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Peeking Under the Hood with Claude Code

Jan 20, 2026 By Matthew LeRay In Speedscale

Claude is one of the go-to AI-native code editors for developers. Because it's a simple chatbot interface housed inside a familiar CLI, it provides a pretty smooth path between traditional IDEs and agentic AI. But what's actually happening behind the scenes when you ask it to write code, generate a test, or debug an issue? Who and what is it talking to behind the scenes? Can I prevent data leakage or do I need to add another layer to my tin foil hat? To answer these questions, I used proxymock to inspect the network traffic flowing from the Claude IDE.

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Speedscale

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Talk to Your Test Data: Improve Test Data Management with the Perforce Delphix MCP Server

Jan 20, 2026 By Perforce In Perforce

Many technology leaders face a persistent bottleneck: delivering the right data to the right people at the right time. Despite significant investments in test data management and automation, developers often wait for database refreshes, compliance checks, and answers from infrastructure teams. These delays directly reduce development velocity. A recent shift has occurred in how developers work. AI agents, such as Claude Desktop and Cursor, are now essential coding tools.

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Perforce

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From suggestions to fixes: How Bitrise AI lets teams ship faster with control

Jan 20, 2026 By Daniel Balla In Bitrise

For many developers, AI coding assistants are already as fundamental as a terminal window or version control system. Data from DORA shows that 90% of IT professionals are using AI at work. StackOverflow’s 2025 Developer Survey found that over half of professional developers use AI daily.

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Bitrise

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Ably AI Transport is now available

Jan 19, 2026 By Faye McClenahan In Ably

Today we’re launching Ably AI Transport: a drop-in realtime delivery and session layer that sits between agents and devices, so AI experiences stay continuous across refreshes, reconnects, and device switches - without an architecture rewrite.

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Ably

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AI isn't the problem. Your data is. #speedscale #observability #devops #programming #aicoding

Jan 19, 2026 By Speedscale In Speedscale

Stop asking AI to analyze production data without context. If you want AI to write better code, you have to feed it the right data. Learn how at speedscale.com.

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Speedscale

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Pre-Training vs Fine-Tuning vs RAG: Which AI Approach Fits Your Business in 2026?

Jan 16, 2026 By Radhakanth Kodukula In Antino

Every organization today is racing to embed AI into its core, yet the real question isn’t which model to choose, but how to build an AI capability that truly aligns with your business goals. Should you invest months in training a proprietary model to gain full control and differentiation? Or would adapting a pre-trained model strike a better balance between performance and time-to-market?

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Antino

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Agentic AI Integration: Why Gartner's "Context Mesh" Changes Everything

Jan 16, 2026 By Alex Drag In Kong

Gartner just published research that should be required reading for every platform and infrastructure leader building for the agentic era. The report, "How to Enable Agentic AI via API-Based Integration," makes a stark claim: incrementally reworking existing APIs and connector-based integrations for AI agents is no longer sufficient.

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Kong

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Snowflake Ventures On Accelerating Startups In The AI Data Cloud

Jan 15, 2026 By Snowflake Inc. In Snowflake

In this interview, Stefan Williams, VP of Corporate Development, shares Snowflake Ventures’ top priorities and why the pace of innovation across the AI Data Cloud matters for startups. Learn how native platform capabilities, including Cortex Search, Cortex Analyst, and the Cortex REST API, help reduce complexity and unlock faster innovation. The Snowflake ecosystem is where startups gain secure, trusted access to data and the opportunity to work with some of the world’s largest customers.

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What is an MCP for Kafka with Tun Shwe

Jan 15, 2026 By LensesIO In Lenses

AI agents are only as good as the data they can access. In this video, we explore the Model Context Protocol (MCP) and how it creates a bridge between AI models and Apache Kafka. Learn how MCP allows AI agents to securely produce, consume, and manage Kafka topics in real-time—transforming your event streams into actionable context for LLMs.

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Lenses

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Making AI Work in Real Teams. Operationalizing AI Explained | Melissa Tondi

Jan 14, 2026 By The Test Tribe In The Test Tribe

Let's talk about the real-world journey of operationalizing AI—what it looks like behind the scenes when you’re scaling solutions, building support systems, and doing it all with a lean team. There are plenty of brilliant AI experts—folks doing deep work, research, experimentation, and implementation. This session complements and focuses on how to operationalize, centralize and scale your team, organization and company!

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