How does a non-programmer/non-sme evaluate whether an AI tool has safely built a login system? Correctly set up database transactions?
28.03.2025 17:49 — 👍 1 🔁 0 💬 0 📌 0
Even for those there’s an element of judgment (has the LLM added a tracking tag that inadvertently doesn’t fit with the GDPR? If you can’t read & understand the output you’d have no way of knowing) but for other use cases there’s much more potential for things to go drastically wrong
28.03.2025 17:49 — 👍 1 🔁 0 💬 1 📌 0
This only really works for things where there doesn’t need to be any human judgement of whether the LLM output is any good (or safe). I can’t really think of any areas of programming that this covers other than pure frontend marketing sites (where the output is mostly self-evident)
28.03.2025 17:49 — 👍 1 🔁 0 💬 1 📌 0
Oh amazing! I’d love to get wrangler in this—I’ll put up a PR!
28.03.2025 13:07 — 👍 2 🔁 0 💬 1 📌 0
How did you make this graph? I’ve been looking for a way to do this to track version adoption
28.03.2025 10:12 — 👍 3 🔁 0 💬 1 📌 0
wrangler 3 vs wrangler 4 dependency graphs
Wrangler 4 has almost half as many dependencies as wrangler 3!
Thank you to @penalosa.link and everyone else at @cloudflare-dev.bsky.social who worked on this!
13.03.2025 22:35 — 👍 54 🔁 4 💬 4 📌 0
👀
09.11.2024 20:30 — 👍 1 🔁 0 💬 1 📌 0
How was [redacted]!?
23.10.2024 07:43 — 👍 0 🔁 0 💬 0 📌 0
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