Claude IA

The convergence thesis

Here's what I find fascinating: PAI, Claude Code, OpenCode, MoltBot—they're all arriving at the same patterns independently. Skills. Hooks. Memory. Agent orchestration. Context priming. This convergence tells us these aren't arbitrary design choices. This is what the architecture of a Personal AI system actually looks like. The seven components aren't my opinion. They're what everyone keeps rediscovering. The question isn't whether these components are right. It's how quickly we can mature each

16 juil.

Scion: The orchestration system

Run multiple AI agents in parallel, each in its own container with isolated workspaces. Orchestrate Claude Code, Gemini CLI, Codex, and more.

16 juil.

Learn more

The Making Of — a documentary about AI agents competing in a generative media hackathon.All media was produced using Google's generative AI models including ...

16 juil.

How our partner teams cut migration time while boosting quality

Our partner team, which manages video translation and dubbing services, had an interesting challenge: their workflow required rewriting translated text so that the spoken duration matched the original video's pacing exactly, without altering the meaning. Historically, this strict constraint required maintaining a fine-tuned model. Their goal was to migrate to the latest out-of-the-box foundation model, guided purely by prompt engineering. Using this agentic framework, the team provided their gro

16 juil.

Background on vLLM

vLLM is a high-performance, open source inference engine for large language models. It is designed for serving many concurrent requests efficiently in a cluster environment. An important characteristic of vLLM for this use case is that it exposes an OpenAI-compatible REST API. Anything that already talks to the OpenAI API (LangChain, LlamaIndex, or your own code that calls the OpenAI SDK) can be pointed at a self-hosted vLLM instance with nothing more than a URL change. That compatibility is wha

16 juil.

Deploying vLLM

Enter the following command to deploy the vLLM inference server and its service, adapted from the vLLM Kubernetes deployment documentation: VLLM_IMAGE=public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:latest cat <<EOF | kubectl apply -f - apiVersion: apps/v1 kind: Deployment metadata: name: vllm-server spec: replicas: 1 selector: matchLabels: app.kubernetes.io/name: vllm template: metadata: labels: app.kubernetes.io/name: vllm spec: containers: - n

16 juil.

LLMs and Automation

Overall, there is too much data in engagement logs for anyone to manually review, causing a bottleneck for analysis. To combat this issue, Janus produces normalized JSON for every task and result, making operational data usable by LLMs. Users should ensure any data shared with LLM services aligns with their organization’s data handling policies. For sensitive environments, this can be done using self-hosted models or hosted options such as Amazon Bedrock. Instead of digging through logs, teams c

16 juil.

The System Prompt

Before rappelling into the depths of application code, it is beneficial to provide Claude Code with contextual information for the target application and guidance on what we want to see in a response. This will result in fewer false positives and more useful responses compared to just telling Claude to “Find vulns in this app plz”. A system prompt is the perfect place to supply this. When working with an LLM, the client application maintains a rolling, limited “memory” of your conversation, call

16 juil.

Observation

AI-powered browsers and assistants are designed to read and act on web content on a user’s behalf. This creates a broader attack surface for prompt injection, where malicious instructions are embedded in otherwise normal content (for example, a calendar invite, email, or document). We’ve reviewed an attack scenario that demonstrates how an AI assistant can be influenced by untrusted content to navigate the web and attempt actions a user could perform at the keyboard. If the 1Password browser ext

16 juil.

Who may be affected

You may be affected if all of the following apply: You use an AI-powered browser or AI assistant that can autonomously navigate and interact with web pages.The AI assistant is able to read or act on untrusted content that comes from outside your direct control, such as emails, calendar invitations, shared documents, or web pages.Your 1Password browser extension is unlocked while the AI assistant is in use.

16 juil.

From tricycle to Porsche: Salesforce rebuilt Slackbot from the ground up

Salesforce a entièrement reconstruit Slackbot en le transformant d'un outil algorithmique simple en une solution sophistiquée basée sur un grand modèle de langage. La nouvelle version intègre des capacités de recherche avancées et accède à des données d'entreprise variées (enregistrements Salesforce, Google Drive, calendriers, conversations Slack). Malgré cette refonte technique majeure, Salesforce a conservé le nom Slackbot pour préserver la reconnaissance de la marque auprès des utilisateurs.

16 juil.

Peut-on savoir si une IA est consciente ?

Dario Amodei est très clair : aujourd’hui, la science ne dispose d’aucun outil fiable permettant de déterminer si un système d’IA est conscient, ni même de définir précisément ce que serait la conscience dans le cas d’une machine. Il ne dit pas que les modèles actuels sont conscients.Il ne dit pas non plus qu’ils le deviendront forcément. Mais il insiste sur un point : l’absence de certitude ne permet pas d’écarter totalement la question, surtout à mesure que les systèmes gagnent en complexité,

16 juil.

Apple et les interfaces homme-machine

Apple cherche à renforcer sa position dans les interfaces homme-machine en développant une commande vocale chuchotée et en intégrant des modèles d'IA plus avancés à Siri, notamment via un partenariat avec Google autour de Gemini. Cette stratégie vise à combler le retard de l'assistant face aux solutions concurrentes dopées à l'IA générative. En combinant une interface vocale innovante avec une intelligence accrue, Apple entend retrouver son avantage historique dans l'ergonomie et l'utilisabilité.

16 juil.

Discovery — now free for everyone

Firewall for AI discovers and protects your public LLM-powered applications, and is seamlessly integrated with Cloudflare WAF. Join the beta now and take control of your generative AI security.

16 juil.

“By economic and engineering measures, generative AI might be the worst technology ever deployed.”

A shockingly inefficient trillion-dollar project

15 juil.

Hardening Recommendations

Vibe coding is a style of coding that involves using plain speech prompts in generative AI applications to get code.

15 juil.

Trust in AI begins with a stable foundation

At its annual conference, SAP unveiled an AI operating system for SAP business AI, and a range of new AI agents including an omnipresent Joule copilot.

15 juil.

What AI-native software development means

The practical version is this: the SDLC needs to become legible to agents without becoming less accountable to humans. Intent has to be structured before work starts. An agent needs more than a prompt or a Jira summary. It needs the requirements, the relevant architecture, the decision history, and the constraints the team already knows. Choosing the right agent should not create diverging processes. A team may use the Cursor IDE for web development, Claude Code for complex backend tasks, a c

15 juil.

Delegate work to the right agent

Agents in Jira let teams assign work items directly to Claude Code, Cursor, or GitHub Copilot, with Codex coming soon. Work stays grounded in Jira as the source of truth while context flows to the agent doing the work. Jira Coding Agent is built into every paid Jira plan. It can take a well-scoped work item, use enterprise context and code intelligence via the Teamwork Graph, make the change, and return a ready-to-review pull request without requiring a developer to switch into a local environme

15 juil.

LLMs and Automation

Overall, there is too much data in engagement logs for anyone to manually review, causing a bottleneck for analysis. To combat this issue, Janus produces normalized JSON for every task and result, making operational data usable by LLMs. Users should ensure any data shared with LLM services aligns with their organization’s data handling policies. For sensitive environments, this can be done using self-hosted models or hosted options such as Amazon Bedrock. Instead of digging through logs, teams c

15 juil.

The System Prompt

Before rappelling into the depths of application code, it is beneficial to provide Claude Code with contextual information for the target application and guidance on what we want to see in a response. This will result in fewer false positives and more useful responses compared to just telling Claude to “Find vulns in this app plz”. A system prompt is the perfect place to supply this. When working with an LLM, the client application maintains a rolling, limited “memory” of your conversation, call

15 juil.

Protecting AI workloads

Every customer I talk to is building with AI. Generative AI on Amazon Bedrock, model training on SageMaker, agents orchestrating workflows through AgentCore. These workloads are reaching production faster than most security programs can keep up, and teams often don’t yet have the tools to monitor model invocations, track agent behavior, or even know what AI assets exist across the organization. One security leader told me his team only caught a compromised service account, one that had been invo

15 juil.

Observation

AI-powered browsers and assistants are designed to read and act on web content on a user’s behalf. This creates a broader attack surface for prompt injection, where malicious instructions are embedded in otherwise normal content (for example, a calendar invite, email, or document). We’ve reviewed an attack scenario that demonstrates how an AI assistant can be influenced by untrusted content to navigate the web and attempt actions a user could perform at the keyboard. If the 1Password browser ext

15 juil.

Who may be affected

You may be affected if all of the following apply: You use an AI-powered browser or AI assistant that can autonomously navigate and interact with web pages.The AI assistant is able to read or act on untrusted content that comes from outside your direct control, such as emails, calendar invitations, shared documents, or web pages.Your 1Password browser extension is unlocked while the AI assistant is in use.

15 juil.

The convergence thesis

Scion: The orchestration system

Learn more

How our partner teams cut migration time while boosting quality

Background on vLLM

Deploying vLLM

LLMs and Automation

The System Prompt

Observation

Who may be affected

From tricycle to Porsche: Salesforce rebuilt Slackbot from the ground up

Peut-on savoir si une IA est consciente ?

Apple et les interfaces homme-machine

Discovery — now free for everyone

“By economic and engineering measures, generative AI might be the worst technology ever deployed.”

Hardening Recommendations

Trust in AI begins with a stable foundation

What AI-native software development means

Delegate work to the right agent

LLMs and Automation

The System Prompt

Protecting AI workloads

Observation

Who may be affected

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