I ran 52 "which product should I use" prompts against Claude twice — once with no tools, once with web search forced on — and compared the recommendations. Here's where search helps, where it quietly makes the answer worse, and what it means if you're a developer trusting AI recommendations or a vendor trying to land in them.
Scott Chacon (GitHub co-founder) and Thomas Dohmke (former GitHub CEO) both left GitHub and raised massive funding rounds to fix how developers work with AI-generated code. Here's what they're building.
How Vercel, Netlify, Resend, and Mintlify approach Agent Experience, where their definitions fall short, and a framework for measuring AX properly.
A four-stage agent experience audit of Freestyle — testing discoverability, onboarding, integration, and agent tooling, with a competitor comparison.
We tested Prefect's agent experience across four stages (discoverability, onboarding, integration, and agent tooling). Here's every score and what it took to get there.
I tested DocuSign's agent experience across four stages (discoverability, onboarding, integration, and agent tooling). Here's every score and what it took to get there.
A practical framework for testing whether AI agents can discover, onboard to, and integrate your developer platform — with Kestra as a worked example.
Everyone complaining that MCP is overengineered and unreliable is right — but for the wrong reasons. MCP works well for two things: GUI client integrations and documentation servers. It's a bad idea for developers wiring up tool calling in agent code. Here's the distinction nobody is making.
Anyone can build apps, write content, and generate art now. But software that actually delights users is as rare as ever — and trust is the only way to find it.
Signing up for Heroku takes 9 screens and requires MFA enrollment, a 15-character password, and Salesforce Terms of Service. Railway takes one click. Here's a side-by-side comparison.