Systems | Development | Analytics | API | Testing

ably

Realtime steering: interrupt, barge-in, redirect, and guide the AI

Jan 21, 2026 By Faye McClenahan In Ably
Start typing, change your mind, redirect the AI mid-response. It just works. That is the promise of realtime steering. Users expect to interrupt an answer, correct its direction, or inject new instructions on the fly without losing context or restarting the session. It feels simple, but delivering it requires low-latency control signals, reliable cancellation, and shared conversational state that survives disconnects and device switches.
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speedscale

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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perforce

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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bitrise

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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kong

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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antino

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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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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