AI

AI coding token costs are on track to rival human payroll

Thus, enterprises struggle to forecast and control costs, and, because AI is moving so fast, many organizations lack the “maturity and frameworks” to determine...

Anthropic’s Claude Tag aims to turn workplace AI from a personal assistant into a teammate

“For engineering teams, Claude Tag will help reduce time spent on debugging through fragmented Slack discussions, summarizing long incident threads, pulling context across repos,...

Using Visual Studio Code’s ‘air-gapped’ AI model mode

Choosing a model for BYOK mode If you want to use a local LLM with VS Code’s bring-your-own-model system, the first thing you need is...

The missing layer in enterprise agentic AI

request = { "agent": "support-summary-agent", "task": "summarize", "dataset": "customer_support_logs", "model": "external_llm_api", ...

EDB converges analytics on Postgres to support AI agents

EDB’s per-core pricing model can make costs easier to forecast than consumption-based cloud data platforms, where query volumes, AI workloads, and data processing demands...

OpenAI rolls out AI-led push to fix open-source software flaws

“CISOs should demand a Safety Relevance Layer in their risk modeling, a structured framework that requires every AI-generated finding to pass automated verification, including...

GitHub Actions hardens checkout security to block ‘pwn request’ attacks

Blind spot If there’s a criticism that can be levelled at GitHub over this, it’s that it has taken so long to address a weakness...

AWS Continuum offers devs help with securing code

“The harder problem is no longer just finding issues, it is knowing which ones are real, which ones matter in their environment, and which...

Is Mistral late or savvy?

If Mistral is trying to be a French version of OpenAI, its lack of hyperscale compute is a fatal weakness. It won’t outspend OpenAI,...
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