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AI Agents · AI agents shift integration development from months to weeks by automating spec-to-code execution
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AI agents shift integration development from months to weeks by automating spec-to-code execution
Integration platforms are evolving from low-code visual builders to code-first environments where AI agents generate complete integration logic from natural language specifications, execute…
Agentic RPA and computer-use models unlock integration with legacy systems lacking APIs
As AI agents gain computer-use capabilities (browser automation, pixel-level interaction), they can reliably automate legacy desktop/web apps without APIs — turning brittle screen-scraping…
MCP protocol debate reflects tension between standardized agent interfaces and model-native API consumption
The industry is split on whether Model Context Protocol (MCP) adds value beyond existing API standards (OpenAPI, GraphQL). Proponents argue MCP provides agent-optimized tool descriptions; s…
Factorial's cell-based horizontal scaling architecture enables sovereign data compliance and latency optimization
Factorial employs a sharded 'cell' architecture — identical software stacks deployed across multiple data centers (Frankfurt, LatAm, German sovereign cloud) with an API gateway routing tena…