Docker Compose aims to make AI agent creation a breeze
Docker has expanded its Compose tool to support AI agent architectures through YAML files, alongside new offl...
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Mistral AI launches Codestral 25.08 and complete coding stack
With Codestral 25.08 and a complete coding stack, Mistral AI aims to accelerate the enterprise adoption of AI...
Developers frustrated with AI-generated code
76 percent of developers do not use vibe coding, whereby entire pieces of code are automatically generated by...
Dynatrace makes Grail the core of latest generation of platform
Dynatrace has announced a new generation of its observability platform. With this third iteration, the compan...
Usage restrictions for Kiro after unexpectedly high demand
Amazon Web Services (AWS) is introducing usage restrictions for Kiro, the AI editor currently available in pr...
JetBrains speeds up Junie agent by 30%, adds MCP support
JetBrains has announced major updates for Junie, the AI coding agent that helps developers generate code. The...
JFrog launches MCP Server for AI-driven development workflows
JFrog has introduced a new Model Context Protocol (MCP) Server that allows AI assistants and large language m...
OutSystems launches Agent Workbench for enterprise AI agents
OutSystems announces the early access program for Agent Workbench, a platform that enables organizations to d...
AWS introduces agentic IDE that brings prototypes to production
Amazon Web Services (AWS) is introducing a new AI-driven development environment, called Kiro. It is an agent...
AI slows down the productivity of professional developers
AI tools do not make experienced developers more productive. Contrary to what many developers expect (and exp...
AI saves development time, but inefficiencies still cause losses
A new Atlassian study reveals a paradox. Developers may save up to 10 hours per week with AI tools, but lose ...