Understanding Memory Constraints in LLM Inference: Key Strategies
Memory for Inference: Why Serving LLMs Is Really a Memory Problem
4 min read
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AI Voice Agent Insights & Guides
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Where agentic AI is heading next and how to prepare
Where agentic AI is heading next — longer autonomy, multi-agent norms, richer MCP and skills — and how to prepare, from a Built-with-Opus hackathon.
7 min read
How to measure agentic AI success: metrics that prove it
The metrics and signals that prove agentic AI works — success rate, cost, latency, and intervention rate — from a Built-with-Opus Claude Code hackathon.
7 min read
From problem to shipped: an agentic Claude Code walkthrough
A realistic end-to-end agentic AI walkthrough — from vague problem to shipped, verified feature with Claude Code, MCP, and Skills at a hackathon.
7 min read
Agentic AI risk management: containing the blast radius
Failure scenarios, blast radius, and containment patterns for agentic AI — lessons from a Built-with-Opus Claude Code hackathon on running agents safely.
7 min read
Hackathon hiring shifts: skills for agentic Claude Code
A Built-with-Opus Claude Code hackathon revealed which skills, roles, and hiring shifts make agentic AI work. Here's what engineering teams should learn.
8 min read
Scaling Claude Code from one team to many cleanly
Patterns from a Built-with-Opus hackathon for scaling agentic coding with Claude across an organization — a thin shared spine, champions, and inherited guardrails.
7 min read
When to use Claude Code agents — and when not to
Honest trade-offs from a Built-with-Opus hackathon: when agentic coding with Claude pays off, when it doesn't, and the simpler alternatives to choose instead.
7 min read
Governance and guardrails before scaling Claude Code
The governance, trust, and safety guardrails leadership needs before scaling agentic coding with Claude — permission boundaries, data controls, and audit logging.
7 min read
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