Analytics
Datadog Launches Experiments to Bridge a Costly Gap Between Product Testing and Observability Data
Datadog, the Cloud Monitoring as a Service company, today announced the launch of Datadog Experiments – a new product that enables teams to design, launch, and measure product experiments and A/B tests directly within its platform. The aim is to give teams the insights they need to “understand how every change affects user behavior, application…
Kilo targets shadow AI agents with a managed enterprise platform
Kilo has launched KiloClaw for Organizations, a managed version of its OpenClaw platform aimed at enterprises seeking more control over how employees deploy AI agents for tasks such as repository monitoring, email drafting, and calendar management. Co-founded by GitLab co-founder Sid Sijbrandij and Scott Breitenother, Kilo is building open-source coding and AI agent tools and…
MR Group Announces New Headquarters and Launch of RETAiX Retail Analytics Platform – TMX Newsfile
MR Group Announces New Headquarters and Launch of RETAiX Retail Analytics Platform TMX Newsfile Go to Source Author:
Meta shows structured prompts can make LLMs more reliable for code review
Meta researchers have developed a structured prompting technique that enables LLMs to verify code patches without executing them, achieving up to 93% accuracy in tests. The method, dubbed semi-formal reasoning, could help reduce reliance on the resource-heavy sandbox environments currently required for automated code validation. The development comes as organizations look to deploy agentic AI…
UToledo Launches Online Master of Applied Business Analytics Program – news.utoledo.edu
UToledo Launches Online Master of Applied Business Analytics Program news.utoledo.edu Go to Source Author:
A GitHub tinkerer teaches Claude to talk less, and that may matter more than it seems
In a quiet corner of GitHub better known for weekend experiments than paradigm shifts, Drona Reddy, a data analyst at Amazon US, has published a single markdown file that promises to cut Claude’s output token usage by more than half, not by changing code, but by reshaping the model’s behavior. The file, called Claude.md and…
A GitHub tinkerer teaches Claude to talk less, and that may matter more than it seems
In a quiet corner of GitHub better known for weekend experiments than paradigm shifts, Drona Reddy, a data analyst at Amazon US, has published a single markdown file that promises to cut Claude’s output token usage by more than half, not by changing code, but by reshaping the model’s behavior. The file, called Claude.md and…