#failfast — Public Fediverse posts

Why Companies Benefit from Recognizing Failure Early and Redirecting Resources

📰 Original title: Perseverance doesn't always pay off for companies – sometimes it's better to 'fail fast'

🤖 IA: It's not clickbait ✅
👥 Usuarios: It's not clickbait ✅

View full AI summary: https://killbait.com/en/why-companies-benefit-from-recognizing-failure-early-and-redirecting-resources/?redirpost=c659a5b9-d347-4757-b27d-9af8b267f655

#business #failfast #businessstrategy #decisionmaking

Why Companies Benefit from Recognizing Failure Early and Redirecting Resources

📰 Original title: Perseverance doesn't always pay off for companies – sometimes it's better to 'fail fast'

🤖 IA: It's not clickbait ✅
👥 Usuarios: It's not clickbait ✅

View full AI summary: https://killbait.com/en/why-companies-benefit-from-recognizing-failure-early-and-redirecting-resources/?redirpost=c659a5b9-d347-4757-b27d-9af8b267f655

#business #failfast #businessstrategy #decisionmaking

Why Companies Benefit from Recognizing Failure Early and Redirecting Resources

📰 Original title: Perseverance doesn't always pay off for companies – sometimes it's better to 'fail fast'

🤖 IA: It's not clickbait ✅
👥 Usuarios: It's not clickbait ✅

View full AI summary: https://killbait.com/en/why-companies-benefit-from-recognizing-failure-early-and-redirecting-resources/?redirpost=c659a5b9-d347-4757-b27d-9af8b267f655

#business #failfast #businessstrategy #decisionmaking

Why Companies Benefit from Recognizing Failure Early and Redirecting Resources

📰 Original title: Perseverance doesn't always pay off for companies – sometimes it's better to 'fail fast'

🤖 IA: It's not clickbait ✅
👥 Usuarios: It's not clickbait ✅

View full AI summary: https://killbait.com/en/why-companies-benefit-from-recognizing-failure-early-and-redirecting-resources/?redirpost=c659a5b9-d347-4757-b27d-9af8b267f655

#business #failfast #businessstrategy #decisionmaking

Post-OOP Imperative Functional Java.
Model the process. Not the domain.

Most Java code still asks the wrong question:
"What is this domain object?"
But production systems fail, scale, and burn because of processes, not nouns.

If your system is a sequence of irreversible steps, model it as a sequence,
not as interacting objects pretending to be immortal.

This follows ideas from Railway-Oriented Programming (ROP):
errors and decisions are values, not control-flow side effects.

Modeling the process means you can read this top to bottom
and understand exactly what happens.
No debugger. No IDE magic. No tribal knowledge.

Control flow is explicit.
You see the execution order.
Nothing hides in constructors, annotations, or overrides.

Failure is a first-class concept.
Once it fails or decides early, nothing else runs.
No exception archaeology.

Processes > Objects.
Real systems are workflows where refactoring is safe.

Steps are reordered, removed, or replaced
without collapsing a class hierarchy.
Testing is trivial, small stepwise context — even for an AI.

Feed input. Assert final result.
No mocking five layers of indirection.

GraalVM / native-friendly.
No reflection rituals.
The compiler smiles.

Objects are great for long-lived entities.
User actions, payments, rules, and failures are short-lived processes.

I model what happens,
not what pretends to exist forever.

Influenced by:
Railway-Oriented Programming,
Functional Core / Imperative Shell,
Workflow / Saga patterns,
Command pipelines,
Unix philosophy,
and value-oriented libraries like Vanilla-DI.

Don't be stuck in axioms.

#PostOOP
#ImperativeFunctional
#ProcessOverObjects
#ModelTheProcess
#WorkflowFirst
#RailwayOrientedProgramming
#FunctionalCore
#ImperativeShell
#CommandPipeline
#ExplicitControlFlow
#ValueOrientedDesign
#ProcessModeling
#FailFast
#NoExceptionArchaeology
#ComposableSystems
#NativeFriendly
#GraalVM
#NoReflection
#DeterministicCode
#RefactorSafe
#SagaPattern
#UnixPhilosophy
#VanillaDI
#ModernJava
#ArchitectureMatters

Post-OOP Imperative Functional Java.
Model the process. Not the domain.

Most Java code still asks the wrong question:
"What is this domain object?"
But production systems fail, scale, and burn because of processes, not nouns.

If your system is a sequence of irreversible steps, model it as a sequence,
not as interacting objects pretending to be immortal.

This follows ideas from Railway-Oriented Programming (ROP):
errors and decisions are values, not control-flow side effects.

Modeling the process means you can read this top to bottom
and understand exactly what happens.
No debugger. No IDE magic. No tribal knowledge.

Control flow is explicit.
You see the execution order.
Nothing hides in constructors, annotations, or overrides.

Failure is a first-class concept.
Once it fails or decides early, nothing else runs.
No exception archaeology.

Processes > Objects.
Real systems are workflows where refactoring is safe.

Steps are reordered, removed, or replaced
without collapsing a class hierarchy.
Testing is trivial, small stepwise context — even for an AI.

Feed input. Assert final result.
No mocking five layers of indirection.

GraalVM / native-friendly.
No reflection rituals.
The compiler smiles.

Objects are great for long-lived entities.
User actions, payments, rules, and failures are short-lived processes.

I model what happens,
not what pretends to exist forever.

Influenced by:
Railway-Oriented Programming,
Functional Core / Imperative Shell,
Workflow / Saga patterns,
Command pipelines,
Unix philosophy,
and value-oriented libraries like Vanilla-DI.

Don't be stuck in axioms.

#PostOOP
#ImperativeFunctional
#ProcessOverObjects
#ModelTheProcess
#WorkflowFirst
#RailwayOrientedProgramming
#FunctionalCore
#ImperativeShell
#CommandPipeline
#ExplicitControlFlow
#ValueOrientedDesign
#ProcessModeling
#FailFast
#NoExceptionArchaeology
#ComposableSystems
#NativeFriendly
#GraalVM
#NoReflection
#DeterministicCode
#RefactorSafe
#SagaPattern
#UnixPhilosophy
#VanillaDI
#ModernJava
#ArchitectureMatters

Post-OOP Imperative Functional Java.
Model the process. Not the domain.

Most Java code still asks the wrong question:
"What is this domain object?"
But production systems fail, scale, and burn because of processes, not nouns.

If your system is a sequence of irreversible steps, model it as a sequence,
not as interacting objects pretending to be immortal.

This follows ideas from Railway-Oriented Programming (ROP):
errors and decisions are values, not control-flow side effects.

Modeling the process means you can read this top to bottom
and understand exactly what happens.
No debugger. No IDE magic. No tribal knowledge.

Control flow is explicit.
You see the execution order.
Nothing hides in constructors, annotations, or overrides.

Failure is a first-class concept.
Once it fails or decides early, nothing else runs.
No exception archaeology.

Processes > Objects.
Real systems are workflows where refactoring is safe.

Steps are reordered, removed, or replaced
without collapsing a class hierarchy.
Testing is trivial, small stepwise context — even for an AI.

Feed input. Assert final result.
No mocking five layers of indirection.

GraalVM / native-friendly.
No reflection rituals.
The compiler smiles.

Objects are great for long-lived entities.
User actions, payments, rules, and failures are short-lived processes.

I model what happens,
not what pretends to exist forever.

Influenced by:
Railway-Oriented Programming,
Functional Core / Imperative Shell,
Workflow / Saga patterns,
Command pipelines,
Unix philosophy,
and value-oriented libraries like Vanilla-DI.

Don't be stuck in axioms.

#PostOOP
#ImperativeFunctional
#ProcessOverObjects
#ModelTheProcess
#WorkflowFirst
#RailwayOrientedProgramming
#FunctionalCore
#ImperativeShell
#CommandPipeline
#ExplicitControlFlow
#ValueOrientedDesign
#ProcessModeling
#FailFast
#NoExceptionArchaeology
#ComposableSystems
#NativeFriendly
#GraalVM
#NoReflection
#DeterministicCode
#RefactorSafe
#SagaPattern
#UnixPhilosophy
#VanillaDI
#ModernJava
#ArchitectureMatters

Post-OOP Imperative Functional Java.
Model the process. Not the domain.

Most Java code still asks the wrong question:
"What is this domain object?"
But production systems fail, scale, and burn because of processes, not nouns.

If your system is a sequence of irreversible steps, model it as a sequence,
not as interacting objects pretending to be immortal.

This follows ideas from Railway-Oriented Programming (ROP):
errors and decisions are values, not control-flow side effects.

Modeling the process means you can read this top to bottom
and understand exactly what happens.
No debugger. No IDE magic. No tribal knowledge.

Control flow is explicit.
You see the execution order.
Nothing hides in constructors, annotations, or overrides.

Failure is a first-class concept.
Once it fails or decides early, nothing else runs.
No exception archaeology.

Processes > Objects.
Real systems are workflows where refactoring is safe.

Steps are reordered, removed, or replaced
without collapsing a class hierarchy.
Testing is trivial, small stepwise context — even for an AI.

Feed input. Assert final result.
No mocking five layers of indirection.

GraalVM / native-friendly.
No reflection rituals.
The compiler smiles.

Objects are great for long-lived entities.
User actions, payments, rules, and failures are short-lived processes.

I model what happens,
not what pretends to exist forever.

Influenced by:
Railway-Oriented Programming,
Functional Core / Imperative Shell,
Workflow / Saga patterns,
Command pipelines,
Unix philosophy,
and value-oriented libraries like Vanilla-DI.

Don't be stuck in axioms.

#PostOOP
#ImperativeFunctional
#ProcessOverObjects
#ModelTheProcess
#WorkflowFirst
#RailwayOrientedProgramming
#FunctionalCore
#ImperativeShell
#CommandPipeline
#ExplicitControlFlow
#ValueOrientedDesign
#ProcessModeling
#FailFast
#NoExceptionArchaeology
#ComposableSystems
#NativeFriendly
#GraalVM
#NoReflection
#DeterministicCode
#RefactorSafe
#SagaPattern
#UnixPhilosophy
#VanillaDI
#ModernJava
#ArchitectureMatters

Post-OOP Imperative Functional Java.
Model the process. Not the domain.

Most Java code still asks the wrong question:
"What is this domain object?"
But production systems fail, scale, and burn because of processes, not nouns.

If your system is a sequence of irreversible steps, model it as a sequence,
not as interacting objects pretending to be immortal.

This follows ideas from Railway-Oriented Programming (ROP):
errors and decisions are values, not control-flow side effects.

Modeling the process means you can read this top to bottom
and understand exactly what happens.
No debugger. No IDE magic. No tribal knowledge.

Control flow is explicit.
You see the execution order.
Nothing hides in constructors, annotations, or overrides.

Failure is a first-class concept.
Once it fails or decides early, nothing else runs.
No exception archaeology.

Processes > Objects.
Real systems are workflows where refactoring is safe.

Steps are reordered, removed, or replaced
without collapsing a class hierarchy.
Testing is trivial, small stepwise context — even for an AI.

Feed input. Assert final result.
No mocking five layers of indirection.

GraalVM / native-friendly.
No reflection rituals.
The compiler smiles.

Objects are great for long-lived entities.
User actions, payments, rules, and failures are short-lived processes.

I model what happens,
not what pretends to exist forever.

Influenced by:
Railway-Oriented Programming,
Functional Core / Imperative Shell,
Workflow / Saga patterns,
Command pipelines,
Unix philosophy,
and value-oriented libraries like Vanilla-DI.

Don't be stuck in axioms.

#PostOOP
#ImperativeFunctional
#ProcessOverObjects
#ModelTheProcess
#WorkflowFirst
#RailwayOrientedProgramming
#FunctionalCore
#ImperativeShell
#CommandPipeline
#ExplicitControlFlow
#ValueOrientedDesign
#ProcessModeling
#FailFast
#NoExceptionArchaeology
#ComposableSystems
#NativeFriendly
#GraalVM
#NoReflection
#DeterministicCode
#RefactorSafe
#SagaPattern
#UnixPhilosophy
#VanillaDI
#ModernJava
#ArchitectureMatters

Wenn du gerade erst mit dem Programmieren in Java startest, wirst du relativ schnell über einen Begriff stolpern: "Fail Fast". Klingt erstmal nach einem fancy Buzzword, steckt aber etwas sehr Handfestes dahinter: Der Code soll möglichst früh, möglichst klar und möglichst laut kaputtgehen, wenn

https://magicmarcy.de/fail-fast-statt-spaet-kaputt

#Fail #Exception #Java #Vorbedingungen #IllegalArgumentException #FailFast #Programming

Wenn du gerade erst mit dem Programmieren in Java startest, wirst du relativ schnell über einen Begriff stolpern: "Fail Fast". Klingt erstmal nach einem fancy Buzzword, steckt aber etwas sehr Handfestes dahinter: Der Code soll möglichst früh, möglichst klar und möglichst laut kaputtgehen, wenn

https://magicmarcy.de/fail-fast-statt-spaet-kaputt

#Fail #Exception #Java #Vorbedingungen #IllegalArgumentException #FailFast #Programming

Wenn du gerade erst mit dem Programmieren in Java startest, wirst du relativ schnell über einen Begriff stolpern: "Fail Fast". Klingt erstmal nach einem fancy Buzzword, steckt aber etwas sehr Handfestes dahinter: Der Code soll möglichst früh, möglichst klar und möglichst laut kaputtgehen, wenn

https://magicmarcy.de/fail-fast-statt-spaet-kaputt

#Fail #Exception #Java #Vorbedingungen #IllegalArgumentException #FailFast #Programming

Wenn du gerade erst mit dem Programmieren in Java startest, wirst du relativ schnell über einen Begriff stolpern: "Fail Fast". Klingt erstmal nach einem fancy Buzzword, steckt aber etwas sehr Handfestes dahinter: Der Code soll möglichst früh, möglichst klar und möglichst laut kaputtgehen, wenn

https://magicmarcy.de/fail-fast-statt-spaet-kaputt

#Fail #Exception #Java #Vorbedingungen #IllegalArgumentException #FailFast #Programming

Wenn du gerade erst mit dem Programmieren in Java startest, wirst du relativ schnell über einen Begriff stolpern: "Fail Fast". Klingt erstmal nach einem fancy Buzzword, steckt aber etwas sehr Handfestes dahinter: Der Code soll möglichst früh, möglichst klar und möglichst laut kaputtgehen, wenn

https://magicmarcy.de/fail-fast-statt-spaet-kaputt

#Fail #Exception #Java #Vorbedingungen #IllegalArgumentException #FailFast #Programming

Các sai lầm khi ra mắt sản phẩm nên tránh: 1. Không nhắm đến ý tưởng quá đặc biệt, 2. Tránh hoàn thiện quá mức, 3. Không chỉ dựa vào bình luận xã hội để PR, 4. Không trông chờ tăng trưởng nhanh, 5. Tìm đồng đội hỗ trợ, 6. Dứt khoát từ bỏ ý tưởng không hiệu quả. Bài học từ kinh nghiệm: "Đừng tự lừa mình" và "Hành động thử sai để tiến bộ". #KinhNghiem #Startup #LuoiKien #ProductLaunch #FailFast #BusinessTips

https://www.reddit.com/r/SideProject/comments/1qsyo5f/guide_how_not_to_launch_products_an

Khởi nghiệp thất bại dù đạt top 2.6% khi ra mắt trên Product Hunt 🚀
Từ 500 lượt xem, 40 dùng thử nhưng chỉ 2 khách trả tiền. Nguyên nhân: sản phẩm AI điều khiển màn hình khiến người dùng lo ngại bảo mật.

Bài học: Đừng mất 2 tháng để validate ý tưởng! Hãy test nhanh qua MVP hoặc danh sách chờ trước khi build.

Bạn sẽ pivot hay sửa tiếp?
#Startup #KhởiNghiệp #FailFast #AI #BàiHọcKinhDoanh #ProductValidation

https://www.reddit.com/r/SaaS/comments/1qozlzc/i_got_top_26_on_my_launch_but_my

Thất bại 3 dự án bên lề, nhưng học được vô giá: 1) Trò chuyện với 20 người dùng tiềm năng TRƯỚC khi viết code; 2) Tính phí từ ngày đầu – dù chỉ 1 USD; 3) Chọn vấn đề nhàm chán nhưng thực tế, không chọn ý tưởng “ngầu” để được chia sẻ; 4) Ra mắt nhanh và xấu hơn là hoàn hảo nhưng không bao giờ xong. Dự án #4 đang đi đúng hướng. Thất bại nhanh để thành công sớm. #SideProject #LeanStartup #FailFast #KhởiNghiệp #HọcTừThấtBại #ProductDevelopment #StartupLessons

https://www.reddit.com/r/SideProject/co

**Tôi đã thất bại ở nhiều thứ trước khi phát hành SaaS đầu tiên!**
Bắt đầu từ 20/8/2024, từ 'trading coin' đến dropshipping 12 shop đều cháy tiền (lỗ ~2000$). 7 lần bị Facebook khóa tài khoản khiến dự án dừng lại. Sau đó tập trung vào lập trình, xây SaaS nhưng lại vung tay vì ko marketing. Rốt cuộc, dự án thứ 2 'WarmOpener' (công cụ gửi email cold) được hoàn thiện nhờ kinh nghiệm từ đầu. Bài học: Thất bại là bước đệm để 'ship' sản phẩm!

#SaaS #FailFast #LậpTrình #KinhNghiệm #KhởiNghiệp #Col

Một nhà sáng lập SaaS chia sẻ sau 8 tháng phát triển, anh nhận ra công cụ mình tạo không đúng với nhu cầu thực của khách hàng. Gọi điện một người dùng tiềm năng, họ lại nghĩ rằng sản phẩm làm chủ đề khác hoàn toàn. Vậy nên pivot, bổ sung chức năng, hay gác lại chấp niệm và bắt đầu lại từ đầu? Sự thật thấm đòn nhưng cần thay đổi để không lãng phí thời gian. #SaaS #Startup #KinhDoanh #SángTạo #DoanhNghiệpNhỏ #FailFast #EntrepreneurVietNam

https://www.reddit.com/r/SaaS/comments/1ozksgy/i_think_ive

@nobsagile

Ich glaube, da gibt es ein kulturell unterschiedliches Verständnis von "scheitern". In manchen Kulturen ist es eine Schmach, die man auf jeden Fall vermeiden muss. In anderen ist es der Beweis, dass man den Mut hatte, es zu versuchen.

Ist es nicht sinnvoller, darauf hin zu arbeiten, dass die erste Kategorie sich der zweiten annähert?

#Agile #Mindset #FailFast #LearnFast #Produktentwicklung

@nobsagile

Ich glaube, da gibt es ein kulturell unterschiedliches Verständnis von "scheitern". In manchen Kulturen ist es eine Schmach, die man auf jeden Fall vermeiden muss. In anderen ist es der Beweis, dass man den Mut hatte, es zu versuchen.

Ist es nicht sinnvoller, darauf hin zu arbeiten, dass die erste Kategorie sich der zweiten annähert?

#Agile #Mindset #FailFast #LearnFast #Produktentwicklung

@nobsagile

Ich glaube, da gibt es ein kulturell unterschiedliches Verständnis von "scheitern". In manchen Kulturen ist es eine Schmach, die man auf jeden Fall vermeiden muss. In anderen ist es der Beweis, dass man den Mut hatte, es zu versuchen.

Ist es nicht sinnvoller, darauf hin zu arbeiten, dass die erste Kategorie sich der zweiten annähert?

#Agile #Mindset #FailFast #LearnFast #Produktentwicklung

@nobsagile

Ich glaube, da gibt es ein kulturell unterschiedliches Verständnis von "scheitern". In manchen Kulturen ist es eine Schmach, die man auf jeden Fall vermeiden muss. In anderen ist es der Beweis, dass man den Mut hatte, es zu versuchen.

Ist es nicht sinnvoller, darauf hin zu arbeiten, dass die erste Kategorie sich der zweiten annähert?

#Agile #Mindset #FailFast #LearnFast #Produktentwicklung

@nobsagile

Ich glaube, da gibt es ein kulturell unterschiedliches Verständnis von "scheitern". In manchen Kulturen ist es eine Schmach, die man auf jeden Fall vermeiden muss. In anderen ist es der Beweis, dass man den Mut hatte, es zu versuchen.

Ist es nicht sinnvoller, darauf hin zu arbeiten, dass die erste Kategorie sich der zweiten annähert?

#Agile #Mindset #FailFast #LearnFast #Produktentwicklung

Hört ihr auch ständig dieses "Fail Fast"-Mantra? Ich halte das für grundlegend falsch und sogar schädlich.

Das Problem ist das Wort "Scheitern". Es suggeriert ein binäres Ergebnis, dabei geht es nicht um Erfolg oder Misserfolg.

Es geht darum, Hypothesen zu testen, z.B. "Verbessert dieses Feature das Leben unserer Nutzer?". Jede Antwort darauf ist ein Fortschritt, kein Scheitern.

Ein Thread 🧵 👇

(1/3)

#Agile #Mindset #FailFast #LearnFast #Produktentwicklung

Hört ihr auch ständig dieses "Fail Fast"-Mantra? Ich halte das für grundlegend falsch und sogar schädlich.

Das Problem ist das Wort "Scheitern". Es suggeriert ein binäres Ergebnis, dabei geht es nicht um Erfolg oder Misserfolg.

Es geht darum, Hypothesen zu testen, z.B. "Verbessert dieses Feature das Leben unserer Nutzer?". Jede Antwort darauf ist ein Fortschritt, kein Scheitern.

Ein Thread 🧵 👇

(1/3)

#Agile #Mindset #FailFast #LearnFast #Produktentwicklung

Hört ihr auch ständig dieses "Fail Fast"-Mantra? Ich halte das für grundlegend falsch und sogar schädlich.

Das Problem ist das Wort "Scheitern". Es suggeriert ein binäres Ergebnis, dabei geht es nicht um Erfolg oder Misserfolg.

Es geht darum, Hypothesen zu testen, z.B. "Verbessert dieses Feature das Leben unserer Nutzer?". Jede Antwort darauf ist ein Fortschritt, kein Scheitern.

Ein Thread 🧵 👇

(1/3)

#Agile #Mindset #FailFast #LearnFast #Produktentwicklung

Hört ihr auch ständig dieses "Fail Fast"-Mantra? Ich halte das für grundlegend falsch und sogar schädlich.

Das Problem ist das Wort "Scheitern". Es suggeriert ein binäres Ergebnis, dabei geht es nicht um Erfolg oder Misserfolg.

Es geht darum, Hypothesen zu testen, z.B. "Verbessert dieses Feature das Leben unserer Nutzer?". Jede Antwort darauf ist ein Fortschritt, kein Scheitern.

Ein Thread 🧵 👇

(1/3)

#Agile #Mindset #FailFast #LearnFast #Produktentwicklung

Hört ihr auch ständig dieses "Fail Fast"-Mantra? Ich halte das für grundlegend falsch und sogar schädlich.

Das Problem ist das Wort "Scheitern". Es suggeriert ein binäres Ergebnis, dabei geht es nicht um Erfolg oder Misserfolg.

Es geht darum, Hypothesen zu testen, z.B. "Verbessert dieses Feature das Leben unserer Nutzer?". Jede Antwort darauf ist ein Fortschritt, kein Scheitern.

Ein Thread 🧵 👇

(1/3)

#Agile #Mindset #FailFast #LearnFast #Produktentwicklung

Earlier this month I spoke at AICON Belfast and explored a topic I know many of us grapple with: why a significant number of AI projects don't achieve their full potential 📉 More importantly, I presented an actionable framework designed to help us identify and overcome these common challenges ✅

If you weren't able to make it, or just want a refresher, you can watch the full talk here: http://bit.ly/4qqFYPO

#Deloitte #AI #FailFast
http://bit.ly/4qqFYPO

Earlier this month I spoke at AICON Belfast and explored a topic I know many of us grapple with: why a significant number of AI projects don't achieve their full potential 📉 More importantly, I presented an actionable framework designed to help us identify and overcome these common challenges ✅

If you weren't able to make it, or just want a refresher, you can watch the full talk here: http://bit.ly/4qqFYPO

#Deloitte #AI #FailFast
http://bit.ly/4qqFYPO

Oh, joy! 🤦‍♂️ Yet another command-line tool that lets you #retry that command you *already* know is going to fail. Because obviously, the solution to bad code is to make it fail faster! 🚀 Why fix bugs when you can just keep smashing your head against the keyboard with style? 🧨
https://github.com/MaxBondABE/attempt #commandline #tools #badcode #failfast #codinghumor #developerlife #HackerNews #ngated

Oh, joy! 🤦‍♂️ Yet another command-line tool that lets you #retry that command you *already* know is going to fail. Because obviously, the solution to bad code is to make it fail faster! 🚀 Why fix bugs when you can just keep smashing your head against the keyboard with style? 🧨
https://github.com/MaxBondABE/attempt #commandline #tools #badcode #failfast #codinghumor #developerlife #HackerNews #ngated

Oh, joy! 🤦‍♂️ Yet another command-line tool that lets you #retry that command you *already* know is going to fail. Because obviously, the solution to bad code is to make it fail faster! 🚀 Why fix bugs when you can just keep smashing your head against the keyboard with style? 🧨
https://github.com/MaxBondABE/attempt #commandline #tools #badcode #failfast #codinghumor #developerlife #HackerNews #ngated

Oh, joy! 🤦‍♂️ Yet another command-line tool that lets you #retry that command you *already* know is going to fail. Because obviously, the solution to bad code is to make it fail faster! 🚀 Why fix bugs when you can just keep smashing your head against the keyboard with style? 🧨
https://github.com/MaxBondABE/attempt #commandline #tools #badcode #failfast #codinghumor #developerlife #HackerNews #ngated

Die Grundidee bleibt faszinierend:
Eine agentische KI, die ihre eigene Codebasis kennt, strukturiert vorgeht, Rückmeldungen aus der Code-Ausführung einbezieht und dadurch komplexen Code Schritt für Schritt erzeugt.

Nur leider:
Am Ende läuft’s nicht.
Und die KI wirkt mit jedem Schritt ein kleines bisschen dümmer.

#AgenticAI #CodeGeneration #AIDev #FailFast #PromptJourney #DeveloperReality

Die Grundidee bleibt faszinierend:
Eine agentische KI, die ihre eigene Codebasis kennt, strukturiert vorgeht, Rückmeldungen aus der Code-Ausführung einbezieht und dadurch komplexen Code Schritt für Schritt erzeugt.

Nur leider:
Am Ende läuft’s nicht.
Und die KI wirkt mit jedem Schritt ein kleines bisschen dümmer.

#AgenticAI #CodeGeneration #AIDev #FailFast #PromptJourney #DeveloperReality

Die Grundidee bleibt faszinierend:
Eine agentische KI, die ihre eigene Codebasis kennt, strukturiert vorgeht, Rückmeldungen aus der Code-Ausführung einbezieht und dadurch komplexen Code Schritt für Schritt erzeugt.

Nur leider:
Am Ende läuft’s nicht.
Und die KI wirkt mit jedem Schritt ein kleines bisschen dümmer.

#AgenticAI #CodeGeneration #AIDev #FailFast #PromptJourney #DeveloperReality

Die Grundidee bleibt faszinierend:
Eine agentische KI, die ihre eigene Codebasis kennt, strukturiert vorgeht, Rückmeldungen aus der Code-Ausführung einbezieht und dadurch komplexen Code Schritt für Schritt erzeugt.

Nur leider:
Am Ende läuft’s nicht.
Und die KI wirkt mit jedem Schritt ein kleines bisschen dümmer.

#AgenticAI #CodeGeneration #AIDev #FailFast #PromptJourney #DeveloperReality

Die Grundidee bleibt faszinierend:
Eine agentische KI, die ihre eigene Codebasis kennt, strukturiert vorgeht, Rückmeldungen aus der Code-Ausführung einbezieht und dadurch komplexen Code Schritt für Schritt erzeugt.

Nur leider:
Am Ende läuft’s nicht.
Und die KI wirkt mit jedem Schritt ein kleines bisschen dümmer.

#AgenticAI #CodeGeneration #AIDev #FailFast #PromptJourney #DeveloperReality

A strange usage of this new ai llm world. I as an individual can dabble quickly into a new domain and am suddenly faced with issues that people face deep in domain as basic grunt work is automated and i can then make a judgement call if i want to keep exploring this domain or not.

#failfast

A strange usage of this new ai llm world. I as an individual can dabble quickly into a new domain and am suddenly faced with issues that people face deep in domain as basic grunt work is automated and i can then make a judgement call if i want to keep exploring this domain or not.

#failfast

A strange usage of this new ai llm world. I as an individual can dabble quickly into a new domain and am suddenly faced with issues that people face deep in domain as basic grunt work is automated and i can then make a judgement call if i want to keep exploring this domain or not.

#failfast

A strange usage of this new ai llm world. I as an individual can dabble quickly into a new domain and am suddenly faced with issues that people face deep in domain as basic grunt work is automated and i can then make a judgement call if i want to keep exploring this domain or not.

#failfast

A strange usage of this new ai llm world. I as an individual can dabble quickly into a new domain and am suddenly faced with issues that people face deep in domain as basic grunt work is automated and i can then make a judgement call if i want to keep exploring this domain or not.

#failfast

Embrace failure! Learn why DevOps teams celebrate mistakes, fail fast, and use every error as a stepping stone to better software.

#DevOps #FailFast #TechCulture #ContinuousLearning #SoftwareDevelopment

https://webdad.eu/2025/05/21/fail-fast-why-devops-teams-embrace-mistakes/

🗣️ Zitat der Woche: „Fail fast, learn faster.“

🟢 Hilfreich, wenn Mut und Chance zum Ausprobieren da sind.
🔴 Riskant, wenn nur das Scheitern bleibt – ohne echte Lernschleife.
🧠 Reflexionsfragen:
• Was genau lernen wir – und wie sichern wir es fürs Team?
• Planen wir unsere Experimente wirklich bewusst?

#FailFast #Lernen #Experimente #Agile #Teamkultur

🗣️ Zitat der Woche: „Fail fast, learn faster.“

🟢 Hilfreich, wenn Mut und Chance zum Ausprobieren da sind.
🔴 Riskant, wenn nur das Scheitern bleibt – ohne echte Lernschleife.
🧠 Reflexionsfragen:
• Was genau lernen wir – und wie sichern wir es fürs Team?
• Planen wir unsere Experimente wirklich bewusst?

#FailFast #Lernen #Experimente #Agile #Teamkultur

🗣️ Zitat der Woche: „Fail fast, learn faster.“

🟢 Hilfreich, wenn Mut und Chance zum Ausprobieren da sind.
🔴 Riskant, wenn nur das Scheitern bleibt – ohne echte Lernschleife.
🧠 Reflexionsfragen:
• Was genau lernen wir – und wie sichern wir es fürs Team?
• Planen wir unsere Experimente wirklich bewusst?

#FailFast #Lernen #Experimente #Agile #Teamkultur

🗣️ Zitat der Woche: „Fail fast, learn faster.“

🟢 Hilfreich, wenn Mut und Chance zum Ausprobieren da sind.
🔴 Riskant, wenn nur das Scheitern bleibt – ohne echte Lernschleife.
🧠 Reflexionsfragen:
• Was genau lernen wir – und wie sichern wir es fürs Team?
• Planen wir unsere Experimente wirklich bewusst?

#FailFast #Lernen #Experimente #Agile #Teamkultur