InfoQ - AI Architecture - News

HCP Terraform Positions Itself as the Control Plane for AI-Driven Infrastructure

Craig Risi — Tue, 01 Sep 2026 12:00:00 GMT

HashiCorp is positioning HCP Terraform as the governance and control plane for a new generation of AI-driven infrastructure, arguing that the rapid adoption of coding agents is shifting the biggest infrastructure challenge from writing configuration to verifying and safely executing it.

By Craig Risi

DoorDash’s Flux Runs 130,000 Engineering Tasks through Cloud-Based Agents

Leela Kumili — Mon, 31 Aug 2026 14:28:00 GMT

DoorDash has moved engineering agent workloads from developer laptops to its Flux cloud platform. The platform automated 130,000 engineering tasks in one month and supports more than 25,000 automated code reviews weekly. Flux uses isolated Firecracker microVMs, an MCP gateway, reusable playbooks, and multiple invocation surfaces to run agent workflows with scoped access and centralized auditing.

By Leela Kumili

Foundry Model Router Expands from Two Regions to 28, Refreshing Its Model Pool

Steef-Jan Wiggers — Mon, 31 Aug 2026 10:18:00 GMT

Microsoft expanded Foundry's model router from two regions to 28 for global standard and 21 for data zone deployments, while adding Claude Opus 4.8 and GPT-5.6 and removing four deprecated models. Default deployments receive pool changes automatically; configured subsets exclude new models until added. The effective context window equals the smallest model in the pool.

By Steef-Jan Wiggers

Meta Expands its Custom Silicon Strategy from Compute into Networking

Matt Foster — Fri, 28 Aug 2026 07:43:00 GMT

Meta has detailed MTIA 300, its first in-house accelerator optimized for training ranking and recommendation models.

By Matt Foster

Diagrid Catalyst 2.0 Adds Durable and Verifiable Execution for AI Agents

Mark Silvester — Wed, 26 Aug 2026 07:00:00 GMT

Diagrid Catalyst 2.0 applies Dapr-based recovery, signed workflow history and execution attestation across several agent frameworks. Architects should compare it with framework-native durability and established workflow engines, while evaluating benchmark evidence and operational trade-offs.

By Mark Silvester