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speedscale

The Three Pillars Were Built for Humans

Jun 30, 2026 By Matthew LeRay In Speedscale
It was 2am and I was paying for the privilege. Something was on fire in production, and I’d done the modern thing: I pointed an AI agent at it. It ingested the dashboards. It read the logs. It walked the traces. Then it handed me back a beautifully formatted paragraph that said, in effect, “latency is elevated on the checkout path.” I knew that. The page told me that.
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rollbar

Ruby vs. Python (Why Python Won and Ruby Didn't)

Jun 30, 2026 By Rollbar In Rollbar
In 2006, the TIOBE Index crowned Ruby its Language of the Year for posting the fastest growth rate of anything on the list. Two decades later, it's settled in around - respectable, but a long way down from where it once stood. Ruby went from "the future of programming" to "wait, people still use that?" within a single career. This isn't a eulogy, though - stick around, because Ruby is very much alive, just not where the headlines are looking.
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Perforce Autonomous Testing: One Test, Total Coverage

Jun 30, 2026 By Perforce In Perforce
What if testing could finally keep up with your release speed? With Perforce Autonomous Testing, teams can simply describe what they want to validate, and AI takes care of execution, orchestration, and analysis across functional and performance testing. Built on a unified testing platform, Perforce brings everything together into a single workflow to eliminate manual setup, reduce reliance on specialists, and deliver faster, in-sprint feedback.
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ably

AI chat stream resumption: when Redis is enough, and when you need durable sessions

Jun 30, 2026 By Madeleine Quinn In Ably
There's a well-worn path to resumable AI chat streams: find the Vercel SDK docs, implement Redis-backed replay, and ship it. For many products, that's the right call. The challenge arises when the product goes further than that. AI customer support tools that handle complex queries over 30-plus seconds. Agents that keep working while the user switches from their laptop to their phone.
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astera

Foundation First: Why Model-Agnostic Data Platforms Win

Jun 30, 2026 By Hira Asif In Astera
In 2024, two of the largest data platform companies, each with billions in revenue and dedicated AI research teams, invested in building their own foundation models. One spent roughly $10 million training a 132-billion parameter model on 3,072 NVIDIA H100 GPUs. The other released a 480-billion parameter model optimized for enterprise tasks like SQL generation and code. Both achieved strong results within their compute class.
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ThoughtSpot June Release: Customize Your Agent

Jun 30, 2026 By ThoughtSpot In ThoughtSpot
Check out what’s new in ThoughtSpot’s latest release! SpotterModel gets smarter: Build complex data models with AI formula suggestions and instant version rollbacks if you make a mistake. No stress, no lost work. Spotter Instructions: Fully customize Spotter’s persona, formatting rules, and strict guardrails. It says exactly what you want it to say—and nothing it shouldn't. Ad Hoc Analysis: Drop local files directly into Spotter for instant answers, or blend them safely with your governed enterprise data.
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