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Agent Observability Is Escaping the Dashboard

Agent Observability Is Escaping the Dashboard

Agent observability is moving from vendor dashboards into trace contracts that make every model call, tool call, handoff, guardrail, and evaluator step inspectable.

3 min read
Agent Security Needs Owners, Not More Threat Lists

Agent Security Needs Owners, Not More Threat Lists

Security and Privacy in Agentic AI landed on arXiv on 7 July 2026 with a useful warning: agentic risk is now too operational for taxonomy work alone...

4 min read
Million-Token Context Still Fails the Workload Test

Million-Token Context Still Fails the Workload Test

Anthropic reported on February 5, 2026 that Claude Opus 4.6 scored 76% on the 8-needle 1M-token MRCR v2 test while Claude Sonnet 4.5 scored 18.5% on the...

7 min read
Agent Evals Need Harnesses, Not More Scoreboards

Agent Evals Need Harnesses, Not More Scoreboards

AgentCompass first landed on arXiv on 15 July 2026 with a practical complaint: agent evaluation is fragmented, tightly coupled, and hard to reproduce...

3 min read
Coding Agent Benchmarks Hit the Generalization Wall

Coding Agent Benchmarks Hit the Generalization Wall

Scale's SWE-Bench Pro public leaderboard reports that top models scoring above 70% on SWE-Bench Verified fall to 23.3% for OpenAI GPT-5 and 23.1% for...

6 min read
Agent Test-Time Scaling Needs Reuse, Not More Rollouts

Agent Test-Time Scaling Needs Reuse, Not More Rollouts

General AgentBench reports that running agents for more interaction steps or more sampled trajectories did not reliably improve ten leading agents,...

3 min read
Multi-Agent Finance Workflows Need Cost Curves, Not More Agents

Multi-Agent Finance Workflows Need Cost Curves, Not More Agents

A March 2026 benchmark on financial-document processing makes the uncomfortable point: the most accurate multi-agent architecture was not the obvious...

4 min read
Coding Agents Need Trajectory Reviews, Not Pass Bits

Coding Agents Need Trajectory Reviews, Not Pass Bits

Most coding-agent benchmarks still compress a whole run into one bit: did the task pass? AgentLens argues that users experience the whole trajectory...

4 min read
Tool-Use Agents Need Failure Labels, Not Pass Rates

Tool-Use Agents Need Failure Labels, Not Pass Rates

Tool-use agents can fail in ways a final accuracy score hides, because the same wrong answer can come from skipped tools, ignored outputs, fabricated...

4 min read
Agent Observability Needs Provenance, Not More Logs

Agent Observability Needs Provenance, Not More Logs

Agent observability is drifting toward a familiar trap: capture every trace, then ask an engineer to work out why the agent did the wrong thing. A June...

4 min read
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