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1000 results for “infoq”
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#Cloudflare announced the closed beta of Flagship - a feature flag service built directly into its global edge platform.
Teams can control feature rollouts and experiment without redeploying code, while evaluating flags locally in Cloudflare Workers instead of calling external flag services.
Learn more ⇨ https://bit.ly/4wdUHQL
#InfoQ #DevOps #ContinuousDelivery #LowLatency #EdgeComputing
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#Cloudflare announced the closed beta of Flagship - a feature flag service built directly into its global edge platform.
Teams can control feature rollouts and experiment without redeploying code, while evaluating flags locally in Cloudflare Workers instead of calling external flag services.
Learn more ⇨ https://bit.ly/4wdUHQL
#InfoQ #DevOps #ContinuousDelivery #LowLatency #EdgeComputing
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#Cloudflare announced the closed beta of Flagship - a feature flag service built directly into its global edge platform.
Teams can control feature rollouts and experiment without redeploying code, while evaluating flags locally in Cloudflare Workers instead of calling external flag services.
Learn more ⇨ https://bit.ly/4wdUHQL
#InfoQ #DevOps #ContinuousDelivery #LowLatency #EdgeComputing
-
#Cloudflare announced the closed beta of Flagship - a feature flag service built directly into its global edge platform.
Teams can control feature rollouts and experiment without redeploying code, while evaluating flags locally in Cloudflare Workers instead of calling external flag services.
Learn more ⇨ https://bit.ly/4wdUHQL
#InfoQ #DevOps #ContinuousDelivery #LowLatency #EdgeComputing
-
#Cloudflare announced the closed beta of Flagship - a feature flag service built directly into its global edge platform.
Teams can control feature rollouts and experiment without redeploying code, while evaluating flags locally in Cloudflare Workers instead of calling external flag services.
Learn more ⇨ https://bit.ly/4wdUHQL
#InfoQ #DevOps #ContinuousDelivery #LowLatency #EdgeComputing
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#JobRunr just launched ClawRunr — an #opensource Java AI agent for scheduled, recurring, and one-off background tasks.
Runs on users' hardware and combines:
• Conversational interaction with persistent task execution
• MCP tools
• Browser automation
• Web, Telegram & Discord channelsMore details ⇨ https://bit.ly/4tdBCvz
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CodeGuardian is an MCP server that extends AI coding assistants with comprehensive code quality and security analysis.
Developers can access enterprise-grade analysis directly in their AI assistant - reducing context switching and making secure coding easier to adopt.
🔗 Read now: https://bit.ly/4u0VNhz
#InfoQ #AI #ModelContextProtocol #AIagents #AIAssistedCoding
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CodeGuardian is an MCP server that extends AI coding assistants with comprehensive code quality and security analysis.
Developers can access enterprise-grade analysis directly in their AI assistant - reducing context switching and making secure coding easier to adopt.
🔗 Read now: https://bit.ly/4u0VNhz
#InfoQ #AI #ModelContextProtocol #AIagents #AIAssistedCoding
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CodeGuardian is an MCP server that extends AI coding assistants with comprehensive code quality and security analysis.
Developers can access enterprise-grade analysis directly in their AI assistant - reducing context switching and making secure coding easier to adopt.
🔗 Read now: https://bit.ly/4u0VNhz
#InfoQ #AI #ModelContextProtocol #AIagents #AIAssistedCoding
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CodeGuardian is an MCP server that extends AI coding assistants with comprehensive code quality and security analysis.
Developers can access enterprise-grade analysis directly in their AI assistant - reducing context switching and making secure coding easier to adopt.
🔗 Read now: https://bit.ly/4u0VNhz
#InfoQ #AI #ModelContextProtocol #AIagents #AIAssistedCoding
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CodeGuardian is an MCP server that extends AI coding assistants with comprehensive code quality and security analysis.
Developers can access enterprise-grade analysis directly in their AI assistant - reducing context switching and making secure coding easier to adopt.
🔗 Read now: https://bit.ly/4u0VNhz
#InfoQ #AI #ModelContextProtocol #AIagents #AIAssistedCoding
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Cloudflare’s new #ModelContextProtocol (MCP) server powered by Code Mode enables #AIagents to interact with large APIs with minimal token usage.
The server reduces context footprint across 2,500+ endpoints, improves multi-API orchestration, and provides a secure, code-centric execution environment for LLM agents.
Deep dive on #InfoQ ⇨ https://bit.ly/4dTJgqQ
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Cloudflare’s new #ModelContextProtocol (MCP) server powered by Code Mode enables #AIagents to interact with large APIs with minimal token usage.
The server reduces context footprint across 2,500+ endpoints, improves multi-API orchestration, and provides a secure, code-centric execution environment for LLM agents.
Deep dive on #InfoQ ⇨ https://bit.ly/4dTJgqQ
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Cloudflare’s new #ModelContextProtocol (MCP) server powered by Code Mode enables #AIagents to interact with large APIs with minimal token usage.
The server reduces context footprint across 2,500+ endpoints, improves multi-API orchestration, and provides a secure, code-centric execution environment for LLM agents.
Deep dive on #InfoQ ⇨ https://bit.ly/4dTJgqQ
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Cloudflare’s new #ModelContextProtocol (MCP) server powered by Code Mode enables #AIagents to interact with large APIs with minimal token usage.
The server reduces context footprint across 2,500+ endpoints, improves multi-API orchestration, and provides a secure, code-centric execution environment for LLM agents.
Deep dive on #InfoQ ⇨ https://bit.ly/4dTJgqQ
-
Cloudflare’s new #ModelContextProtocol (MCP) server powered by Code Mode enables #AIagents to interact with large APIs with minimal token usage.
The server reduces context footprint across 2,500+ endpoints, improves multi-API orchestration, and provides a secure, code-centric execution environment for LLM agents.
Deep dive on #InfoQ ⇨ https://bit.ly/4dTJgqQ
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@infoq Great case study. Central registry + human-in-the-loop approvals are exactly the right building blocks.
We see the same pattern with ToolMesh: a gateway between agent and API. Instead of building an MCP server per API, a YAML file describes the endpoints — ToolMesh handles ACL, credential isolation, and audit trails.
Pinterest's approach shows MCP works in production — when the governance layer is right.
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@infoq Great case study. Central registry + human-in-the-loop approvals are exactly the right building blocks.
We see the same pattern with ToolMesh: a gateway between agent and API. Instead of building an MCP server per API, a YAML file describes the endpoints — ToolMesh handles ACL, credential isolation, and audit trails.
Pinterest's approach shows MCP works in production — when the governance layer is right.
-
@infoq Great case study. Central registry + human-in-the-loop approvals are exactly the right building blocks.
We see the same pattern with ToolMesh: a gateway between agent and API. Instead of building an MCP server per API, a YAML file describes the endpoints — ToolMesh handles ACL, credential isolation, and audit trails.
Pinterest's approach shows MCP works in production — when the governance layer is right.
-
@infoq Great case study. Central registry + human-in-the-loop approvals are exactly the right building blocks.
We see the same pattern with ToolMesh: a gateway between agent and API. Instead of building an MCP server per API, a YAML file describes the endpoints — ToolMesh handles ACL, credential isolation, and audit trails.
Pinterest's approach shows MCP works in production — when the governance layer is right.
-
@infoq Great case study. Central registry + human-in-the-loop approvals are exactly the right building blocks.
We see the same pattern with ToolMesh: a gateway between agent and API. Instead of building an MCP server per API, a YAML file describes the endpoints — ToolMesh handles ACL, credential isolation, and audit trails.
Pinterest's approach shows MCP works in production — when the governance layer is right.
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#Pinterest has deployed a production-ready #ModelContextProtocol (#MCP) ecosystem, enabling #AIagents to automate complex engineering tasks and integrate internal tools.
Domain-specific MCP servers + central registry + human-in-the-loop approvals ⇒ boost security, governance & productivity - saving thousands of hours monthly.
🔗 Details: https://bit.ly/4dVIhX6
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#Pinterest has deployed a production-ready #ModelContextProtocol (#MCP) ecosystem, enabling #AIagents to automate complex engineering tasks and integrate internal tools.
Domain-specific MCP servers + central registry + human-in-the-loop approvals ⇒ boost security, governance & productivity - saving thousands of hours monthly.
🔗 Details: https://bit.ly/4dVIhX6
-
#Pinterest has deployed a production-ready #ModelContextProtocol (#MCP) ecosystem, enabling #AIagents to automate complex engineering tasks and integrate internal tools.
Domain-specific MCP servers + central registry + human-in-the-loop approvals ⇒ boost security, governance & productivity - saving thousands of hours monthly.
🔗 Details: https://bit.ly/4dVIhX6
-
#Pinterest has deployed a production-ready #ModelContextProtocol (#MCP) ecosystem, enabling #AIagents to automate complex engineering tasks and integrate internal tools.
Domain-specific MCP servers + central registry + human-in-the-loop approvals ⇒ boost security, governance & productivity - saving thousands of hours monthly.
🔗 Details: https://bit.ly/4dVIhX6
-
#Pinterest has deployed a production-ready #ModelContextProtocol (#MCP) ecosystem, enabling #AIagents to automate complex engineering tasks and integrate internal tools.
Domain-specific MCP servers + central registry + human-in-the-loop approvals ⇒ boost security, governance & productivity - saving thousands of hours monthly.
🔗 Details: https://bit.ly/4dVIhX6
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What happens when a major financial institution prepares its #APIs for #AIagents?
#MorganStanley had to rethink large parts of its API program.
The big shift: #ModelContextProtocol (MCP) - which has gone from obscurity to industry standard in ~18 months.
It fundamentally changes who - or what - is consuming your APIs.
Learn more: https://bit.ly/3PFnUmV
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What happens when a major financial institution prepares its #APIs for #AIagents?
#MorganStanley had to rethink large parts of its API program.
The big shift: #ModelContextProtocol (MCP) - which has gone from obscurity to industry standard in ~18 months.
It fundamentally changes who - or what - is consuming your APIs.
Learn more: https://bit.ly/3PFnUmV
-
What happens when a major financial institution prepares its #APIs for #AIagents?
#MorganStanley had to rethink large parts of its API program.
The big shift: #ModelContextProtocol (MCP) - which has gone from obscurity to industry standard in ~18 months.
It fundamentally changes who - or what - is consuming your APIs.
Learn more: https://bit.ly/3PFnUmV
-
What happens when a major financial institution prepares its #APIs for #AIagents?
#MorganStanley had to rethink large parts of its API program.
The big shift: #ModelContextProtocol (MCP) - which has gone from obscurity to industry standard in ~18 months.
It fundamentally changes who - or what - is consuming your APIs.
Learn more: https://bit.ly/3PFnUmV