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#learntocode — Public Fediverse posts

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

  1. Okay, I finished a third or fourth rewrite of this basic intro to web APIs from a few years ago.

    stefanbohacek.com/blog/weather

    I might revisit some of the older tutorials as well. Yeah, I know, vibe coding is all the rage these days.

    Still, someone might appreciate this.

    #APIs #WebAPIs #LearnToCode #javascript

  2. Okay, I finished a third or fourth rewrite of this basic intro to web APIs from a few years ago.

    stefanbohacek.com/blog/weather

    I might revisit some of the older tutorials as well. Yeah, I know, vibe coding is all the rage these days.

    Still, someone might appreciate this.

    #APIs #WebAPIs #LearnToCode #javascript

  3. Okay, I finished a third or fourth rewrite of this basic intro to web APIs from a few years ago.

    stefanbohacek.com/blog/weather

    I might revisit some of the older tutorials as well. Yeah, I know, vibe coding is all the rage these days.

    Still, someone might appreciate this.

    #APIs #WebAPIs #LearnToCode #javascript

  4. Okay, I finished a third or fourth rewrite of this basic intro to web APIs from a few years ago.

    stefanbohacek.com/blog/weather

    I might revisit some of the older tutorials as well. Yeah, I know, vibe coding is all the rage these days.

    Still, someone might appreciate this.

    #APIs #WebAPIs #LearnToCode #javascript

  5. Okay, I finished a third or fourth rewrite of this basic intro to web APIs from a few years ago.

    stefanbohacek.com/blog/weather

    I might revisit some of the older tutorials as well. Yeah, I know, vibe coding is all the rage these days.

    Still, someone might appreciate this.

    #APIs #WebAPIs #LearnToCode #javascript

  6. Think coding bootcamps are the only way? 🤔 My new video explores a different path – building projects, leveraging AI, and asking the right questions to level up your skills. Ditch the hype and learn how! Check it out 💻 #CodingBootcamps #LearnToCode #AISolutions

    youtube.com/watch?v=np1HlLcTK7s

  7. Think coding bootcamps are the only way? 🤔 My new video explores a different path – building projects, leveraging AI, and asking the right questions to level up your skills. Ditch the hype and learn how! Check it out 💻 #CodingBootcamps #LearnToCode #AISolutions

    youtube.com/watch?v=np1HlLcTK7s

  8. Think coding bootcamps are the only way? 🤔 My new video explores a different path – building projects, leveraging AI, and asking the right questions to level up your skills. Ditch the hype and learn how! Check it out 💻 #CodingBootcamps #LearnToCode #AISolutions

    youtube.com/watch?v=np1HlLcTK7s

  9. Think coding bootcamps are the only way? 🤔 My new video explores a different path – building projects, leveraging AI, and asking the right questions to level up your skills. Ditch the hype and learn how! Check it out 💻 #CodingBootcamps #LearnToCode #AISolutions

    youtube.com/watch?v=np1HlLcTK7s

  10. Fear and Loathing of AI (Part III): “Learn AI” Is the New “Learn to Code”

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News

    There is a sentence that shows up in every technological cycle right before the disappointment phase begins.

    “Just learn the skill.”

    It sounds empowering. It sounds reasonable. It sounds like personal agency.

    It is also a lie we have been telling people for decades.

    The obedience script

    “Learn to code” was never about opportunity.
    It was about discipline.

    It trained people to accept that:

    • structural failures are personal problems,
    • economic insecurity is an individual moral test,
    • and survival depends on constant retraining at your own expense.

    When the promised jobs didn’t materialize—or paid far less than advertised—the story shifted seamlessly: you didn’t learn the right language, the right framework, the right stack.

    Now the phrase has been updated.

    “Learn AI.”

    Same script. Same pressure. Same outcome.

    Skills don’t collapse — markets do

    Coding did not fail because people were lazy or incapable. It failed because markets flooded, tools commoditized, and labor lost leverage.

    AI will follow the same arc, only faster.

    The moment a skill becomes:

    • widely accessible,
    • easily automated,
    • and expected rather than rewarded,

    it stops being a path to security and becomes a baseline requirement for staying afloat.

    The reward for compliance is not prosperity.
    It is continued participation.

    Training as cost transfer

    Here is what “learn AI” really means in practice:

    • You pay for the courses.
    • You absorb the time cost.
    • You shoulder the career risk.
    • You adapt repeatedly as tools change.
    • You accept lower pay because “AI makes you more efficient.”

    None of that is accidental.

    It is a system designed to push costs downward while extracting value upward.

    The more often you are told to retrain, the clearer it becomes that training itself is the product.

    The illusion of agency

    People are encouraged to believe that mastery equals control.

    But control does not come from skill alone.
    It comes from:

    • ownership,
    • bargaining power,
    • regulation,
    • and collective leverage.

    Without those, skill is just labor dressed up as self-improvement.

    Learning AI may help you keep your job a little longer.
    It will not protect you from the logic of the system deploying it.

    What learning actually means now

    This does not mean you should refuse to learn.

    It means you should learn without illusions.

    Learn AI the way you learn any tool:

    • to reduce friction,
    • to save time,
    • to extend what you already do.

    Do not learn it expecting salvation.
    Do not learn it expecting loyalty from platforms.
    Do not learn it expecting the market to reward you for effort.

    Markets reward leverage, not diligence.

    The quiet truth

    The most dangerous part of “learn AI” is not that it is false.

    It is that it is incomplete.

    It tells people how to adapt, but never who benefits.
    It demands flexibility, but never offers stability.
    It promises relevance, but never guarantees dignity.

    We have seen this cycle before.

    And it did not end with freedom.

    It ended with exhaustion.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AISkills #ArtificialIntelligence #economicPrecarity #futureOfWork #laborEconomics #learnToCode #Occupy25 #platformCapitalism #technologyHype #workforceRetraining #WPSNews
  11. Fear and Loathing of AI (Part III): “Learn AI” Is the New “Learn to Code”

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News

    There is a sentence that shows up in every technological cycle right before the disappointment phase begins.

    “Just learn the skill.”

    It sounds empowering. It sounds reasonable. It sounds like personal agency.

    It is also a lie we have been telling people for decades.

    The obedience script

    “Learn to code” was never about opportunity.
    It was about discipline.

    It trained people to accept that:

    • structural failures are personal problems,
    • economic insecurity is an individual moral test,
    • and survival depends on constant retraining at your own expense.

    When the promised jobs didn’t materialize—or paid far less than advertised—the story shifted seamlessly: you didn’t learn the right language, the right framework, the right stack.

    Now the phrase has been updated.

    “Learn AI.”

    Same script. Same pressure. Same outcome.

    Skills don’t collapse — markets do

    Coding did not fail because people were lazy or incapable. It failed because markets flooded, tools commoditized, and labor lost leverage.

    AI will follow the same arc, only faster.

    The moment a skill becomes:

    • widely accessible,
    • easily automated,
    • and expected rather than rewarded,

    it stops being a path to security and becomes a baseline requirement for staying afloat.

    The reward for compliance is not prosperity.
    It is continued participation.

    Training as cost transfer

    Here is what “learn AI” really means in practice:

    • You pay for the courses.
    • You absorb the time cost.
    • You shoulder the career risk.
    • You adapt repeatedly as tools change.
    • You accept lower pay because “AI makes you more efficient.”

    None of that is accidental.

    It is a system designed to push costs downward while extracting value upward.

    The more often you are told to retrain, the clearer it becomes that training itself is the product.

    The illusion of agency

    People are encouraged to believe that mastery equals control.

    But control does not come from skill alone.
    It comes from:

    • ownership,
    • bargaining power,
    • regulation,
    • and collective leverage.

    Without those, skill is just labor dressed up as self-improvement.

    Learning AI may help you keep your job a little longer.
    It will not protect you from the logic of the system deploying it.

    What learning actually means now

    This does not mean you should refuse to learn.

    It means you should learn without illusions.

    Learn AI the way you learn any tool:

    • to reduce friction,
    • to save time,
    • to extend what you already do.

    Do not learn it expecting salvation.
    Do not learn it expecting loyalty from platforms.
    Do not learn it expecting the market to reward you for effort.

    Markets reward leverage, not diligence.

    The quiet truth

    The most dangerous part of “learn AI” is not that it is false.

    It is that it is incomplete.

    It tells people how to adapt, but never who benefits.
    It demands flexibility, but never offers stability.
    It promises relevance, but never guarantees dignity.

    We have seen this cycle before.

    And it did not end with freedom.

    It ended with exhaustion.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AISkills #ArtificialIntelligence #economicPrecarity #futureOfWork #laborEconomics #learnToCode #Occupy25 #platformCapitalism #technologyHype #workforceRetraining #WPSNews
  12. Fear and Loathing of AI (Part III): “Learn AI” Is the New “Learn to Code”

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News

    There is a sentence that shows up in every technological cycle right before the disappointment phase begins.

    “Just learn the skill.”

    It sounds empowering. It sounds reasonable. It sounds like personal agency.

    It is also a lie we have been telling people for decades.

    The obedience script

    “Learn to code” was never about opportunity.
    It was about discipline.

    It trained people to accept that:

    • structural failures are personal problems,
    • economic insecurity is an individual moral test,
    • and survival depends on constant retraining at your own expense.

    When the promised jobs didn’t materialize—or paid far less than advertised—the story shifted seamlessly: you didn’t learn the right language, the right framework, the right stack.

    Now the phrase has been updated.

    “Learn AI.”

    Same script. Same pressure. Same outcome.

    Skills don’t collapse — markets do

    Coding did not fail because people were lazy or incapable. It failed because markets flooded, tools commoditized, and labor lost leverage.

    AI will follow the same arc, only faster.

    The moment a skill becomes:

    • widely accessible,
    • easily automated,
    • and expected rather than rewarded,

    it stops being a path to security and becomes a baseline requirement for staying afloat.

    The reward for compliance is not prosperity.
    It is continued participation.

    Training as cost transfer

    Here is what “learn AI” really means in practice:

    • You pay for the courses.
    • You absorb the time cost.
    • You shoulder the career risk.
    • You adapt repeatedly as tools change.
    • You accept lower pay because “AI makes you more efficient.”

    None of that is accidental.

    It is a system designed to push costs downward while extracting value upward.

    The more often you are told to retrain, the clearer it becomes that training itself is the product.

    The illusion of agency

    People are encouraged to believe that mastery equals control.

    But control does not come from skill alone.
    It comes from:

    • ownership,
    • bargaining power,
    • regulation,
    • and collective leverage.

    Without those, skill is just labor dressed up as self-improvement.

    Learning AI may help you keep your job a little longer.
    It will not protect you from the logic of the system deploying it.

    What learning actually means now

    This does not mean you should refuse to learn.

    It means you should learn without illusions.

    Learn AI the way you learn any tool:

    • to reduce friction,
    • to save time,
    • to extend what you already do.

    Do not learn it expecting salvation.
    Do not learn it expecting loyalty from platforms.
    Do not learn it expecting the market to reward you for effort.

    Markets reward leverage, not diligence.

    The quiet truth

    The most dangerous part of “learn AI” is not that it is false.

    It is that it is incomplete.

    It tells people how to adapt, but never who benefits.
    It demands flexibility, but never offers stability.
    It promises relevance, but never guarantees dignity.

    We have seen this cycle before.

    And it did not end with freedom.

    It ended with exhaustion.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AISkills #ArtificialIntelligence #economicPrecarity #futureOfWork #laborEconomics #learnToCode #Occupy25 #platformCapitalism #technologyHype #workforceRetraining #WPSNews
  13. Fear and Loathing of AI (Part III): “Learn AI” Is the New “Learn to Code”

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News

    There is a sentence that shows up in every technological cycle right before the disappointment phase begins.

    “Just learn the skill.”

    It sounds empowering. It sounds reasonable. It sounds like personal agency.

    It is also a lie we have been telling people for decades.

    The obedience script

    “Learn to code” was never about opportunity.
    It was about discipline.

    It trained people to accept that:

    • structural failures are personal problems,
    • economic insecurity is an individual moral test,
    • and survival depends on constant retraining at your own expense.

    When the promised jobs didn’t materialize—or paid far less than advertised—the story shifted seamlessly: you didn’t learn the right language, the right framework, the right stack.

    Now the phrase has been updated.

    “Learn AI.”

    Same script. Same pressure. Same outcome.

    Skills don’t collapse — markets do

    Coding did not fail because people were lazy or incapable. It failed because markets flooded, tools commoditized, and labor lost leverage.

    AI will follow the same arc, only faster.

    The moment a skill becomes:

    • widely accessible,
    • easily automated,
    • and expected rather than rewarded,

    it stops being a path to security and becomes a baseline requirement for staying afloat.

    The reward for compliance is not prosperity.
    It is continued participation.

    Training as cost transfer

    Here is what “learn AI” really means in practice:

    • You pay for the courses.
    • You absorb the time cost.
    • You shoulder the career risk.
    • You adapt repeatedly as tools change.
    • You accept lower pay because “AI makes you more efficient.”

    None of that is accidental.

    It is a system designed to push costs downward while extracting value upward.

    The more often you are told to retrain, the clearer it becomes that training itself is the product.

    The illusion of agency

    People are encouraged to believe that mastery equals control.

    But control does not come from skill alone.
    It comes from:

    • ownership,
    • bargaining power,
    • regulation,
    • and collective leverage.

    Without those, skill is just labor dressed up as self-improvement.

    Learning AI may help you keep your job a little longer.
    It will not protect you from the logic of the system deploying it.

    What learning actually means now

    This does not mean you should refuse to learn.

    It means you should learn without illusions.

    Learn AI the way you learn any tool:

    • to reduce friction,
    • to save time,
    • to extend what you already do.

    Do not learn it expecting salvation.
    Do not learn it expecting loyalty from platforms.
    Do not learn it expecting the market to reward you for effort.

    Markets reward leverage, not diligence.

    The quiet truth

    The most dangerous part of “learn AI” is not that it is false.

    It is that it is incomplete.

    It tells people how to adapt, but never who benefits.
    It demands flexibility, but never offers stability.
    It promises relevance, but never guarantees dignity.

    We have seen this cycle before.

    And it did not end with freedom.

    It ended with exhaustion.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AISkills #ArtificialIntelligence #economicPrecarity #futureOfWork #laborEconomics #learnToCode #Occupy25 #platformCapitalism #technologyHype #workforceRetraining #WPSNews
  14. Fear and Loathing of AI (Part III): “Learn AI” Is the New “Learn to Code”

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News

    There is a sentence that shows up in every technological cycle right before the disappointment phase begins.

    “Just learn the skill.”

    It sounds empowering. It sounds reasonable. It sounds like personal agency.

    It is also a lie we have been telling people for decades.

    The obedience script

    “Learn to code” was never about opportunity.
    It was about discipline.

    It trained people to accept that:

    • structural failures are personal problems,
    • economic insecurity is an individual moral test,
    • and survival depends on constant retraining at your own expense.

    When the promised jobs didn’t materialize—or paid far less than advertised—the story shifted seamlessly: you didn’t learn the right language, the right framework, the right stack.

    Now the phrase has been updated.

    “Learn AI.”

    Same script. Same pressure. Same outcome.

    Skills don’t collapse — markets do

    Coding did not fail because people were lazy or incapable. It failed because markets flooded, tools commoditized, and labor lost leverage.

    AI will follow the same arc, only faster.

    The moment a skill becomes:

    • widely accessible,
    • easily automated,
    • and expected rather than rewarded,

    it stops being a path to security and becomes a baseline requirement for staying afloat.

    The reward for compliance is not prosperity.
    It is continued participation.

    Training as cost transfer

    Here is what “learn AI” really means in practice:

    • You pay for the courses.
    • You absorb the time cost.
    • You shoulder the career risk.
    • You adapt repeatedly as tools change.
    • You accept lower pay because “AI makes you more efficient.”

    None of that is accidental.

    It is a system designed to push costs downward while extracting value upward.

    The more often you are told to retrain, the clearer it becomes that training itself is the product.

    The illusion of agency

    People are encouraged to believe that mastery equals control.

    But control does not come from skill alone.
    It comes from:

    • ownership,
    • bargaining power,
    • regulation,
    • and collective leverage.

    Without those, skill is just labor dressed up as self-improvement.

    Learning AI may help you keep your job a little longer.
    It will not protect you from the logic of the system deploying it.

    What learning actually means now

    This does not mean you should refuse to learn.

    It means you should learn without illusions.

    Learn AI the way you learn any tool:

    • to reduce friction,
    • to save time,
    • to extend what you already do.

    Do not learn it expecting salvation.
    Do not learn it expecting loyalty from platforms.
    Do not learn it expecting the market to reward you for effort.

    Markets reward leverage, not diligence.

    The quiet truth

    The most dangerous part of “learn AI” is not that it is false.

    It is that it is incomplete.

    It tells people how to adapt, but never who benefits.
    It demands flexibility, but never offers stability.
    It promises relevance, but never guarantees dignity.

    We have seen this cycle before.

    And it did not end with freedom.

    It ended with exhaustion.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AISkills #ArtificialIntelligence #economicPrecarity #futureOfWork #laborEconomics #learnToCode #Occupy25 #platformCapitalism #technologyHype #workforceRetraining #WPSNews
  15. Man, imagine you were a miner who got laid off, finally learned to code and now AI takes your job but fosil fuel industry is raking in money hand over fist thanks to worldwide corruption, so you go back to mining!

    #internet #work #job #tech #technology #ai #journalism #climate #corruption #oil #epstein #coding #it #mining #world #learntocode #oil #coal

  16. Man, imagine you were a miner who got laid off, finally learned to code and now AI takes your job but fosil fuel industry is raking in money hand over fist thanks to worldwide corruption, so you go back to mining!

    #internet #work #job #tech #technology #ai #journalism #climate #corruption #oil #epstein #coding #it #mining #world #learntocode #oil #coal

  17. Man, imagine you were a miner who got laid off, finally learned to code and now AI takes your job but fosil fuel industry is raking in money hand over fist thanks to worldwide corruption, so you go back to mining!

    #internet #work #job #tech #technology #ai #journalism #climate #corruption #oil #epstein #coding #it #mining #world #learntocode #oil #coal

  18. Man, imagine you were a miner who got laid off, finally learned to code and now AI takes your job but fosil fuel industry is raking in money hand over fist thanks to worldwide corruption, so you go back to mining!

    #internet #work #job #tech #technology #ai #journalism #climate #corruption #oil #epstein #coding #it #mining #world #learntocode #oil #coal

  19. Man, imagine you were a miner who got laid off, finally learned to code and now AI takes your job but fosil fuel industry is raking in money hand over fist thanks to worldwide corruption, so you go back to mining!

    #internet #work #job #tech #technology #ai #journalism #climate #corruption #oil #epstein #coding #it #mining #world #learntocode #oil #coal

  20. 🚀 FREE Python Workshops by FOSSEE, IIT Bombay!

    💻 Hands-on learning
    📜 E-certification
    🎓 For students & faculty

    Colleges can host (min 25 participants)

    🔗 Register: python-workshops.fossee.in

    #Python #FOSSEE #IITBombay #LearnToCode #FreeWorkshop #Students #Coding #LearnPython #PythonIndia #CodingLife #StudentsOfIndia #FreeLearning #TechSkills #CodeNewbie #ProgrammingLife #UpskillYourself #FutureReady #WorkshopAlert #PythonTraining

  21. Now announcing... our 2026 Summer Programs! Sign up today to learn to code through play!

    More information can be found at codebloom.org, or at the link in our bio!

    Please help us to spread the word!

    #LearnToCode #ColumbiaMD #HowardCountyMD

  22. Join @vyruss today, 4/3 at 10 AM EST for a live, hands-on session based on Chapter 2 of his book, "#PostgreSQL Mistakes and How to Avoid Them" hosted on LinkedIn Live. 🐘

    He'll break down common #SQL anti-patterns that lead to incorrect results and hidden performance issues, pairing explanations with live terminal demos.

    You should leave feeling much better equipped to write safer (& faster!) #Postgres queries.

    Register here: linkedin.com/events/7443380201

    #data #tech #learntocode #programming

  23. Join @vyruss today, 4/3 at 10 AM EST for a live, hands-on session based on Chapter 2 of his book, "#PostgreSQL Mistakes and How to Avoid Them" hosted on LinkedIn Live. 🐘

    He'll break down common #SQL anti-patterns that lead to incorrect results and hidden performance issues, pairing explanations with live terminal demos.

    You should leave feeling much better equipped to write safer (& faster!) #Postgres queries.

    Register here: linkedin.com/events/7443380201

    #data #tech #learntocode #programming

  24. Join @vyruss today, 4/3 at 10 AM EST for a live, hands-on session based on Chapter 2 of his book, "#PostgreSQL Mistakes and How to Avoid Them" hosted on LinkedIn Live. 🐘

    He'll break down common #SQL anti-patterns that lead to incorrect results and hidden performance issues, pairing explanations with live terminal demos.

    You should leave feeling much better equipped to write safer (& faster!) #Postgres queries.

    Register here: linkedin.com/events/7443380201

    #data #tech #learntocode #programming

  25. Join @vyruss today, 4/3 at 10 AM EST for a live, hands-on session based on Chapter 2 of his book, "#PostgreSQL Mistakes and How to Avoid Them" hosted on LinkedIn Live. 🐘

    He'll break down common #SQL anti-patterns that lead to incorrect results and hidden performance issues, pairing explanations with live terminal demos.

    You should leave feeling much better equipped to write safer (& faster!) #Postgres queries.

    Register here: linkedin.com/events/7443380201

    #data #tech #learntocode #programming

  26. Join @vyruss today, 4/3 at 10 AM EST for a live, hands-on session based on Chapter 2 of his book, "#PostgreSQL Mistakes and How to Avoid Them" hosted on LinkedIn Live. 🐘

    He'll break down common #SQL anti-patterns that lead to incorrect results and hidden performance issues, pairing explanations with live terminal demos.

    You should leave feeling much better equipped to write safer (& faster!) #Postgres queries.

    Register here: linkedin.com/events/7443380201

    #data #tech #learntocode #programming

  27. Want to learn DevOps engineering from Zambia today? 🇿🇲 In this new post, Jeffrey Mdala shares a practical roadmap: computing fundamentals, Python, Git, Linux, CI/CD, cloud, containers, Kubernetes, monitoring, and security. Read the full guide: aiengineeringzm.blogspot.com/2 #DevOps #LearnToCode #Zambia

  28. Want to learn DevOps engineering from Zambia today? 🇿🇲 In this new post, Jeffrey Mdala shares a practical roadmap: computing fundamentals, Python, Git, Linux, CI/CD, cloud, containers, Kubernetes, monitoring, and security. Read the full guide: aiengineeringzm.blogspot.com/2 #DevOps #LearnToCode #Zambia

  29. As a beginner, should you learn one language or as many as possible?

    Read more here:
    bgh.st/i3512k

    #coding #learntocode

  30. As a beginner, should you learn one language or as many as possible?

    Read more here:
    bgh.st/i3512k

    #coding #learntocode

  31. As a beginner, should you learn one language or as many as possible?

    Read more here:
    bgh.st/i3512k

  32. As a beginner, should you learn one language or as many as possible?

    Read more here:
    bgh.st/i3512k

    #coding #learntocode

  33. As a beginner, should you learn one language or as many as possible?

    Read more here:
    bgh.st/i3512k

    #coding #learntocode