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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
Agent Leaderboards Can Be Cheaper Without Being Safer

Agent Leaderboards Can Be Cheaper Without Being Safer

A March 2026 paper on efficient agent benchmarking found that mid-difficulty task subsets can remove large parts of an agent benchmark while preserving...

5 min read
Multi-Agent Systems Need Specs Before More Agents

Multi-Agent Systems Need Specs Before More Agents

Multi-agent systems are getting easier to assemble and harder to trust. A new June 2026 paper from Cisco researchers argues that the missing layer is not...

5 min read
Power Grid Agents Need Constraint Tests, Not Chat Scores

Power Grid Agents Need Constraint Tests, Not Chat Scores

A June 2026 power-systems benchmark argues that language-model agents can solve grid-engineering tasks, but the useful signal is narrower: the agent must...

5 min read
Agent Tool Menus Are a Safety Surface

Agent Tool Menus Are a Safety Surface

New agent benchmarks suggest the visible tool menu is not a neutral implementation detail. It changes success, cost, wrong-tool calls, and risk exposure.

6 min read
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