#software-architecture — Public Fediverse posts

Been playing with different AI agent orchestration patterns. Event-driven vs scheduled polling — each has clear tradeoffs.

Event-driven: lower latency, complex state
Polling: simpler, wastes resources

What's your experience? What patterns work best for multi-agent systems?

#AI #agents #softwarearchitecture

Been playing with different AI agent orchestration patterns. Event-driven vs scheduled polling — each has clear tradeoffs.

Event-driven: lower latency, complex state
Polling: simpler, wastes resources

What's your experience? What patterns work best for multi-agent systems?

#AI #agents #softwarearchitecture

Been playing with different AI agent orchestration patterns. Event-driven vs scheduled polling — each has clear tradeoffs.

Event-driven: lower latency, complex state
Polling: simpler, wastes resources

What's your experience? What patterns work best for multi-agent systems?

#AI #agents #softwarearchitecture

Agents do not need RAG or vector databases for most real world work. They need structure and semantics.

Agent Knowledge Graphs turn mixed repositories of code, docs, configs, and PDFs into a connected model that agents can reason over. This often replaces entire retrieval pipelines.

https://antaoalmada.dev/posts/Code-Agent-Knowledge-Graphs/

#AIEngineering #KnowledgeGraphs #CodingAgents #AgentWorkflows #SoftwareArchitecture #Graphify

Agents do not need RAG or vector databases for most real world work. They need structure and semantics.

Agent Knowledge Graphs turn mixed repositories of code, docs, configs, and PDFs into a connected model that agents can reason over. This often replaces entire retrieval pipelines.

https://antaoalmada.dev/posts/Code-Agent-Knowledge-Graphs/

#AIEngineering #KnowledgeGraphs #CodingAgents #AgentWorkflows #SoftwareArchitecture #Graphify

Agents do not need RAG or vector databases for most real world work. They need structure and semantics.

Agent Knowledge Graphs turn mixed repositories of code, docs, configs, and PDFs into a connected model that agents can reason over. This often replaces entire retrieval pipelines.

https://antaoalmada.dev/posts/Code-Agent-Knowledge-Graphs/

#AIEngineering #KnowledgeGraphs #CodingAgents #AgentWorkflows #SoftwareArchitecture #Graphify

Agents do not need RAG or vector databases for most real world work. They need structure and semantics.

Agent Knowledge Graphs turn mixed repositories of code, docs, configs, and PDFs into a connected model that agents can reason over. This often replaces entire retrieval pipelines.

https://antaoalmada.dev/posts/Code-Agent-Knowledge-Graphs/

#AIEngineering #KnowledgeGraphs #CodingAgents #AgentWorkflows #SoftwareArchitecture #Graphify

Agents do not need RAG or vector databases for most real world work. They need structure and semantics.

Agent Knowledge Graphs turn mixed repositories of code, docs, configs, and PDFs into a connected model that agents can reason over. This often replaces entire retrieval pipelines.

https://antaoalmada.dev/posts/Code-Agent-Knowledge-Graphs/

#AIEngineering #KnowledgeGraphs #CodingAgents #AgentWorkflows #SoftwareArchitecture #Graphify

Saw an article starting with:

"If you run anything in the cloud, your teams are already using AI: ChatGPT plugins, Copilot in integrated development environments (IDEs), a LangChain proof of concept that somehow became part of a customer journey, a weekend assistant that was never meant to last but did."

Really? Has it gotten that much out of hand that people don't know anymore where they shipped some AI stuff? Or is this just BS?

#Softwareengineering #ai #softwarearchitecture

Saw an article starting with:

"If you run anything in the cloud, your teams are already using AI: ChatGPT plugins, Copilot in integrated development environments (IDEs), a LangChain proof of concept that somehow became part of a customer journey, a weekend assistant that was never meant to last but did."

Really? Has it gotten that much out of hand that people don't know anymore where they shipped some AI stuff? Or is this just BS?

#Softwareengineering #ai #softwarearchitecture

Saw an article starting with:

"If you run anything in the cloud, your teams are already using AI: ChatGPT plugins, Copilot in integrated development environments (IDEs), a LangChain proof of concept that somehow became part of a customer journey, a weekend assistant that was never meant to last but did."

Really? Has it gotten that much out of hand that people don't know anymore where they shipped some AI stuff? Or is this just BS?

#Softwareengineering #ai #softwarearchitecture

Saw an article starting with:

"If you run anything in the cloud, your teams are already using AI: ChatGPT plugins, Copilot in integrated development environments (IDEs), a LangChain proof of concept that somehow became part of a customer journey, a weekend assistant that was never meant to last but did."

Really? Has it gotten that much out of hand that people don't know anymore where they shipped some AI stuff? Or is this just BS?

#Softwareengineering #ai #softwarearchitecture

#AgenticAI architecture is redefining how software is designed - and it's poised to shape the industry for years to come.

This #InfoQ eMag explores the core concepts, patterns, and emerging trends driving agentic AI as it moves into the mainstream.

📥 Download your free copy here: https://bit.ly/4p0tmyv

#SoftwareArchitecture #AIArchitecture #AIAgents

#AgenticAI architecture is redefining how software is designed - and it's poised to shape the industry for years to come.

This #InfoQ eMag explores the core concepts, patterns, and emerging trends driving agentic AI as it moves into the mainstream.

📥 Download your free copy here: https://bit.ly/4p0tmyv

#SoftwareArchitecture #AIArchitecture #AIAgents

#AgenticAI architecture is redefining how software is designed - and it's poised to shape the industry for years to come.

This #InfoQ eMag explores the core concepts, patterns, and emerging trends driving agentic AI as it moves into the mainstream.

📥 Download your free copy here: https://bit.ly/4p0tmyv

#SoftwareArchitecture #AIArchitecture #AIAgents

#AgenticAI architecture is redefining how software is designed - and it's poised to shape the industry for years to come.

This #InfoQ eMag explores the core concepts, patterns, and emerging trends driving agentic AI as it moves into the mainstream.

📥 Download your free copy here: https://bit.ly/4p0tmyv

#SoftwareArchitecture #AIArchitecture #AIAgents

#AgenticAI architecture is redefining how software is designed - and it's poised to shape the industry for years to come.

This #InfoQ eMag explores the core concepts, patterns, and emerging trends driving agentic AI as it moves into the mainstream.

📥 Download your free copy here: https://bit.ly/4p0tmyv

#SoftwareArchitecture #AIArchitecture #AIAgents

“The real problem is not whether machines think but whether men do.” – B. F. Skinner

New tools, AI included, can accelerate development, but they do not replace critical thinking. Architecture decisions, risk assessment, and system design still require human judgment. Better tools make thinking more important, not less.

💬 How do you ensure that convenience does not replace understanding?

#DevThinking #SoftwareArchitecture #CodeQuality

Photo by Eugen Str on Unsplash

“The real problem is not whether machines think but whether men do.” – B. F. Skinner

New tools, AI included, can accelerate development, but they do not replace critical thinking. Architecture decisions, risk assessment, and system design still require human judgment. Better tools make thinking more important, not less.

💬 How do you ensure that convenience does not replace understanding?

#DevThinking #SoftwareArchitecture #CodeQuality

Photo by Eugen Str on Unsplash

Target built a new GenAI system to overhaul marketing campaign forecasting by retrieving and ranking similar historical campaigns.

Instead of relying on rule-based workflows, it uses embeddings, vector search, and LLM-based ranking to identify the most relevant past campaigns.

Read #InfoQ to see how the system performed 👉 https://bit.ly/4p0w8Uh

#AI #GenerativeAI #LLMs #SoftwareArchitecture #RAG

Target built a new GenAI system to overhaul marketing campaign forecasting by retrieving and ranking similar historical campaigns.

Instead of relying on rule-based workflows, it uses embeddings, vector search, and LLM-based ranking to identify the most relevant past campaigns.

Read #InfoQ to see how the system performed 👉 https://bit.ly/4p0w8Uh

#AI #GenerativeAI #LLMs #SoftwareArchitecture #RAG

Target built a new GenAI system to overhaul marketing campaign forecasting by retrieving and ranking similar historical campaigns.

Instead of relying on rule-based workflows, it uses embeddings, vector search, and LLM-based ranking to identify the most relevant past campaigns.

Read #InfoQ to see how the system performed 👉 https://bit.ly/4p0w8Uh

#AI #GenerativeAI #LLMs #SoftwareArchitecture #RAG

Target built a new GenAI system to overhaul marketing campaign forecasting by retrieving and ranking similar historical campaigns.

Instead of relying on rule-based workflows, it uses embeddings, vector search, and LLM-based ranking to identify the most relevant past campaigns.

Read #InfoQ to see how the system performed 👉 https://bit.ly/4p0w8Uh

#AI #GenerativeAI #LLMs #SoftwareArchitecture #RAG

Target built a new GenAI system to overhaul marketing campaign forecasting by retrieving and ranking similar historical campaigns.

Instead of relying on rule-based workflows, it uses embeddings, vector search, and LLM-based ranking to identify the most relevant past campaigns.

Read #InfoQ to see how the system performed 👉 https://bit.ly/4p0w8Uh

#AI #GenerativeAI #LLMs #SoftwareArchitecture #RAG

Microservices keep getting recommended to teams that don't yet have a working monolith... Backwards!

Most successful microservice stories started as monoliths that got broken up. Architecture depends on the problem, not the conference talk.

https://www.fastruby.io/monolith?utm_source=mastodon&utm_medium=Organic&utm_campaign=EvergreenPromo&utm_content=Textonly&utm_term=monolith-mastodon-2026-05

#SoftwareArchitecture #Monolith #Microservices

Microservices keep getting recommended to teams that don't yet have a working monolith... Backwards!

Most successful microservice stories started as monoliths that got broken up. Architecture depends on the problem, not the conference talk.

https://www.fastruby.io/monolith?utm_source=mastodon&utm_medium=Organic&utm_campaign=EvergreenPromo&utm_content=Textonly&utm_term=monolith-mastodon-2026-05

#SoftwareArchitecture #Monolith #Microservices

Event-driven architecture promises scalability, but the real tradeoffs in Java-based real-time systems only show up in production.

Drawing on a Java/Kafka contact center platform handling 80k BHCC across 10k agents, Sagar Deepak Joshi's new #InfoQ article explores exactly where things break down:
🔹 State management & partition limits
🔹 Message deduplication
🔹 JVM tuning challenges
🔹 Cascading consumer failures

Discover the Redis-backed patterns used to solve them and keep the system resilient.

🔗 Read now for more insights: https://bit.ly/4bmaRPb

#Java #SpringBoot #ApacheKafka #Redis #Microservices #SoftwareArchitecture

Event-driven architecture promises scalability, but the real tradeoffs in Java-based real-time systems only show up in production.

Drawing on a Java/Kafka contact center platform handling 80k BHCC across 10k agents, Sagar Deepak Joshi's new #InfoQ article explores exactly where things break down:
🔹 State management & partition limits
🔹 Message deduplication
🔹 JVM tuning challenges
🔹 Cascading consumer failures

Discover the Redis-backed patterns used to solve them and keep the system resilient.

🔗 Read now for more insights: https://bit.ly/4bmaRPb

#Java #SpringBoot #ApacheKafka #Redis #Microservices #SoftwareArchitecture

Event-driven architecture promises scalability, but the real tradeoffs in Java-based real-time systems only show up in production.

Drawing on a Java/Kafka contact center platform handling 80k BHCC across 10k agents, Sagar Deepak Joshi's new #InfoQ article explores exactly where things break down:
🔹 State management & partition limits
🔹 Message deduplication
🔹 JVM tuning challenges
🔹 Cascading consumer failures

Discover the Redis-backed patterns used to solve them and keep the system resilient.

🔗 Read now for more insights: https://bit.ly/4bmaRPb

#Java #SpringBoot #ApacheKafka #Redis #Microservices #SoftwareArchitecture

Event-driven architecture promises scalability, but the real tradeoffs in Java-based real-time systems only show up in production.

Drawing on a Java/Kafka contact center platform handling 80k BHCC across 10k agents, Sagar Deepak Joshi's new #InfoQ article explores exactly where things break down:
🔹 State management & partition limits
🔹 Message deduplication
🔹 JVM tuning challenges
🔹 Cascading consumer failures

Discover the Redis-backed patterns used to solve them and keep the system resilient.

🔗 Read now for more insights: https://bit.ly/4bmaRPb

#Java #SpringBoot #ApacheKafka #Redis #Microservices #SoftwareArchitecture

Event-driven architecture promises scalability, but the real tradeoffs in Java-based real-time systems only show up in production.

Drawing on a Java/Kafka contact center platform handling 80k BHCC across 10k agents, Sagar Deepak Joshi's new #InfoQ article explores exactly where things break down:
🔹 State management & partition limits
🔹 Message deduplication
🔹 JVM tuning challenges
🔹 Cascading consumer failures

Discover the Redis-backed patterns used to solve them and keep the system resilient.

🔗 Read now for more insights: https://bit.ly/4bmaRPb

#Java #SpringBoot #ApacheKafka #Redis #Microservices #SoftwareArchitecture

Most issues with coding harnesses aren’t about capability—they’re about structure.

A useful framing:
• Instructions = intent (what should be done)
• Skills = capabilities (what can be done)
• Agents = orchestration (how it’s done)
• Hooks = control points (where you intervene)

Keep these concerns separate, and harnesses become easier to reason about, extend, and debug. Mix them, and complexity compounds fast.

https://antaoalmada.dev/posts/The-Architecture-of-Code-Agents-Instructions-Skills-Agents-Hooks/

#AI #LLM #CodingHarnesses #SoftwareArchitecture

Most issues with coding harnesses aren’t about capability—they’re about structure.

A useful framing:
• Instructions = intent (what should be done)
• Skills = capabilities (what can be done)
• Agents = orchestration (how it’s done)
• Hooks = control points (where you intervene)

Keep these concerns separate, and harnesses become easier to reason about, extend, and debug. Mix them, and complexity compounds fast.

https://antaoalmada.dev/posts/The-Architecture-of-Code-Agents-Instructions-Skills-Agents-Hooks/

#AI #LLM #CodingHarnesses #SoftwareArchitecture

Most issues with coding harnesses aren’t about capability—they’re about structure.

A useful framing:
• Instructions = intent (what should be done)
• Skills = capabilities (what can be done)
• Agents = orchestration (how it’s done)
• Hooks = control points (where you intervene)

Keep these concerns separate, and harnesses become easier to reason about, extend, and debug. Mix them, and complexity compounds fast.

https://antaoalmada.dev/posts/The-Architecture-of-Code-Agents-Instructions-Skills-Agents-Hooks/

#AI #LLM #CodingHarnesses #SoftwareArchitecture

Most issues with coding harnesses aren’t about capability—they’re about structure.

A useful framing:
• Instructions = intent (what should be done)
• Skills = capabilities (what can be done)
• Agents = orchestration (how it’s done)
• Hooks = control points (where you intervene)

Keep these concerns separate, and harnesses become easier to reason about, extend, and debug. Mix them, and complexity compounds fast.

https://antaoalmada.dev/posts/The-Architecture-of-Code-Agents-Instructions-Skills-Agents-Hooks/

#AI #LLM #CodingHarnesses #SoftwareArchitecture

Most issues with coding harnesses aren’t about capability—they’re about structure.

A useful framing:
• Instructions = intent (what should be done)
• Skills = capabilities (what can be done)
• Agents = orchestration (how it’s done)
• Hooks = control points (where you intervene)

Keep these concerns separate, and harnesses become easier to reason about, extend, and debug. Mix them, and complexity compounds fast.

https://antaoalmada.dev/posts/The-Architecture-of-Code-Agents-Instructions-Skills-Agents-Hooks/

#AI #LLM #CodingHarnesses #SoftwareArchitecture

Not every pattern improves a system. A design pattern applied without understanding often adds more complexity than value. The best pattern is the one that solves a real problem and disappears into the background.

Based on “Patterns Compact” by Karl Eilebrecht. #SoftwareArchitecture #DesignPatterns #Engineering

Photo by Amsterdam City Archives on Unsplash

Not every pattern improves a system. A design pattern applied without understanding often adds more complexity than value. The best pattern is the one that solves a real problem and disappears into the background.

Based on “Patterns Compact” by Karl Eilebrecht. #SoftwareArchitecture #DesignPatterns #Engineering

Photo by Amsterdam City Archives on Unsplash

Imagine inventing something, watching it become an industry standard, and then spending decades apologizing for it.

That's exactly what computing pioneer Sir Tony Hoare did in his legendary talk, "Null References: The Billion-Dollar Mistake”.

As part of the #InfoQ20 campaign, we're revisiting this classic archive video - a must-watch for every software practitioner. It's a powerful lesson in how a seemingly small design decision can shape the entire software industry for decades.

🎬 Watch the classic talk here: https://bit.ly/4aotulm

#ComputerScience #SoftwareEngineering #SoftwareArchitecture #TechHistory

Imagine inventing something, watching it become an industry standard, and then spending decades apologizing for it.

That's exactly what computing pioneer Sir Tony Hoare did in his legendary talk, "Null References: The Billion-Dollar Mistake”.

As part of the #InfoQ20 campaign, we're revisiting this classic archive video - a must-watch for every software practitioner. It's a powerful lesson in how a seemingly small design decision can shape the entire software industry for decades.

🎬 Watch the classic talk here: https://bit.ly/4aotulm

#ComputerScience #SoftwareEngineering #SoftwareArchitecture #TechHistory

Imagine inventing something, watching it become an industry standard, and then spending decades apologizing for it.

That's exactly what computing pioneer Sir Tony Hoare did in his legendary talk, "Null References: The Billion-Dollar Mistake”.

As part of the #InfoQ20 campaign, we're revisiting this classic archive video - a must-watch for every software practitioner. It's a powerful lesson in how a seemingly small design decision can shape the entire software industry for decades.

🎬 Watch the classic talk here: https://bit.ly/4aotulm

#ComputerScience #SoftwareEngineering #SoftwareArchitecture #TechHistory

Imagine inventing something, watching it become an industry standard, and then spending decades apologizing for it.

That's exactly what computing pioneer Sir Tony Hoare did in his legendary talk, "Null References: The Billion-Dollar Mistake”.

As part of the #InfoQ20 campaign, we're revisiting this classic archive video - a must-watch for every software practitioner. It's a powerful lesson in how a seemingly small design decision can shape the entire software industry for decades.

🎬 Watch the classic talk here: https://bit.ly/4aotulm

#ComputerScience #SoftwareEngineering #SoftwareArchitecture #TechHistory

Imagine inventing something, watching it become an industry standard, and then spending decades apologizing for it.

That's exactly what computing pioneer Sir Tony Hoare did in his legendary talk, "Null References: The Billion-Dollar Mistake”.

As part of the #InfoQ20 campaign, we're revisiting this classic archive video - a must-watch for every software practitioner. It's a powerful lesson in how a seemingly small design decision can shape the entire software industry for decades.

🎬 Watch the classic talk here: https://bit.ly/4aotulm

#ComputerScience #SoftwareEngineering #SoftwareArchitecture #TechHistory

🔌 Don’t migrate every dependency directly.

In ASP.NET Core migrations, ports work best when they describe application needs, not library APIs.

- Wrap SmtpClient behind IEmailSender.
- Move dictionary token storage behind IUserTokenStore.
- Swap adapters when the infrastructure is ready.

https://medium.com/@michael.kopt/use-ports-and-adapters-to-make-asp-net-core-migration-incremental-87fcf73cdf3c

#DotNet #DotNetCore #SoftwareArchitecture #ASPNET #ASPNETCore

🔌 Don’t migrate every dependency directly.

In ASP.NET Core migrations, ports work best when they describe application needs, not library APIs.

- Wrap SmtpClient behind IEmailSender.
- Move dictionary token storage behind IUserTokenStore.
- Swap adapters when the infrastructure is ready.

https://medium.com/@michael.kopt/use-ports-and-adapters-to-make-asp-net-core-migration-incremental-87fcf73cdf3c

#DotNet #DotNetCore #SoftwareArchitecture #ASPNET #ASPNETCore

🔌 Don’t migrate every dependency directly.

In ASP.NET Core migrations, ports work best when they describe application needs, not library APIs.

- Wrap SmtpClient behind IEmailSender.
- Move dictionary token storage behind IUserTokenStore.
- Swap adapters when the infrastructure is ready.

https://medium.com/@michael.kopt/use-ports-and-adapters-to-make-asp-net-core-migration-incremental-87fcf73cdf3c

#DotNet #DotNetCore #SoftwareArchitecture #ASPNET #ASPNETCore

🔌 Don’t migrate every dependency directly.

In ASP.NET Core migrations, ports work best when they describe application needs, not library APIs.

- Wrap SmtpClient behind IEmailSender.
- Move dictionary token storage behind IUserTokenStore.
- Swap adapters when the infrastructure is ready.

https://medium.com/@michael.kopt/use-ports-and-adapters-to-make-asp-net-core-migration-incremental-87fcf73cdf3c

#DotNet #DotNetCore #SoftwareArchitecture #ASPNET #ASPNETCore

🔌 Don’t migrate every dependency directly.

In ASP.NET Core migrations, ports work best when they describe application needs, not library APIs.

- Wrap SmtpClient behind IEmailSender.
- Move dictionary token storage behind IUserTokenStore.
- Swap adapters when the infrastructure is ready.

https://medium.com/@michael.kopt/use-ports-and-adapters-to-make-asp-net-core-migration-incremental-87fcf73cdf3c

#DotNet #DotNetCore #SoftwareArchitecture #ASPNET #ASPNETCore

Stop treating SharePoint like a playground for disposable widgets. If your code isn't modular and scalable, you’re just building technical debt. It’s time to master Library Components and build architecture that actually lasts. 🛠️ Get to work. #SPFx #SharePointDev #SoftwareArchitecture 🚀

https://bdking71.wordpress.com/2026/06/29/spfx-is-not-just-for-web-parts-exploring-library-components-and-extensions/

Stop treating SharePoint like a playground for disposable widgets. If your code isn't modular and scalable, you’re just building technical debt. It’s time to master Library Components and build architecture that actually lasts. 🛠️ Get to work. #SPFx #SharePointDev #SoftwareArchitecture 🚀

https://bdking71.wordpress.com/2026/06/29/spfx-is-not-just-for-web-parts-exploring-library-components-and-extensions/

Stop treating SharePoint like a playground for disposable widgets. If your code isn't modular and scalable, you’re just building technical debt. It’s time to master Library Components and build architecture that actually lasts. 🛠️ Get to work. #SPFx #SharePointDev #SoftwareArchitecture 🚀

https://bdking71.wordpress.com/2026/06/29/spfx-is-not-just-for-web-parts-exploring-library-components-and-extensions/

Stop treating SharePoint like a playground for disposable widgets. If your code isn't modular and scalable, you’re just building technical debt. It’s time to master Library Components and build architecture that actually lasts. 🛠️ Get to work. #SPFx #SharePointDev #SoftwareArchitecture 🚀

https://bdking71.wordpress.com/2026/06/29/spfx-is-not-just-for-web-parts-exploring-library-components-and-extensions/

Stop treating SharePoint like a playground for disposable widgets. If your code isn't modular and scalable, you’re just building technical debt. It’s time to master Library Components and build architecture that actually lasts. 🛠️ Get to work. #SPFx #SharePointDev #SoftwareArchitecture 🚀

https://bdking71.wordpress.com/2026/06/29/spfx-is-not-just-for-web-parts-exploring-library-components-and-extensions/

Most teams ask the wrong question about AI deployment. 🤖 Instead of obsessing over SOTA benchmarks, we need to ask: what’s actually good enough for the task?

Part 1 of our series breaks down the architecture driving pragmatic choices. It’s the map for everything ahead. Don’t get lost in feature bloat.

Read the full analysis: https://post.kapualabs.com/p4tycsm7

#ArtificialIntelligence #EnterpriseAI #SoftwareArchitecture

“Any fool can know. The point is to understand.” – Albert Einstein

Memorizing frameworks, APIs, or design patterns is useful, but understanding the underlying principles creates lasting value. Engineers who understand trade-offs can adapt when technologies change. Knowledge ages; understanding scales.

💬 Where has understanding fundamentals helped you more than specific tools?

#DevThinking #ContinuousImprovement #SoftwareArchitecture #DevGrowth

Photo by Daria Nepriakhina on Unsplash

“Any fool can know. The point is to understand.” – Albert Einstein

Memorizing frameworks, APIs, or design patterns is useful, but understanding the underlying principles creates lasting value. Engineers who understand trade-offs can adapt when technologies change. Knowledge ages; understanding scales.

💬 Where has understanding fundamentals helped you more than specific tools?

#DevThinking #ContinuousImprovement #SoftwareArchitecture #DevGrowth

Photo by Daria Nepriakhina on Unsplash

“Any fool can know. The point is to understand.” – Albert Einstein

Memorizing frameworks, APIs, or design patterns is useful, but understanding the underlying principles creates lasting value. Engineers who understand trade-offs can adapt when technologies change. Knowledge ages; understanding scales.

💬 Where has understanding fundamentals helped you more than specific tools?

#DevThinking #ContinuousImprovement #SoftwareArchitecture #DevGrowth

Photo by Daria Nepriakhina on Unsplash

“Any fool can know. The point is to understand.” – Albert Einstein

Memorizing frameworks, APIs, or design patterns is useful, but understanding the underlying principles creates lasting value. Engineers who understand trade-offs can adapt when technologies change. Knowledge ages; understanding scales.

💬 Where has understanding fundamentals helped you more than specific tools?

#DevThinking #ContinuousImprovement #SoftwareArchitecture #DevGrowth

Photo by Daria Nepriakhina on Unsplash

🎉 The BaselOne 2026 Program is taking shape!

Our Program Committee has selected a fantastic lineup of international experts covering #SoftwareArchitecture, #Java, #cloud, #AI, #Security, #DevOps and more.

Curious who’s taking the stage in Basel this October?

👉 https://baselone.org/en/baselone-2026-program/

Which speaker are you looking forward to most?

🎟️ Regular tickets are available now!

See you at the Markthalle Basel on 14-15 October 2026.

#BaselOne26 #Basel #softwareEngineering

🎉 The BaselOne 2026 Program is taking shape!

Our Program Committee has selected a fantastic lineup of international experts covering #SoftwareArchitecture, #Java, #cloud, #AI, #Security, #DevOps and more.

Curious who’s taking the stage in Basel this October?

👉 https://baselone.org/en/baselone-2026-program/

Which speaker are you looking forward to most?

🎟️ Regular tickets are available now!

See you at the Markthalle Basel on 14-15 October 2026.

#BaselOne26 #Basel #softwareEngineering