The first thirty days of an AI inside my editor
Thirty days of letting an agent actually drive, write the code, run the tests, fix the failures, and then noticing the patterns in what changed. Not the productivity story. The discipline story.
Claude Code is here: what it means for IDEs
A coding agent shipped by the model maker, built around the terminal rather than the editor. Worth working through what's actually different about that shape, and what it implies for the IDE category.
The cloud bill nobody talks about: "free" AI features in your SaaS
Every SaaS vendor shipped AI features last year. Most of them are billed as included. They are not free, they are baked into the seat price, and the seat price is moving.
GPT-4.5 vs Claude 3.7 vs Gemini 2.0: a cloud architect's take
Three frontier models on the table at the end of February, three different bets about what "frontier" means. The interesting comparison isn't who wins, it's who fits which workload.
What "thinking models" do to your context-window math
Reasoning tokens have to live somewhere. The somewhere is your context window. Worth working through what the budget actually looks like once you stop pretending output is the only thing that costs.
Claude 3.7 Sonnet: the new defaults of "extended thinking"
Anthropic shipped a model that knows when to think. The interesting question isn't the benchmark numbers, it's what happens when reasoning becomes a default behavior instead of a separate product tier.
What "Knowledge as a Service" actually meant: and why DeepSeek made it cheap
An idea sketched two years ago assumed expertise-as-licensable-artifact would be a premium-tier product. The economic floor just dropped through that assumption. Worth re-examining what the idea was actually about now that the substrate has changed.
Self-hosting open weights at home: what 2025 actually requires
The open-weights frontier is genuinely usable from a home rig now. The bottleneck has moved, it isn't capability anymore, it's memory bandwidth and patience.
Stargate, $500B, and what the bill is actually for
The Stargate announcement was a number, a podium, and a four-year horizon. Underneath those there's an actual procurement plan worth understanding, and one that exists in tension with what got proven the day before.
Why a $5M training run rattled three trillion in market cap
The DeepSeek-R1 number is small. The market reaction wasn't. The interesting bit isn't the dollar figure, it's which assumption it broke.
The DeepSeek-R1 reality check, one week later
A week ago, an open-source reasoning model erased about a trillion dollars of market cap. Most of the takes from week one are already wrong. Here's what actually changed.
Cloud waste at the IaC layer: catching it before merge
Most cloud-bill surprises were visible at PR time. The plan output knows the resource shape, the region, the size, and what the cloud charges for it, and you can read that out of the plan-json before anything ships. Here's the pattern, what it catches, and what it can't.