video, Viktor Vedmich explores Valkey’s architecture on AWS and demonstrates how it delivers sub-millisecond data access in both standalone & cluster modes.

    What you'll learn:
    🔹 Core data structures & replication strategies
    🔹 High-availability features
    🔹 Compatibility with Redis

    📺 Watch now: bit.ly/4v1yW5P

    #transcript included

    #Database #AWS

  11. Dive deep into - the high-performance key/value datastore.

    In this video, Viktor Vedmich explores Valkey’s architecture on AWS and demonstrates how it delivers sub-millisecond data access in both standalone & cluster modes.

    What you'll learn:
    🔹 Core data structures & replication strategies
    🔹 High-availability features
    🔹 Compatibility with Redis

    📺 Watch now: bit.ly/4v1yW5P

    included

  12. From Founding Engineer to CTO to CEO

    In this #CaseStudy, Trisha Ballakur shares her journey from writing code to leading an entire company at Pointz.

    Key takeaways:
    ➤ Applying core software engineering skills to executive leadership
    ➤ The mindset shifts and habits that must be unlearned to succeed
    ➤ A practical framework for balancing engineering best practices with the realities of a fast-moving startup

    🔗 Watch now: bit.ly/49pa7bo

    📄 #transcript included

    #Leadership #SoftwareEngineering #CTO #StartupLeadership #EngineeringManagement

  13. From Founding Engineer to CTO to CEO

    In this , Trisha Ballakur shares her journey from writing code to leading an entire company at Pointz.

    Key takeaways:
    ➤ Applying core software engineering skills to executive leadership
    ➤ The mindset shifts and habits that must be unlearned to succeed
    ➤ A practical framework for balancing engineering best practices with the realities of a fast-moving startup

    🔗 Watch now: bit.ly/49pa7bo

    📄 included

  14. Software development is entering a new wave of automation. With over 600+ AI-native dev tools flooding the landscape, the real challenge isn’t the technology itself - it’s the shift in our mental models.

    According to DevOps pioneer Patrick Debois, we are moving toward 4 distinct AI-native development patterns:
    1️⃣ Producer → Manager
    2️⃣ Implementation → Intent
    3️⃣ Delivery → Discovery
    4️⃣ Content → Knowledge

    AI isn’t replacing developers - it is fundamentally reshaping where engineering value is created!

    🎬 Watch the #InfoQ video or read the #transcript here: bit.ly/4uAyonM

    #SoftwareEngineering #DevOps #AINative #GenerativeAI #TechLeadership

  15. Software development is entering a new wave of automation. With over 600+ AI-native dev tools flooding the landscape, the real challenge isn’t the technology itself - it’s the shift in our mental models.

    According to DevOps pioneer Patrick Debois, we are moving toward 4 distinct AI-native development patterns:
    1️⃣ Producer → Manager
    2️⃣ Implementation → Intent
    3️⃣ Delivery → Discovery
    4️⃣ Content → Knowledge

    AI isn’t replacing developers - it is fundamentally reshaping where engineering value is created!

    🎬 Watch the video or read the here: bit.ly/4uAyonM

  16. [Better explainer]
    #Defense: sick to my stomach over this govt's attacks
    #Judge: After reading thousands of grand jury transcripts, was "incredibly shocked" by this #DOJ's
    #Prosecutors to judge: We didn't try to mislead you
    Defense: You heavily redacted the #transcript, concealed banned behavior!
    Judge: #Sanctions may be due
    >At the last moment, DOJ's s'posed to show *unredacted* #GrandJury transcripts, & they drop the #conspiracy charge. Hmm...
    #fascist #USA #Broadview6
    news.wttw.com/2026/05/21/broad

  17. The more advanced your automated systems are, the more critical - and flawed - the human element becomes.

    In this #InfoQ video, J. Paul Reed breaks down the "Ironies of Automation" - and how modern AI creates dangerous new traps for software operators (i.e., you), especially during high-consequence, high-tempo situations (aka incidents).

    📺 Watch now: bit.ly/4uqOD6j

    📄 #transcript included

    #DevOps #AI #IncidentResponse #Automation

  18. The more advanced your automated systems are, the more critical - and flawed - the human element becomes.

    In this video, J. Paul Reed breaks down the "Ironies of Automation" - and how modern AI creates dangerous new traps for software operators (i.e., you), especially during high-consequence, high-tempo situations (aka incidents).

    📺 Watch now: bit.ly/4uqOD6j

    📄 included

  19. Want to level up your engineering career? Adopt a Product Thinking mindset!

    Learn how product management principles can help your engineering team deliver more impactful results, build empathy for users, and take greater ownership of what you build.

    🎬 Watch the #InfoQ video by Stéphane Di Cesare & Cat Morris ⇨ bit.ly/4eUWnZp

    📄 #transcript included

    #Culture #ProjectManagement #Agile #SoftwareDevelopment

  20. Want to level up your engineering career? Adopt a Product Thinking mindset!

    Learn how product management principles can help your engineering team deliver more impactful results, build empathy for users, and take greater ownership of what you build.

    🎬 Watch the video by Stéphane Di Cesare & Cat Morris ⇨ bit.ly/4eUWnZp

    📄 included

  21. #SoftwareSpecifications can now serve as a dynamic source of truth, as LLM-based reasoning agents become better at interpreting human ambiguity.

    The catch? #LLMs are stochastic and must be constrained.

    Enter #ContextEngineering - a structured discipline focused on providing clear intent and missing instructions to AI models.

    It relies heavily on context artifacts, including: ⇨ Skills ⇨ Rules ⇨ Scripts ⇨ Feedback loops ⇨ Evaluation metrics

    🎧 Hear more insights on the #InfoQ #podcast with Baruch Sadogursky: bit.ly/49dArFj

    📄 #transcript included

    #SoftwareArchitecture #SpecDrivenDevelopment #Testing #AI #SoftwareEngineering

  22. can now serve as a dynamic source of truth, as LLM-based reasoning agents become better at interpreting human ambiguity.

    The catch? are stochastic and must be constrained.

    Enter - a structured discipline focused on providing clear intent and missing instructions to AI models.

    It relies heavily on context artifacts, including: ⇨ Skills ⇨ Rules ⇨ Scripts ⇨ Feedback loops ⇨ Evaluation metrics

    🎧 Hear more insights on the with Baruch Sadogursky: bit.ly/49dArFj

    📄 included

  23. #transcript Trump Rages Wildly at Journ. and Exposes Big #iran Blunder
    As Trump’s tirade reveals his biggest Iran mistake of all, a #political scientist explains how his #pathologies undermine him abroad—and why his international failures are producing worsening #autocracy

    newrepublic.com/article/210551

  24. #transcript Trump Rages Wildly at Journ. and Exposes Big #iran Blunder
    As Trump’s tirade reveals his biggest Iran mistake of all, a #political scientist explains how his #pathologies undermine him abroad—and why his international failures are producing worsening #autocracy

    newrepublic.com/article/210551

  25. How do we bring the joy back to #SoftwareDevelopment in the #AIEra?

    In this #InfoQ #podcast, Michael Parker explores “The AI Joy Gap” - why some developers are thriving while others are burning out.

    He dives into:
    ➡️ The “Factory Architect”: orchestrating AI agents instead of writing code directly
    ➡️ Hype vs. Reality: the cultural divide between AI optimism and the reality of wrestling with legacy codebases

    🎧 Listen now: bit.ly/4dAopXL

    📄 #transcript included

    #SoftwareDevelopment #AIagents #EngineeringCulture

  26. How do we bring the joy back to in the ?

    In this , Michael Parker explores “The AI Joy Gap” - why some developers are thriving while others are burning out.

    He dives into:
    ➡️ The “Factory Architect”: orchestrating AI agents instead of writing code directly
    ➡️ Hype vs. Reality: the cultural divide between AI optimism and the reality of wrestling with legacy codebases

    🎧 Listen now: bit.ly/4dAopXL

    📄 included

  27. #transcript : a written version of spoken words

    - French: retranscrire

    - German: die Abschrift

    - Italian: trascritto

    - Portuguese: transcrição

    - Spanish: transcrito

    ------------

    Fill in missing or incorrect translations @ wordofthehour.org/r/translatio

  28. #transcript : a written version of spoken words

    - French: retranscrire

    - German: die Abschrift

    - Italian: trascritto

    - Portuguese: transcrição

    - Spanish: transcrito

    ------------

    Fill in missing or incorrect translations @ wordofthehour.org/r/translatio

  29. @Roknrol Well, I'm kind of afraid of being sanctioned for alt-texts that lack text transcripts, even if the additional long image description in the post text contains them. I mean, the rule says that text must always be transcribed, and the transcripts must always go into the alt-text. That, and not everyone may want to wade through a long description of 20,000 to 60,000 characters to read the transcripts.

    Also, I go as far as transcribing more than 20 individual bits of text within one image, only two of which are actually halfway readable at the given resolution. About a dozen of these bits of text can be found in an area that's five pixels tall and a dozen pixels wide in the image. The individual bits of text are so tiny at this resolution that they're invisible in the image. And yet, I transcribe them because, technically, they're still within the borders of the image.

    But as long as you don't say I could and should try harder...

    #Long #LongPost #CWLong #CWLongPost #FediMeta #FediverseMeta #CWFediMeta #CWFediverseMeta #AltText #AltTextMeta #CWAltTextMeta #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #Transcript #Transcripts
  30. @Roknrol Well, I'm kind of afraid of being sanctioned for alt-texts that lack text transcripts, even if the additional long image description in the post text contains them. I mean, the rule says that text must always be transcribed, and the transcripts must always go into the alt-text. That, and not everyone may want to wade through a long description of 20,000 to 60,000 characters to read the transcripts.

    Also, I go as far as transcribing more than 20 individual bits of text within one image, only two of which are actually halfway readable at the given resolution. About a dozen of these bits of text can be found in an area that's five pixels tall and a dozen pixels wide in the image. The individual bits of text are so tiny at this resolution that they're invisible in the image. And yet, I transcribe them because, technically, they're still within the borders of the image.

    But as long as you don't say I could and should try harder...

    #Long #LongPost #CWLong #CWLongPost #FediMeta #FediverseMeta #CWFediMeta #CWFediverseMeta #AltText #AltTextMeta #CWAltTextMeta #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #Transcript #Transcripts
  31. @Roknrol I don't post social media app screenshots.

    When I post memes, I only transcribe the pieces of text that are important within the context, but I do transcribe all of them.

    I hope it's okay to leave out bits of text that don't matter in this case.

    On the other hand, when I post original images, I transcribe every last bit of text within the borders of the image that I can read at the source, regardless of whether it's readable in the image at the resolution at which I'm going to post it.

    I hope that's okay, too. And I hope it's okay that these transcripts only go into the long image description in the post text and not into the alt-text where there isn't enough space for them.

    Also, I've yet to find a way to correctly transcribe things like text in other languages or text in multiple languages or misspellings, seeing as text must normally be transcribed 100% verbatim.

    And I wonder if I can get away with deviating from transcribing 100% verbatim in the cases of all caps, misspellings, multiple paragraphs, quotation marks in the transcribed text and the like.

    #Long #LongPost #CWLong #CWLongPost #AltText #AltTextMeta #CWAltTextMeta #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #Transcript #Transcripts
  32. @Roknrol I don't post social media app screenshots.

    When I post memes, I only transcribe the pieces of text that are important within the context, but I do transcribe all of them.

    I hope it's okay to leave out bits of text that don't matter in this case.

    On the other hand, when I post original images, I transcribe every last bit of text within the borders of the image that I can read at the source, regardless of whether it's readable in the image at the resolution at which I'm going to post it.

    I hope that's okay, too. And I hope it's okay that these transcripts only go into the long image description in the post text and not into the alt-text where there isn't enough space for them.

    Also, I've yet to find a way to correctly transcribe things like text in other languages or text in multiple languages or misspellings, seeing as text must normally be transcribed 100% verbatim.

    And I wonder if I can get away with deviating from transcribing 100% verbatim in the cases of all caps, misspellings, multiple paragraphs, quotation marks in the transcribed text and the like.

    #Long #LongPost #CWLong #CWLongPost #AltText #AltTextMeta #CWAltTextMeta #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #Transcript #Transcripts
  33. #CaseStudy: Moving from a simple chatbot ⇨ a network of specialized agent swarms

    In this InfoQ video, Paulo Arruda goes behind the scenes of #Shopify’s AI evolution - the “messy reality” of building & shipping agentic systems at scale.

    What’s inside:
    • Key design decisions
    • Unexpected failures
    • Practical lessons from real-world adoption of multi-agent architectures

    🎬 Watch now: bit.ly/493n7mR

    📄 #transcript included

    #AI #AIagents

  34. : Moving from a simple chatbot ⇨ a network of specialized agent swarms

    In this InfoQ video, Paulo Arruda goes behind the scenes of ’s AI evolution - the “messy reality” of building & shipping agentic systems at scale.

    What’s inside:
    • Key design decisions
    • Unexpected failures
    • Practical lessons from real-world adoption of multi-agent architectures

    🎬 Watch now: bit.ly/493n7mR

    📄 included

  35. In this #InfoQ #podcast, Adam Bien highlights the importance of consistently using standards - whether in Java or established patterns.

    He explains how this approach helped future-proof the systems he built, making them adaptable for both the cloud era & the AI-native era.

    🎧 Listen now: bit.ly/49w4QP5

    📄 #transcript included

    #Java #SoftwareDevelopment #CloudComputing #AI

  36. In this , Adam Bien highlights the importance of consistently using standards - whether in Java or established patterns.

    He explains how this approach helped future-proof the systems he built, making them adaptable for both the cloud era & the AI-native era.

    🎧 Listen now: bit.ly/49w4QP5

    📄 included

  37. #ClaudeCode is built to maximize AI development velocity.

    People often look for hidden complexity or secret architecture in AI tools. The reality is far more disciplined:
    • Async generators
    • Well-typed interfaces
    • Simple orchestration patterns

    The real innovation was deliberately choosing simplicity to move faster.

    In this #InfoQ video, Adam Wolff explores the architectural decisions that prioritize speed over complexity - and how this velocity-first approach leads to process–product convergence, where internal workflows evolve into user-facing capabilities.

    🎬 Watch now: bit.ly/3RwBgTm

    📄 #transcript included

    #AI

  38. is built to maximize AI development velocity.

    People often look for hidden complexity or secret architecture in AI tools. The reality is far more disciplined:
    • Async generators
    • Well-typed interfaces
    • Simple orchestration patterns

    The real innovation was deliberately choosing simplicity to move faster.

    In this video, Adam Wolff explores the architectural decisions that prioritize speed over complexity - and how this velocity-first approach leads to process–product convergence, where internal workflows evolve into user-facing capabilities.

    🎬 Watch now: bit.ly/3RwBgTm

    📄 included

  39. In tech, we know how to scale systems. But scaling humans? Well … that’s another story.

    Even with the right tools and processes, technical teams often struggle to scale behaviorally & culturally.

    In this #InfoQ video, Charlotte de Jong Schouwenburg explores why behavioral and cultural scaling is harder than technical scaling - and what leaders and teams can do about it.

    🎬 Watch now: bit.ly/4uw8ctk

    📄 #transcript included

    #Teamwork #Performance #Scalability #Agile

  40. In tech, we know how to scale systems. But scaling humans? Well … that’s another story.

    Even with the right tools and processes, technical teams often struggle to scale behaviorally & culturally.

    In this video, Charlotte de Jong Schouwenburg explores why behavioral and cultural scaling is harder than technical scaling - and what leaders and teams can do about it.

    🎬 Watch now: bit.ly/4uw8ctk

    📄 included

  41. In this #InfoQ #podcast, Andy Damevin (long-time Quarkus contributor) explores #Roq - a static site generator built on top of #Quarkus.

    He covers:
    • The motivation behind the project
    • Why Java & Quarkus were chosen
    • Migration to Roq
    • Its future direction

    🎧 Listen now: bit.ly/4n6MiKQ
    📄 #transcript included

    #Java #SoftwareDevelopment

  42. In this , Andy Damevin (long-time Quarkus contributor) explores - a static site generator built on top of .

    He covers:
    • The motivation behind the project
    • Why Java & Quarkus were chosen
    • Migration to Roq
    • Its future direction

    🎧 Listen now: bit.ly/4n6MiKQ
    📄 included

  43. This is Tim (and John and Kevin): Transcript of Apple’s Q2 2026 financial call
    atlas.whatip.xyz/post.php?slug
    Key insight: <p>Every quarter after releasing financial results
    #transcript #financial #quarter #apple

  44. In this #InfoQ #podcast, Jaromir Hamala (QuestDB) explains how developers can approach high-performance software development.

    Highlights:
    • Using modern Java to write idiomatic code while remaining “mechanically sympathetic”
    • His experience debugging a Linux kernel bug

    🎧 Listen now: bit.ly/4eQwNVh

    📄 #transcript included

    #Java #Linux #Performance #SoftwareEngineering

  45. In this , Jaromir Hamala (QuestDB) explains how developers can approach high-performance software development.

    Highlights:
    • Using modern Java to write idiomatic code while remaining “mechanically sympathetic”
    • His experience debugging a Linux kernel bug

    🎧 Listen now: bit.ly/4eQwNVh

    📄 included

  46. In this #InfoQ #podcast, Matthew Liste talks about the art of building & managing software platforms.

    Platform services are the foundation of modern dev, but to succeed, they must master the "3 Ss":
    ✅ Stable
    ✅ Secure
    ✅ Scalable

    Discover why scaling often breaks due to resource contention and how to avoid it.

    🎧 Listen now: bit.ly/4eE0XLe

    #transcript included

    #SoftwareArchitecture #AIarchitecture

  47. #EventDrivenArchitecture promises scalability, traceability, and resilience—but in a regulated, cloud-native banking environment it also introduces real challenges.

    In this #InfoQ video, Chris Tacey-Green explains the key #patterns used to build a real-time payment system in Azure, including inbox patterns, event sourcing, idempotency, and observability.

    🎬 Watch now: bit.ly/41NZqLe

    📄 #transcript included

    #SoftwareArchitecture

  48. “𝑊𝑒 𝑐𝑜𝑢𝑙𝑑 ℎ𝑎𝑣𝑒 𝑐𝑎𝑙𝑙𝑒𝑑 𝑡ℎ𝑖𝑠 𝑡𝑎𝑙𝑘 ‘𝐻𝑜𝑤 𝑤𝑒 𝑑𝑜𝑢𝑏𝑙𝑒𝑑 #𝐸𝑛𝑔𝑖𝑛𝑒𝑒𝑟𝑖𝑛𝑔𝑃𝑟𝑜𝑑𝑢𝑐𝑡𝑖𝑣𝑖𝑡𝑦 𝑎𝑡 𝑒𝐵𝑎𝑦’ - 𝑤ℎ𝑖𝑐ℎ 𝑤𝑒 𝑑𝑖𝑑 - 𝑏𝑢𝑡 𝑤𝑒 𝑠𝑡𝑖𝑙𝑙 𝑑𝑖𝑑𝑛’𝑡 𝑠𝑎𝑣𝑒 𝑡ℎ𝑒 𝑐𝑜𝑚𝑝𝑎𝑛𝑦. 𝑇ℎ𝑒𝑛 𝐼'𝑚 𝑔𝑜𝑖𝑛𝑔 𝑡𝑜 𝑡𝑒𝑙𝑙 𝑦𝑜𝑢 ℎ𝑜𝑤 𝐼 𝑔𝑜𝑡 𝑓𝑖𝑟𝑒𝑑 𝑓𝑜𝑟 𝑖𝑡”.

    In this #InfoQ video, Randy Shoup breaks down the “Middle-Out” strategy behind the transformation and the brutal reality of the Innovator’s Dilemma:

    🏆 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐞𝐱𝐜𝐞𝐥𝐥𝐞𝐧𝐜𝐞 𝐚𝐥𝐨𝐧𝐞 𝐜𝐚𝐧’𝐭 𝐬𝐚𝐯𝐞 𝐚 𝐜𝐨𝐦𝐩𝐚𝐧𝐲 𝐢𝐟 𝐭𝐡𝐞 𝐜𝐮𝐥𝐭𝐮𝐫𝐞 & 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐨𝐧’𝐭 𝐜𝐡𝐚𝐧𝐠𝐞!

    🎬 Watch now: bit.ly/481Up5i

    📄 #transcript included

    #SoftwareEngineering #DevOps #EngineeringLeadership #CaseStudy #DORA