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agentic-ai
35 postsAgentic AI ROI: Track Cost Per Accepted Outcome, Not Tokens
A five-step framework for measuring agentic AI ROI through cost per accepted outcome instead of raw token or infrastructure spend.
MCP's Confused Deputy Problem: Provenance Gaps, Injection, DNS Rebinding
MCP's confused deputy flaw explained: provenance gaps, prompt injection via fetch servers, DNS rebinding, and concrete detection rules.
LingBot-World 2.0: Ant Group's Open Causal World Model
Ant Group released LingBot-World-Infinity, a 14B causal world model using MoBA attention and an agentic harness for 60 minutes of decay-free simulation.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comSecuring AI Agents: From Trust to Containment
As AI agents shift from passive models to autonomous actors, the security perimeter moves inward. A look at OWASP-aligned risks and containment strategies.
How Anthropic bakes security into its Claude-driven dev lifecycle
A look at how Anthropic embeds AI-driven security checks across coding, CI review, and deployment in its Claude-based dev lifecycle.
GPT-5.6 vs Claude Fable 5: Benchmarking Physical AI Simulation
JuliaHub compares GPT-5.6 and Claude Fable 5 in its Dyad agent on five physical modeling problems, revealing cost, speed, and validation trade-offs.
How a Benchmark Turned an MCP Security Proxy From 9% to 63%
An open benchmark shows how the mcp-bastion MCP security proxy grew from 9% to 63% attack-surface coverage through iterative testing.
Building an AI that pentests your AI, with proof required
An engineer built an adversarial LLM harness that only reports proven exploits against a live agent, replacing vague 'might be vulnerable' pentest reports with deterministic, oracle-verified findings.
Agentic AI Economics: Why Unconstrained Autonomy Costs More
Agentic AI deployments are overspending and creating security holes by treating rigid business workflows as open-ended reasoning tasks.
Why Coding Agents Improve More From Harness Design Than Models
LangChain pushed a coding agent to Terminal-Bench's top 5 without changing the model — the gains came entirely from harness design.