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oril

What 2026 Building-Performance Requirements Reveal About Real Estate Data Infrastructure

Oct 15, 2026 By Eugenii Samarskyi In ORIL
2026 building-performance requirements increasingly depend on reliable property, meter, utility, and energy data, and that same normalized data can support compliance, reporting, analytics, and energy management. In 2026, several US jurisdictions reach building-performance deadlines, spanning recurring annual benchmarking, first-time compliance dates, and emissions-reduction requirements. The rules differ by jurisdiction, but many draw on the same property, meter, and utility records.
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appsignal

Making the Most of Your Logs in Rails

Oct 15, 2026 By Hans-Jörg Schnedlitz In AppSignal
Rails logs through Rails.logger — on Rails 8.1, a BroadcastLogger that writes tagged lines to STDOUT in production and to log/development.log in development. Six levels exist: debug, info, warn, error, fatal, and unknown; production defaults to info via RAILS_LOG_LEVEL. Good log messages are descriptive, carry context like request IDs, and become structured JSON when machines read them.
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speedscale

Observability Never Really Shifted Left

Oct 14, 2026 By Alan Mon In Speedscale
We made software development faster. Now we need to make validation faster, too. For the last decade we have shifted development left. Testing, security, performance, and CI/CD all moved closer to the developer. Observability mostly did not. It still starts after deployment (we covered the incident side of this in Your Observability Stack Found the Fire), which means the people writing the code rarely have meaningful production behavior to observe while they build.
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speedscale

Use AI and traffic replay to test AI-generated code

Oct 14, 2026 By Ken Ahrens In Speedscale
When I ask an AI agent to change code, I also want it to run the application and test what it changed. Asking it to write some tests is a start. But if it invents the expected responses from the same assumptions it used to write the code, those tests can miss the same mistake. Traffic replay gives the agent something concrete to test against: requests and responses captured from a working application. The agent can run those requests against its changes, inspect the differences, and repeat the test after a fix. I can open the same results and check its work.
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tricentis

Not all AI-generated tests are created equal

Oct 14, 2026 By Lizzie Stokes In Tricentis
In just a few years, developers went from barely using AI to, at some companies, using it for nearly all of their code. As development cycles compressed, QA was pushed into its own AI revolution: AI-generated tests are increasingly seen as a mandate, the only way to keep up with how fast code now ships. And yet, not all AI-generated tests are created equal.
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bitrise

Make React Native builds 4x faster with fingerprint-based caching on Bitrise

Oct 14, 2026 By Silvercast Nguyen In Bitrise
Build tools have relied on it for years to avoid redoing work that hasn't changed. In React Native CI it's still a bit of a secret sauce: a fingerprint-based caching technique that can make your builds several times faster, yet one that surprisingly few teams have switched on. The premise is simple: most of the time you're only changing JavaScript, so most of the native modules are reusable.
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How Snowflake's Paid Media Team Cut Reporting From a Week to Hours | AI Blueprint for Go-To-Market

Oct 14, 2026 By Snowflake Inc. In Snowflake
Mariam el Baghdady (Manager, Digital Marketing, Snowflake) shows how AI changed two of her most time-consuming tasks: weekly performance reporting and quarterly forecasting across 20+ countries. The old reality: spending hours formatting data just so she could talk about it. Now a weekly HTML report in CoCo flags what needs attention across channels and regions in minutes, and a forecast that used to take nearly a full week turns around in a fraction of the time. She also shares how she got there with no technical background whatsoever.
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Is Your AI Running Wild? #podcast #news #techshort #cloudsecuritypodcast

Oct 14, 2026 By Cloudera, Inc. In Cloudera
Is hands-off AI adoption turning your business into the "Wild West?" Handing out credit cards for unlimited tokens without proper guard rails is a recipe for failure. Discover why establishing best practices and security rails is essential as AI agents transform the enterprise.
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thoughtspot

Build an AI Analyst Your Team, or Your Customers, Can Trust

Oct 14, 2026 By Abhinav Singh In ThoughtSpot
You can get an AI Analyst from most of the players, or you can try to build one yourself. Fewer let you decide what it knows, what it can touch, and who can use it. And even fewer still let you define what it won't do. You need all three before you hand one to a team or put one inside your product. In most of the product experiences, your AI analyst's context had two homes: one expert's head, or org-wide instructions.
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