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speedscale

Flamegraphs Find It. Replay Proves It.

Aug 11, 2026 By Matt LeRay In Speedscale
I made an API endpoint 13 times faster. Then I realized my first verification only checked the status, headers, and response schema. I had not checked the totals. I had made the bug faster. That is the problem with giving an AI coding agent one kind of evidence. A CPU profile can show where the application is slow, but not whether an optimization preserves behavior. A traffic replay can prove that behavior stayed stable, but not explain why the code burns CPU. This walkthrough gives the agent two independent witnesses: Together, they turn AI code verification into an experiment with two independent checks.
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spike

We made our blog easier to read

Aug 11, 2026 By Sreekar In Spike
Two weeks ago, we asked ourselves a simple question: How can we improve the reading experience of Spike’s blog? There are about two hundred articles on the blog, covering alerting, on-call, incident response, and more. Kaushik and I discussed each of these topics thoroughly before turning them into articles. But when someone landed on the blog, they couldn’t easily discover these articles. It was mostly one long scroll, and though we had some categories, they weren’t organized well.
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Incident.io

We turned off Pub/Sub and nobody noticed

Aug 11, 2026 By Engineering In Incident.io
Like many modern software stacks, the incident.io platform is predominantly event-driven. For example, whenever you send us an alert, post a message to our agent on Slack, or update an entry in your Catalog - these are all events that then get enqueued on a message topic, meaning any of our downstream components that are interested in that event can subscribe and react asynchronously, such as sending a push notification or posting a reply to you in Slack.
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cortex

DRIVE vs SPACE: What each framework measures and when to use them

Aug 11, 2026 By Ganesh Datta In Cortex
When Nicole Forsgren, Margaret-Anne Storey, and their coauthors published "The SPACE of Developer Productivity" in 2021, they settled an argument the industry had been losing for years. Productivity is not one number, and it is not a proxy like commits or story points. It is multidimensional, and any attempt to flatten it into a single metric will mislead you. Most of what came after in developer productivity measurement builds on SPACE. SPACE and DRIVE were built for different jobs.
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gitkraken

An 80% AI Adoption Rate Is Like an 80% Gym Membership Rate. It Doesn't Prove Anyone Got Stronger.

Aug 11, 2026 By Jade Nangah In GitKraken
Leadership has stopped asking whether your team is using AI. They’re asking what you’re delivering with it. That’s a harder question, because most of the numbers teams have been reporting, adoption rate, seats activated, prompts run, don’t actually answer it.
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upsun

Don't build the autonomous AI factory first

Aug 11, 2026 By Upsun In Upsun
Here's a scene playing out in engineering teams right now. An engineer spends the weekend running four or five coding agents in parallel. Monday morning, a teammate opens their laptop to 53 changed files with 2000+ diffs and a message that says, more or less, "should be good to merge." Nobody asked for this much output. Nobody has time to review it properly. The team doesn't feel faster. It feels ambushed.
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civo

Data localization for Indian Fintech: RBI rules and your cloud choice

Aug 11, 2026 By Civo Team In Civo
Indian fintech operates under one of the most specific data localization regimes in the world. The Reserve Bank of India has published progressive guidance since 2018 requiring payment system data to be stored in India, with subsequent extensions to other categories of financial data. The rules aren't optional. For fintechs operating in India - whether payment providers, lending platforms, wealth managers, or neo-banks - the localization requirements shape fundamental infrastructure choices.
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circleci

Starting your engineering career in the AI era: 6 takeaways for junior developers

Aug 11, 2026 By Jacob Schmitt In CircleCI
“We don’t need junior engineers anymore” has become one of those lines people repeat because it sounds obvious. The AI writes the code, so why pay someone to learn how to write it? On the latest Confident Commit podcast, Rob Zuber makes the case that this take is exactly backwards.
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