The French government did not provide a specific timeline for the switchover, or which distributions it was considering.
Got to be Mandrake right?
What resonated most for me was the "Finding Your Threshold" section. Your "Developers need the dopamine hit of creation." is memorable. I have also blogged about this phenomenon at https://www.exploravention.com/blogs/soft_arch_agentic_ai/ but I frame it more as how leaders can help the organization arrive at a healthy and sustainable balance between writing and reviewing code.
https://www.higherscoresdfs.com/dfs/spa/welcome/
Here is the pitch.
We seek to empower DFS fans through education about predicting professional sports athlete outcomes. We do that through strategy advice, hot player tips, optimized lineups, and pick’em style game-friendly player props. We're not trying to take away your control or do your thinking for you. We are just here to support you in making better decisions. Let the app do the number crunching so you can get back to competitive play that gets results and is also fun.
There are plenty of articles on review fatigue including https://www.exploravention.com/blogs/soft_arch_agentic_ai/ which I published recently. The focus there is less about the impact on the developer and more about the impact on the organization as letting bugs go to production will trigger the returning to high ceremony releases and release anxiety.
The OP article talks about AI fatigue of which review fatigue is a part. I guess that I would sum up the other parts like this. The agentic AI workflow is so focused on optimizing for productivity that it burns the human out.
The remedy is also not new for office work, take frequent breaks. I would also argue that the human developer should still write some code every now and then, not because the AI cannot do it but because it would slow the process down and allow for the human to recover while still feeling invested.
1. Since the same AI writes both the code and the unit tests, it stands to reason that both could be influenced by the same hallucinations.
2. Having a dev on call reduces time to restore service because the dev is familiar with the code. If developers stop reviewing code, they won't be familiar with it and won't be as effective. I am currently unaware of any viable agentic AI substitute for a dev on call capability.
3. There may be legal or compliance standards regarding due diligence which won't get met if developers are no longer familiar with the code.
I have blogged about this recently at https://www.exploravention.com/blogs/soft_arch_agentic_ai/
I think it is now pretty clear what impact agentic AI has on coders. I am curious how technology leaders (e.g., software architects, staff engineers, senior developers, team leads) are changing how they work and what they are responsible for in organizations that have fully committed to agentic AI. Now that it is the AI that is writing the code...Do we still need humans to manage tech debt?Do...
Not sure about your information architecture. What is the difference between the web frameworks and web server abstraction tags?
This next question is more for the Clojure community. From https://clojure.land/?tags=Web%20Frameworks we see 34 web frameworks. That seems like a lot to me. Why is there so much "scratching your own itch" because you don't like ring?
If you are considering the use of a graph database for AI based search and you are not already familiar with graph database technology, then you should be advised that graph databases are not relational databases. If you cognitively model nodes = tables and edges = joins, then you will be in for some nasty surprises. You should consider some learning, and some unlearning, to do before proceeding with that choice.
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Email: https://www.exploravention.com/subscriptions/subscribe/Like the rest of online mass media, HN covers generative AI a lot but there is still plenty of value in predictive AI. Both forms provide plenty of technical challenges to the AI engineer. I miss the days when you could get a stack trace to when debugging an issue.
The question is this. Do the costs of monorepo justify the benefits for your situation? The answer is not always yes.
https://www.exploravention.com/products/askarch/
It is an interesting discovery journey on extracting relevant information from both code and documentation with a sufficient density to stay within the context window and extracting efficient criteria from arbitrarily phrased questions.
https://www.exploravention.com/AskArchitect/
Have you ever wondered what adding that missing feature to your favorite open-source software would take?I want to explore how effective RAG-focused LLMs can be in accurately answering complex or nuanced questions about improving sophisticated systems. With over a decade of experience as a software architect, I have formed some opinions about what constitutes a good signal when analyzing large...
When an LLM is prompted, it generates a response by predicting the most probable continuation or completion of the input. It considers the context provided by the input and generates a response that is coherent, relevant, and contextually appropriate but not necessarily correct.
I like the crowdsourcing metaphor. Back when crowdsourcing was the next big think in application development, there was always a curatorial process that filters out low quality content then distills the "wisdom of the crowds" into more actionable results. For AI, that would be called supervised learning which definitely increases the costs.
I think that unbiased and authentic experimentation and measurement of hallucinations in generative AI is important and hope that this effort continues. I encourage the folks here to participate in that in order to monitor the real value that LLMs provide and also as an ongoing reminder that human review and supervision will always be a necessity.