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This week half my feed is people switching AI models. A new one drops, the old one gets throttled, everyone re-evaluates their setup. It happens every few weeks now. Watch those threads long enough and you notice the real complaint underneath. It is not the model. It is that switching costs you ever
When Your AI Assistant Gets Hijacked Mid-Flight If you've handed your coding agent an automated task and walked away, this story should make you a little uncomfortable. A developer recently shared an account of their coding agent nearly being taken over by a prompt injection attack — encountered dur
Full LOOM Language Report For example, a function may claim to be pure: Current Capabilities General Programming LOOM already supports: signed integers; arithmetic; comparisons; if expressions; local let bindings; named functions; anonymous functions; recursion; first-class functions; closures; list
AI coding agents are becoming more useful, but they still need context. A generic agent can write code, explain files, and generate boilerplate. But when you ask it to work with a specific platform, framework, or internal system, it often misses conventions, syntax rules, and runtime details. That i
A few hours ago, Chinese delivery app company Meituan officially unveiled LongCat-2.0 on GitHub, Hugging Face, and its native platform, unmasking the model as the computational engine behind "Owl Alpha," the anonymous stealth model that has spent the last two months commanding global developer chart
VCs remain thirsty to fund AI coding startups. This one, founded by investor Chamath Palihapitiya, is no exception.
Your AI coding tool is powerful, but make sure you use it right.
Enterprises are facing the challenge of rising costs from LLM usage and there is easy fix to this problem.
Your coding agent writes HTML all day. A quick dashboard to eyeball some data. A PR writeup with a rendered diff. A status report, a Mermaid diagram, a one-off internal tool. Then what? You screenshot it into Slack, paste it into a gist, or spin up a Vercel project for a file you will delete tomorro
Your agent wrote valid code. It still missed the point. Wrong package manager. Tests run with a flag your pipeline never uses. Business logic landed in a route handler because the model found a similar file three folders away. You pasted more context, tightened the prompt, ran again. Same failure on
Copilot gives juniors the speed of a mid-level dev with the judgment of an intern. That's not a compliment to anyone involved. I have been assessing PRs submitted by junior developers for some time now, and I noticed a change in the last year. The code appears to be more neat. It is delivered more q
Last month, a post on r/ExperiencedDevs went viral: a company spending $1 million per month on AI API costs. Layoffs wouldn't even make a meaningful dent. The painful part? They couldn't force teams onto cheaper models because quality genuinely dropped on complex tasks. Sound familiar? We faced the
