Is Claude Mythos “Terrifying”? (According to Experts: No.) YouTube video by Cal Newport

I found this analysis of Mythos to be good. youtu.be/k-8stQCeQiE?...

Can the @markhamillofficial.bsky.social please make May the 25th a thing?

At $25/$125 per million tokens, Mythos Preview is 5x the price of Opus 4.6 ($5/$25). Anthropic seems to be setting the stage for the next pricing tier that will be closer to $500 - $1,000 per developer per month plus overage. Is the potential 10% productivity gain worth it?

My impression is that the models get lazy and apply less reasoning to save on compute time. I found this study that suggests the performance varies by infrastructure load throughout the day or week. arxiv.org/html/2602.15...

Why does it seem like every new model release starts out feeling like a big improvement, but slowly gets worse over the course of 2 or 3 months to the point they are almost unusable? Are my expectations just changing, or is model degradation a real phenomenon?

AI Mandates and the Erosion of Psychological Safety AI mandates make honest feedback professionally dangerous, putting successful adoption at risk. What engineering leaders owe their teams when mandates arrive from above.

I wrote up some thoughts on the impact of AI mandates in software engineering. invoke.dev/ai-mandates/

The silver lining to Anthropic accidentally leaking the source for Claude Code is that actual humans are now reviewing the code, perhaps for the first time.

Some refer to this as Productivity Theatre - the appearance of work without the substance.

Is it possible to create an AI coding tool that doesn't suck and instead actually makes you better at writing code?

Why does it always seem like the latest models everyone praises when they are released become dumber and less useful after a few weeks?

The gaslighting from politicians and executives is one thing, but paying for an AI that gaslights rather than following instructions is asking too much.

Once pricing is no longer subsidized and we factor in the costs of process redesign, governance, rework, reliability issues, and skill erosion, I have to wonder if the 10% increase in productivity will justify the total cost of ownership for agentic engineering.

I think that is the question most developers are asking themselves. I want to believe that the tools will evolve to be more of a true augmentation of engineering skills rather than a replacement. I don’t know what that looks like yet.

In developer experience, we used to talk a lot about the importance of maximizing Flow or deep work time for engineers. This was one of the core productivity metrics we measured. Is Flow even possible for the human in agentic engineering, and does it still matter?

RIP Sora - You won't be missed.

What is likely to happen when most Fortune 500 companies and software engineering organizations are completely dependent on AI to run their business, and AI subsidies have run out?

AI isn't demand-driven. It is aspiration-driven. They assume more compute is the answer to AGI. Experts agree the current architecture doesn't lead to AGI, and there's no evidence these companies are actually working toward it. They're just redefining AGI to fit their business model.

I'm no economist, but I don't think government handouts should go to companies to build tools with the express intent to eliminate jobs.

AI promises abundance.

So far in 2026:
— 38,000 jobs eliminated in the name of AI
— No economy-wide productivity signal (Goldman Sachs)
— RAM up 50%. GPUs heading to $5K.

The federal response:
— $55B in new tax breaks for hyperscalers

The abundance is real. It's just not evenly distributed.

AI productivity gains are 10%, not 10x Preliminary data from our longitudinal AI impact study

@getdx.bsky.social tracked 40 companies over 15 months to understand real world impact of AI. Usage is up 65%, but despite the hype, productivity gains are realistically closer to 10%, not 10x.

newsletter.getdx.com/p/ai-product...

@addyosmani.bsky.social makes a good case for being deliberate with AGENTS.md. Auto-generated context duplicates what the agent already discovers on its own, and research shows that hurts performance. Save it for tooling gotchas and non-obvious conventions. addyosmani.com/blog/agents-md/

Can we skip the "AI-native" phrasing? Next thing you know, companies will be putting it in job postings. It is a nonsense term.

Don't anthropomorphize computers. They hate that.

Hey @mubashariqbal.com please add: go.bsky.app/32NPHXw

Hey @blueskystarterpack.com please add: go.bsky.app/32NPHXw

Context Engineering for AI-Assistant Development A four-layer approach to organizing project knowledge, tools, hooks, and skills so they work across AI coding tools without maintaining parallel configs.

Agentic coding tools need project knowledge, conventions, and domain expertise loaded into every session. I've settled on a four-layer context architecture. One source of truth that is portable across agentic coding tools. invoke.dev/context-engi...

asc — App Store Connect CLI A fast, lightweight, and agent-native CLI for App Store Connect. Xcode to App Store, automated.

Doubling down on asccli.sh for indie devs. What should I add or improve next?

This article is lacking context. These cuts come on the heels of articles in both Inc and Wired about poor employee morale at Block and frustration with Jack. www.inc.com/kevin-haynes...

Inside the Rolling Layoffs at Jack Dorsey’s Block Workers describe a deteriorating culture at Block, the company behind Square and Cash App, where layoffs continue and employees are expected to use AI tools daily.

Why did this article not mention that this comes on the heels of articles in both Wired and Inc about the poor employee morale stemming from burnout and frustration with Jack Dorsey's leadership? www.wired.com/story/inside... www.inc.com/kevin-haynes...

Oh no... what have we done...