It’s not what you know, it’s how you know you know it
The complex relationship of give-and-take in the knowledge journey is untangled in the results from the latest Stack Overflow Knows survey.
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Code for a Living
The hardest part of building software is not coding, it's requirements
Why replacing programmers with AI won’t be so easy.
Self-healing code is the future of software development
Developers love automating solutions to their problems, and with the rise of generative AI, this concept is likely to be applied to both the creation, maintenance, and the improvement of code at an entirely new level.
Stop saying “technical debt”
Everyone who says "tech debt" assumes they know what we’re all talking about, but their individual definitions differ quite a bit.
Developer with ADHD? You’re not alone.
Is there a connection between programming and ADHD? And could it be that people with ADHD are particularly well-suited to programming careers?
Is software getting worse?
With all the advancements in software development, apps could be much better. Why aren't they?
Three types of AI-assisted programmers
What matters isn’t just whether you use it, but how.
Are remote workers more productive? That’s the wrong question.
Plenty of workers prefer flexibility, regardless of what the research says.
An intuitive introduction to text embeddings
Text embeddings are key to LLMs and convert text into vector coordinates.
The product approach to open source communities
A business wouldn’t take its product development for granted, so why would you neglect the OSS community that’s fundamental to the project’s very existence?
AI is only as good as the data: Q&A with Satish Jayanthi of Coalesce
AI systems obey the golden rule: garbage in, garbage out, Want good results, feed it good data.
Edge and beyond: How to meet the increasing demand for memory
The opportunities for edge computing are huge—but so are the memory requirements.
Hopping instead of hustling: Survey tells us how developers are taking care of business
Both new talent and late-career developers are more likely to be looking.
Privacy in the age of generative AI
The core challenge posed by generative AI right now is that unlike conventional applications, LLMs have no “delete” button.
Retrieval augmented generation: Keeping LLMs relevant and current
Retrieval augmented generation (RAG) is a strategy that helps address both LLM hallucinations and out-of-date training data.
Is AI enough to increase your productivity?
Being an effective coder with a code generation tool still requires you to be an effective coder without one.
Integrating AI tools into your workflow
For AI tools to be useful to your team, they have to fit into your existing workflows.
Wondering how sustainable your buildings are? Make your data speak
If we can make operational data easier to manage and easier to access through simple, standardized APIs, everyone can transform their companies into sustainable data-driven organizations.
From prototype to production: Vector databases in generative AI applications
What exactly is a vector database? And how does it relate to generative AI?
Open Discussion: What can be done to reduce infrastructure-as-code complexity?
Highlighting one of the interesting discussions going on in our Collectives.
Behind the scenes with OverflowAI Search
Go behind the scenes to learn how we designed our new search.
Do you need a specialized vector database to implement vector search well?
Semantic search and augmenting LLMs have sent everyone turning their text into vectors. But where do you store all that vector data?
How to land the manager-to-IC pivot
The conventional metaphor for career success is a ladder, but there are a lot of problems with this narrative.
Journey to the cloud part I: Migrating Stack Overflow Teams to Azure
Stack Overflow for Teams' journey to the cloud started with a new name.
