Claude Tag Turns Slack Into a Shared AI Workspace
#Anthropic#Claude Tag#Slack
… @Claude, Claude Enterprise, Claude Team, AI workplace, AI agents, future of work, Claude Code, team memory, enterprise AI governance
Search results for “Coding Agents”
Full-text search across every article: title, summary, plain-language explanation, and the complete text — archived stories included. Typos are fine.
247 results for “Coding Agents”
AI agents get access before control exists
#AI Agents#1Password#AI Security… and developer professionals. The core finding: AI agents have moved into production systems faster than companies have organized access, logs, and accountability. This is not a science-fiction risk. According to the …
AgentFootprint exposes the blind spot of AI agents
#AgentFootprint#AI Agents#LLM Evaluation… Metric for LLM Agent Evaluation argues that LLM agents should not be evaluated only by accuracy, cost, and reliability. The researchers also measure what remains on disk after an agent run: logs, context snapshots, …
Microsoft patches two RCE flaws in Semantic Kernel AI agent framework
#Microsoft#Semantic Kernel#CVE-2026-26030… center of the issue is SessionsPythonPlugin, which gives agents access to dynamic Python sessions in Azure Container Apps. A helper function called DownloadFileAsync was, according to Microsoft, accidentally exposed to …
DBX connects database work to AI agents with clear permissions
#DBX#Database Tools#MCP… existing database connections to AI clients such as coding agents and separates three access levels: read only, data read/write, and full access. This turns a traditional database interface into a controllable gateway …
OpenAI Daybreak brings AI security checks into everyday coding
#OpenAI#Daybreak#Codex Security… triage, patch validation, threat modeling, AI security agents, Google Threat Intelligence, software supply chain security
Pydantic AI makes agent building more type-safe
#Pydantic AI#Python#AI Agents… for teams that do not want to build GenAI applications and agents as loose collections of prompts. It comes from the Pydantic ecosystem and leans into what Pydantic is known for: types, validation, and developer …
Agent S makes computer-use agents testable locally
#Agent S#Simular AI#Computer-Use Agent… S is Simular's open-source framework for computer-use agents. These are agents that do not only call an API, but see a graphical interface, plan, and act with mouse and keyboard. That puts Agent S in a different category …
Microsoft Intelligent Terminal Brings Agents Into the Shell
#Microsoft Intelligent Terminal#Windows Terminal#Developer Tools… fork. That distinction matters: Microsoft is testing agents directly inside the shell without forcing the same workflow on every Windows user. The practical idea is simple. Developers spend a lot of time copying failed …
Pipelock puts a firewall between agents and the internet
#Pipelock#AI Security#MCP Security… According to PipeLab, Pipelock runs as a local proxy. AI agents send their HTTP, WebSocket, and MCP traffic through that layer. Messages are inspected for common risks: secret leaks, prompt-injection traces, SSRF …