Search and filter through extracted claims from AI researchers.
Showing 421-440 of 587 claims in topic "agents"
Agents represent a fundamentally new form of software distinct from traditional web applications
Skills, sandboxes, and agent-readable websites are now critical infrastructure for agent frameworks
Loops (autonomous coding agents) are inevitable and already here to stay in software development
Developers won't go back to writing code by hand after using loops
There is a delta between the hype behind loops and what actually works in practice
Verifiability can be achieved with any code regardless of how it was produced (human or AI)
More capability does not necessarily yield better software in agentic coding assistants
Container deployment was the dominant defect in agentic coding, failing first try in 44% of runs
Criterion-level analysis reveals failure modes that aggregate run totals conceal in agent evaluation
Pipeline data may be stale or degraded.
Last synthesis: 2026-09-20. 8,952 pending.