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databox

MCP vs. API: What's the difference for AI analysis?

Oct 27, 2026 By Monise Branca In Databox
Businesses have long used APIs to connect their software applications and exchange data. These connections power many of the tools companies rely on for reporting, allowing them to bring information from different systems into one place and keep their reports up to date. Now, AI assistants like ChatGPT and Claude can connect to those same business applications through MCP (Model Context Protocol), making it easier to access information and perform tasks using natural language.
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databox

Why did our pipeline drop? How to find the cause in your HubSpot deal notes with AI

Oct 27, 2026 By Ziga Potocnik In Databox
Open pipeline drops when deals leave it (closed won, closed lost or pushed out of the period) or when fewer new deals come in. Your CRM dashboard shows which of those happened. The reason behind it sits in HubSpot, in the notes, emails and call logs on the deals themselves. To find it in one question, ask an AI analyst that can read both. With the HubSpot MCP connector, Genie, the Databox AI Analyst, traces the drop to the deals behind it and tells you what the reps wrote about them.
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databox

How to Measure the Impact of a Product Launch With AI and Your Notion Specs

Oct 27, 2026 By Ziga Potocnik In Databox
To measure the impact of a product launch, grade it against the target written in its spec. Every launch spec names a metric, a target and a time window. Once the window closes, the launch either hit that target or missed it. Before then, it’s too early to call. The hard part is getting the target and the result into the same view, because the target lives in Notion and the result lives on your dashboard.
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From Palette to Interface: Exploring Nodlume's Free Design Tools

From Palette to Interface: Exploring Nodlume's Free Design Tools

Oct 27, 2026 By SystemsDigest In SystemsDigest
Designing an interface means making decisions that need to work together. Colors establish emphasis, typography separates headings from supporting information, and spacing gives related elements room to form clear groups. A useful starting point is a small, reusable set of choices that you can test on a representative screen before applying them throughout a project.
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speedscale

Test and Mock GraphQL APIs Without Trusting the 200

Oct 26, 2026 By Matt LeRay In Speedscale
Replay a GraphQL recording at the server that produced it, and every request comes back 200 OK. Here is one of those 200s, from a Session query whose recorded token has expired: A GraphQL server reports most failures inside a successful HTTP response, so any check that stops at the status code passes this request. And that is the second way GraphQL hides from URL-shaped tooling.
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speedscale

Inside Kraken: Regression Testing With Traffic Replay

Oct 26, 2026 By Matt LeRay In Speedscale
A readiness check should make a release safer. During one release validation, ours kept Kraken’s traffic replays stuck in Initializing until they timed out. The operator was asking Kubernetes for EndpointSlices. Its installed permissions did not allow that request. The code needed a real cluster, the generated permissions, and a replay trying to start before that mistake became obvious. Kraken put those pieces together during release validation.
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speedscale

gRPC Mocks, Tests and Contract Checks From a .proto

Oct 26, 2026 By Matt LeRay In Speedscale
Change one field in a.proto from double to string, and nothing complains. The code compiles, the deploy goes green, and a service still built from the old contract keeps answering with a double. Here’s what Go’s protobuf runtime does when a client on the new contract reads that answer: No error. risk_score comes back empty, and the nine bytes of the double are tucked away as unknown fields.
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perforce

iPhone Duo Is Here: What Testing Teams Need to Know

Oct 26, 2026 By Perforce In Perforce
Apple’s first foldable iPhone is here. Your applications need to be ready for a screen that opens, closes, and runs two apps side by side. Perfecto has a long record of supporting new Apple releases, and the iPhone Duo continues it. In this post, you’ll learn what the iPhone Duo means for your testing strategy, how Perfecto helps your team test on it, and how Perforce Autonomous Testing keeps your tests working as devices change. Request Demo Back to top.
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How Astera Uses ARIA: Data Migration

Oct 26, 2026 By Astera Software In Astera
Moving the data is the easy part. Planning is where data migrations go wrong. Sudais (Growth Strategist) sits down with Nabeel Farooqui (Lead Software Engineer), to talk about how Astera uses ARIA on data migration projects, and what changes when you describe the goal to an agent instead of facing a blank canvas. Nabeel has run migrations with and without ARIA. He explains where projects usually go wrong, how ARIA handles the setup in Centerprise, how to validate the pipeline it builds, and the best practices he's learned along the way.
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