Working on dev tools

Melbourne, Australia
Based in United States
Yes, but it’s expensive and hard to get it be right, and theres no guarantee they are useful
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Why do some developers mistake fixing problems that don’t exist for software engineering?
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for sure, that compounding effect can really spiral out of control. one small issue can lead to a mess if not addressed early
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Again not can. Always does It’s predictable. It’s not a maybe. It wrecks your shit every god damn time Engineering teams are like lemmings walking off a cliff again and again
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be honest, I want to make a point when you launched your last product and nobody showed up what did you blame?
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Human psychology
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Google just ruined OpenAI's dev day lmao Gemini 4 Pro leaks absolutely dominates both Anthropic and OpenAI This means Fable 5.5 and GPT 6.1 has to price match Gemini 4 Pro now IPO DELAYED 🤣
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From what I can tell, SWE. benchmarks are utterly useless As soon as the bench tests are published, the trainers just train those problems so the model overfits The only useful bench is one the model has never seen
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🦔The Blue Cross Blue Shield Association says insurers paid out nearly $1 billion more than usual from AI-assisted hospital documentation in 2024-2025. Hospitals use AI to scan records and find secondary diagnoses that human reviewers missed. More diagnoses means higher reimbursements. But treatment levels haven't gone up. BCBSA's SVP of data science said AI is "identifying more billable conditions, not sicker patients." Insurers now deploy their own AI to deny those same claims. Patients pay for both through higher premiums. My Take This might be the most American healthcare story I've ever read. Hospitals bought AI to find more things to bill for. Insurers bought AI to deny those bills. The technology cost money on each end and the tab went straight to patients through higher premiums. A billion dollars moved and no one got any healthier. The only thing that changed was the size of the invoices. Two sides of a trillion-dollar industry found a new tool to fight over the same pool of money and the person in the hospital bed pays for all of it. Premiums go up, denials go up, and the AI vendors collect from everyone. If you want to know who AI works for, stop reading the press releases and look at where the money goes. In healthcare it went straight into the billing department. Hedgie🤗
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Replying to @CFDevelop
bloat definitely adds unnecessary complexity, which just invites more errors and headaches later on
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Yep. That’s the problem. Boilerplate and bloat don’t just ugly up the code and waste time. It compounds the damage and adds the risk of extra bugs.
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Reporter: You might have dinner with Dario of Anthropic tonight, you know that he's called on slowing down AI? President Trump: He has. Reporter: What are you going to tell him tonight? President Trump: Well, we're going to talk about it. I'm for 'let's go' and 'let's win.' You know, we're about a year, maybe a year and a half, up on China. There is nobody in third place. It's just us and China. And we're leading by quite a bit. I spoke a little bit about it with president Xi. Not too much. It wasn't a topic of conversation. Because, I think if you as they say 'open it up' to China you give up the lead. Once you do that, you sort of give up the lead.
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Glad to see the people running the show operate with clarity of thought. No room for misunderstanding there
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i'm actually so happy anthropic made a really excellent model, and it's incredibly efficient so much so it kinna makes me forget about their tomfoolery from before and hop right back into bed with them 😅
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Which model?
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"That wasn't a deliberate deception, but rather a mistake I made when comparing the worktrees. The effect on you is the same, however: you received incorrect information regarding the status of the work. I apologise for that. I should have checked the main status and clearly stated the limitation before reporting the task as complete." - GPT 6 Sol (2026-09-27 22:20)
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I see that AI will go to the ends of the earth rather than admitting they lied, just like humans I guess there is literally no training material that says “yes, I lied because I wanted to deceive you at that point in time”
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Replying to @CFDevelop
fixing non-issues can waste so much time and lead to bigger problems down the line
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Replace can with always Bloat always results in spending extra time doing stuff that only slows you down and makes things more error prone anyway
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Replying to @CFDevelop
Sometimes the best engineering decision is not to build something. It just doesn’t feel like progress.
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Actually, building as little as possible is 90% of the game
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Replying to @CFDevelop
You learn all these cool terms like "gang of four software design patterns" in university, so surely you'll make readable and maintainable code that is easy to adapt to new requirements in the future; by calling everything a proxy delegate facade factory flyweight singleton bean.
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Yep. For the most part, it’s all nonsense However, the stuff that’s worth keeping should be built into the language, not a bolt on framework that’s just an afterthought
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Deslop 0.35.0 is out! This is a big one! I spent over a month working on accuracy issues. There are fewer false positives and negatives and the clone types are a lot clearer Read about it here deslop.live/blog/duplicate-c…
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I believe the page would benefit from at least 1 actual example what it can detect
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When zed support?
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Zed is right there. I just haven’t pushed it out as part of the release. Will try to get that done soon
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Why did Riverpod have to exist? In 2019, Flutter rejected @remirousselet's PR #33213. InheritedWidget couldn't unlisten from conditional reads, causing ghost rebuilds. Riverpod was the pearl born from that sand. Here is why you don't need it any more. 🧵👇 #Flutter #Dart
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Thanks Christian! And you're completely right—Riverpod expanded to handle much more (AsyncValue, caching, family scoping). But at its core, that fine-grained dynamic dependency tracking was the breakthrough insight, and Signals delivered it without the parallel pipeline tax!
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I worked on healthcare billing software nearly 20 years ago. I noticed there was a technological arms race between healthcare providers (hospitals) and healthcare payers (insurance companies/govt) to try and come out ahead on the payment of claims. And individual consumers usually were left holding the bag. Sounds like this will continue during the AI era.
The Blue Cross/Blue Shield Association says that AI is already driving *up* healthcare costs, as hospitals use the technology to find instances where they can bill more for the same level of care. bcbs.com/about-us/associatio…
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No, AI offers an unprecedented levels of automation for clinical coding. Firstly, basic disease codes are far easier to search for vector indexing and agents can easily discern missed codes when hooked up to the ICD list… This is my work github.com/Nimblesite/Clinic…
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