The bottleneck in software development has moved. Code generation adoption is now nearly universal among product and engineering leaders.
The story now is what's happening everywhere else. As teams seek to optimize throughput and quality across the full lifecycle, review and validation are emerging as the new constraint.
This week, Madrona Venture Partner Ted Kummert shared highlights from Madrona's Builders Community survey, which we ran ahead of our recent Builders Summit. We surveyed 49 leaders whose organizations collectively employ over 10,000 engineers → early-stage through large public-market teams.
→ Code review usage more than doubled in a year.
→ 57% of engineering leaders say validation & code review is a top bottleneck.
Ted shares more on why this moment rhymes with CI/CD and what engineering teams need to think about here: https://t.co/yMKYz24z0Y
Everyone keeps saying AI gives them garbage. Anthropic just proved the problem is you, not the model.
This 24 minute video rebuilds one prompt from useless to flawless. Save it for the evening with tea - now that Opus 4.8 is here, getting this is everything.
Nvidia will now pay you to put a mini AI data center on your house
It looks like a normal AC unit in the yard.
But inside sits 16 Nvidia Blackwell GPUs and Dell servers.
A startup called Span builds them, backed by Nvidia.
They bolt onto your home and you get paid for the power and Wi-Fi.
Some estimates put that around $1,000 a month in your pocket.
That is rent money just for hosting a box outside.
Span says it deploys way faster and cheaper than a real data center.
The AI boom is literally moving into the suburbs.
Save this, the grid is getting rebuilt in real time.
Excited to share Radix Vue v2!
⭐️ Rebrand: Radix Vue ➡️ Reka UI!
▶️ Refactor form component for better `v-model` familiarity
🎛️ Expose more internal component/utility/slot
📋 Better support for virtualization
and more! 🧵
First, just being able to query the data like in datadog pgAdmin etc and have the schema be represented in @ApidogHQ
We use @prisma and additional feature like schema prototyping and visualising all schema relationships in a particular db would help immensely across a larger team…
With this in place, using AI to analyse and ask questions about your schema and data… inefficient schemas, missing indexes etc…
OpenAI’s new o1 models are available in Cursor!
We’ve found o1 to be excellent at well-specified, reasoning-intense problems. We still recommend sonnet/4o for most tasks.
We’re initially rolling out the models with usage-based pricing but will iterate as rate limits increase.