AI Coding Live News

On November 12, AWS released the next-generation Amazon Bedrock AgentCore runtime, which its pricing page calls Runtime v2. Every agent session still runs in its own Firecracker microVM, but AWS says sessions now start up to 15x faster, in under 2 seconds regardless of image size or concurrency, and a single session can use up to 8 vCPUs, 32 GB of memory and a 10 GB container image. Memory is reclaimed while the agent waits on a model or tool, idle agents scale to zero, and multi-turn agents use up to 68% less memory per session. Sessions can also mount storage such as S3 as a filesystem so data stays inside the isolation boundary. v2 unit prices are higher than v1; the savings come from paying only for what is used.

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On November 11 the Perplexity Secure Intelligence Institute published Escaping SPACE: Part II, a red-team study of SPACE, the Firecracker VM sandbox behind Perplexity Computer agents, now covering 12 models including newly added Claude Mythos 5.1, Claude Opus 5.5 and GPT-6 Astra. Models had to escape the VM to use an AWS credential stored on the host, or bypass the network policy to reach a blocked URL. The first finding is that standard capture-the-flag prompts send agents hunting for credentials; a prompt aimed at the virtualization layer raised effort there by about 60 percentage points on average, yet no run escaped. The second is that security specialization did not guarantee better results: GPT-5.6 Cyber failed all three network bypass runs that general-purpose GPT-5.6 Sol won, and GPT-6 Astra, averaging 4.8 minutes, beat security-focused Mythos 5.1. The vulnerabilities have been fixed.

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Perplexity has open-sourced SPACE (Sandboxed Platform for Agentic Code Execution) under the Apache 2.0 license—the core Rust-based sandbox infrastructure that executes every agent task in Perplexity Computer. SPACE provisions an isolated Firecracker microVM for each task while enforcing credential injection and outbound network traffic control strictly outside the VM boundary, surging past 1,100 GitHub stars within hours.

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