Systems | Development | Analytics | API | Testing

4 Signs Your AI has a Context Problem, Not a Model Problem

Most AI agents can write SQL. The problem is they write it against the wrong definition of revenue, for the wrong team, using the wrong business rules, and you won't catch that in a demo. Before you evaluate a single semantic layer vendor, there are four things worth getting right first. The semantic layer market has never been more crowded. Every major analytics vendor, data platform, and BI tool now claims to have one.

Add an App With Your Coding Agent

You can now ask your coding agent to set up AppSignal in your application. Give it a prompt, let it follow the installation instructions, and watch a checklist fill in as data starts arriving. Installing AppSignal was already straightforward, but it still meant checking your environment, adding the right integration, creating an app, handling credentials, and confirming that telemetry arrived. These are useful checks, but they don't all need your attention.

TikTok Downloader: save TikTok videos and stories in your browser

SSSTik is a TikTok Downloader that runs in your web browser. Paste a TikTok link to get a direct link to the video file. When TikTok has a watermark-free version of the video, SSSTik makes it available to download. You can save TikTok videos on a phone, tablet, or computer without installing an app or creating an account.
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Imaginary Test Data. Real Token Bill.

Ask an AI for K-pop concert advice without saying the group, city, date, or budget. It may confidently send you to a BLACKPINK tribute night in Cleveland with a $400 resale ticket. The AI was plenty confident. It just had nothing real to go on. That is exactly what happens when developers test AI applications with invented traffic. The test may look reasonable. The result may even pass. But when real users arrive, with messy histories, incomplete inputs, odd request sequences, and unpredictable timing, the application has to improvise. And improvising is expensive.

How to Use ChatGPT Codex on Mac for the First Time #shorts #aicoding #aidevelopment #iosdev

Never used Codex before? This beginner tutorial shows how to start using OpenAI Codex on a Mac, step by step, after it is installed. What you'll do: Commands from the video (replace the path with the one you copied; your folder path will be different): cd /Users/yourname/Desktop/codex-practice codex First prompt: Create a text file named hello.txt with the words "My first Codex file." Tell me where you saved it.

Post-M&A Data Integration: How Real Estate Companies Consolidate Data After an Acquisition

A real estate acquisition often brings another data environment with it. That can mean a second CRM, a second PMS or ERP instance with its own chart of accounts, and a second set of property and client IDs that were never built to reference each other. Add in a spreadsheet or two, built to keep the two businesses reporting the same numbers in the meantime, and the picture gets messier still.

Stop Moving Enterprise Data: A Better Way to Run AI

Copying enterprise data to run AI is officially dead. Most platforms force you into a risky "lift and shift" trap—shuffling petabytes of protected data into the public cloud, exposing sensitive PII, and burning budgets on massive egress fees. As we’re on the ground with ServiceNow in Chicago this week, we’re taking a closer look at how the Cloudera Workflow Data Fabric Zero Copy Connector for @ServiceNow helps AI agents query governed data directly where it resides — enabling organizations to automate workflows while reducing the cost, complexity and risk of data movement.

Scaling Borderlands 4: Cloud Builds, CI/CD, and the Hidden Costs of Success

Three years after discussing Gearbox's cloud-based build pipeline with the P4 team, Steve Fortier and Phillip Peterson return to share what happened as Borderlands 4 grew from a secret project into a live game. As the team grew to support more branches, patches, and ongoing content, they encountered new challenges in P4, AWS, TeamCity, and Unreal Game Sync that only emerged on a massive scale. From symbol servers and workspace management to AWS storage and snapshot performance, they walk through the troubleshooting process behind several unexpected bottlenecks.

Bitrise maintains SOC 2 Type II compliance with a successful 2026 assessment

At Bitrise, we continually invest in security best practices to ensure that our customers' data stays safe and secure. As part of this ongoing effort, we are pleased to announce that we have successfully completed our 2026 SOC 2 Type II assessment, with no exceptions recorded in the final report. The report covers the period from July 1, 2025 to June 30, 2026 and is valid until June 30, 2027.