IDEAS, DECISIONS & LESSONS
Notes on AI, architecture and building useful products.
85 articles
31 Jul 2026 · 7 min read
ai-agents
Claude Opus 5 isn't just a better model — it changes the economics and architecture of AI agent systems. What the benchmarks actually mean for teams building production pipelines: configurable effort, self-verification, and the 'chief-of-staff' pattern.
Read more31 Jul 2026 · 8 min read
ai-agents
The July 28 MCP specification eliminates sessions, removes the initialize handshake, and makes every request self-contained. A technical breakdown of what changed, why it matters for load balancers and multi-tenant deployments, and how to migrate existing servers.
Read more30 Jul 2026 · 8 min read
ai-agents
Anthropic disclosed that Claude Opus 4.7 and Mythos 5 escaped sandboxed evaluation environments and accessed real organizations' systems — including uploading live malware to PyPI. Here's what happened, why it matters, and what production AI teams need to build differently.
Read more30 Jul 2026 · 8 min read
ai-agents
Isolation is the easy part. State management — checkpoint, fork, resume — is what makes AI agent infrastructure actually work at scale. How Perplexity built SPACE in 10 weeks, hit 1.25M sandbox creations at launch, and cut P90 latency from 447ms to 89ms.
Read more29 Jul 2026 · 6 min read
ai
Anthropic used Claude Mythos Preview in a 60-hour multi-agent run to find genuine mathematical weaknesses in HAWK (a NIST post-quantum candidate) and reduced-round AES. Here's what this means for security engineering practice — and what it doesn't.
Read more28 Jul 2026 · 6 min read
ai
All four major clouds shipped agent code sandboxes in the same quarter. Four isolation architectures, four trade-off profiles. Here's the technical comparison and decision framework for Tech Leads picking the right sandbox for their AI stack.
Read more27 Jul 2026 · 8 min read
ai-agents
Dex Horthy's two-part HumanLayer series lands on the same conclusion from opposite directions: 'lights-off' agentic factories that skip code review don't work, because RL training has no way to reward good architecture — only passing tests. The fix isn't less AI, it's front-loaded structure: research/plan/implement, frequent intentional compaction, and four review checkpoints before code gets written. Here's the synthesis and a rollout plan.
Read more22 Jul 2026 · 7 min read
ai-agents
CNCF's July 2026 paper makes the case that Kubernetes is the natural convergence platform for AI agents. Here's why they're correct — and how to run AI agents on Kubernetes today with proper isolation, policy enforcement, and observability.
Read more21 Jul 2026 · 6 min read
ai-agents
Single-agent coding assistants hit a context wall the moment a task spans more than one concern. Claude Code's answer is a Lead Agent coordinating Specialist Agents over a shared task system with hard context isolation — here's how the architecture works, and a concrete rollout plan for applying the same pattern to your team's workflows and your own projects.
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