Using code assistants is not bad. However, using code assistants without owning and understanding the "created" code is bad because bad code can increase cognitive cost of understanding the system, increase testing cost, increase reviewer workload, and lead to prod failures.

Engineers/Devs are responsible for their code and its effects on the (eco)system; not the tools/assistants used to create the code.

#software #engineering #codeassistants

"AI code assistants fuel Python's dominance, creating a feedback loop that risks programming monoculture. Diverse languages like Rust, Erlang, and R offer unique solutions—should we preserve them? #AI #ProgrammingMonoculture #TechDiversity"

#AI #ProgrammingLanguages #TechTrends #SoftwareDiversity #CodeAssistants

https://saysomething.hashnode.dev/pythons-ai-powered-dominance-the-emergence-of-a-programming-monoculture

Writing code just got quicker.
These AI assistants help you debug, suggest snippets, and speed through development — ideal for beginners and pros alike.
Read more:
#aimartz #aimartz.com #AICodingTools #CodeAssistants #DeveloperAI

https://aimartz.com/blog/ai-code-assistant-tools/

"The author of this library would like everyone to know that he was, in fact, well-aware of this requirement, thought about it a lot while designing the library, and then, somehow, forgot to actually make sure the check was in the code. That is, it's not that he didn't know what he was doing, it's that he knew what he was doing but flubbed it."
#GenAI #LLM #Cloudfare #Security #CodeAssistants #Copilot #Agentic #CVE #Authentication #FOSS

https://nvd.nist.gov/vuln/detail/cve-2025-4143

NVD - cve-2025-4143

We've been using the wrong mental model to describe software development AI agents and this might be limiting the value engineers can extract from these tools. https://buff.ly/CLslpND #codeassistants #llm #softwareengineering #ai
Context Is King: Reframing Our Mental Model of Coding Assistants

We've been using the wrong mental model to describe software development AI agents and this might be limiting the value engineers can extract from these tools.

Strategic Software Engineering

@itamarst

I don't use it, but I am using some other #Ai #codeAssistants, but only as a first draft (starting point).

It saves me time - you can find code snippets quicker than browsing the web.

However, the biggest issue is the fact that it usually gives incomplete answers, and you need to know what's missing, to fill the gaps.

It won't replace programmers anytime soon.

"#StackOverflow is suffering reduced traffic, with the likely reason being #CodeAssistants integrated into IDEs. How will this solve the problem, which could mean less engagement and therefore less data to draw on, especially if more developers stay within their IDE?" #GenerativeAI #AI

Stack Overflow unveils #OverflowAI and #VSCode add-in • DEVCLASS
https://devclass.com/2023/07/28/stack-overflow-unveils-overflowai-and-vs-code-add-in/

Stack Overflow unveils OverflowAI and VS Code add-in • DEVCLASS

Stack Overflow has introduced OverflowAI, a service under development which merges AI with its huge database of technical […]

DEVCLASS