2025-12-09 09:13:39
Deprecations via warnings don’t work for Python libraries
Seth Larson reports that urllib3 2.6.0 released on the 5th of December and finally removed theHTTPResponse.getheaders() and HTTPResponse.getheader(name, default) methods, which have been marked as deprecated via warnings since v2.0.0 in April 2023. They had to add them back again in a hastily released 2.6.1 a few days later when it turned out major downstream dependents such as kubernetes-client and fastly-py still hadn't upgraded.
Seth says:
My conclusion from this incident is that
DeprecationWarningin its current state does not work for deprecating APIs, at least for Python libraries. That is unfortunate, asDeprecationWarningand thewarningsmodule are easy-to-use, language-"blessed", and explicit without impacting users that don't need to take action due to deprecations.
On Lobste.rs James Bennett advocates for watching for warnings more deliberately:
Something I always encourage people to do, and try to get implemented anywhere I work, is running Python test suites with
-Wonce::DeprecationWarning. This doesn't spam you with noise if a deprecated API is called a lot, but still makes sure you see the warning so you know there's something you need to fix.
I didn't know about the -Wonce option - the documentation describes that as "Warn once per Python process".
Via lobste.rs
Tags: james-bennett, open-source, python, seth-michael-larson
2025-12-08 11:16:41
Niche Museums: The Museum of Jurassic Technology
I finally got to check off the museum that's been top of my want-to-go list since I first started documenting niche museums I've been to back in 2019.The Museum of Jurassic Technology opened in Culver City, Los Angeles in 1988 and has been leaving visitors confused as to what's real and what isn't for nearly forty years.
Tags: museums
2025-12-08 05:28:28
Now I want to talk about how they're selling AI. The growth narrative of AI is that AI will disrupt labor markets. I use "disrupt" here in its most disreputable, tech bro sense.
The promise of AI – the promise AI companies make to investors – is that there will be AIs that can do your job, and when your boss fires you and replaces you with AI, he will keep half of your salary for himself, and give the other half to the AI company.
That's it.
That's the $13T growth story that MorganStanley is telling. It's why big investors and institutionals are giving AI companies hundreds of billions of dollars. And because they are piling in, normies are also getting sucked in, risking their retirement savings and their family's financial security.
— Cory Doctorow, The Reverse Centaur’s Guide to Criticizing AI
Tags: cory-doctorow, ai-ethics, ai
2025-12-08 05:28:17
Thoughtful guidance from Bryan Cantrill, who evaluates applications of LLMs against Oxide's core values of responsibility, rigor, empathy, teamwork, and urgency.
Via Lobste.rs
Tags: ai, generative-ai, llms, oxide, bryan-cantrill
2025-12-08 04:33:54
What to try first?
Run Claude Code in a repo (whether you know it well or not) and ask a question about how something works. You'll see how it looks through the files to find the answer.
The next thing to try is a code change where you know exactly what you want but it's tedious to type. Describe it in detail and let Claude figure it out. If there is similar code that it should follow, tell it so. From there, you can build intuition about more complex changes that it might be good at. [...]
As conversation length grows, each message gets more expensive while Claude gets dumber. That's a bad trade! [...] Run
/reset(or just quit and restart) to start over from scratch. Tell Claude to summarize the conversation so far to give you something to paste into the next chat if you want to save some of the context.
— David Crespo, Oxide's internal tips on LLM use
Tags: coding-agents, ai-assisted-programming, oxide, claude-code, generative-ai, llms
2025-12-07 02:30:56
The Unexpected Effectiveness of One-Shot Decompilation with Claude
Chris Lewis decompiles N64 games. He wrote about this previously in Using Coding Agents to Decompile Nintendo 64 Games, describing his efforts to decompile Snowboard Kids 2 (released in 1999) using a "matching" process:The matching decompilation process involves analysing the MIPS assembly, inferring its behaviour, and writing C that, when compiled with the same toolchain and settings, reproduces the exact code: same registers, delay slots, and instruction order. [...]
A good match is more than just C code that compiles to the right bytes. It should look like something an N64-era developer would plausibly have written: simple, idiomatic C control flow and sensible data structures.
Chris was getting some useful results from coding agents earlier on, but this new post describes how a switching to a new processing Claude Opus 4.5 and Claude Code has massively accelerated the project - as demonstrated started by this chart on the decomp.dev page for his project:
Here's the prompt he was using.
The big productivity boost was unlocked by switching to use Claude Code in non-interactive mode and having it tackle the less complicated functions (aka the lowest hanging fruit) first. Here's the relevant code from the driving Bash script:
simplest_func=$(python3 tools/score_functions.py asm/nonmatchings/ 2>&1) # ... output=$(claude -p "decompile the function $simplest_func" 2>&1 | tee -a tools/vacuum.log)
score_functions.py uses some heuristics to decide which of the remaining un-matched functions look to be the least complex.
Via Hacker News
Tags: games, ai, prompt-engineering, generative-ai, llms, ai-assisted-programming, coding-agents, claude-code
