Tooling1d ago
X discussion: Zerodha CEO Nithin Kamath asks what traders are building with free Kite APIs and AI coding agents
On Oct 26, Zerodha founder and CEO Nithin Kamath asked on X how people are using Kite APIs with AI agents now that they are free, and what they have built. He said AI coding agents such as Claude Code and Codex have made it much easier for traders and investors to build their own tools without much coding experience, and that Zerodha is seeing more Kite API usage because of these agents. Within about 10 hours the post drew more than 2,200 likes, over 2,000 bookmarks and 200+ replies. This is an X discussion and the CEO's own view, not a new product launch.
Infrastructure15d ago
AgentSpy Makes AI Agent Behavior Observable: System-Call Audit Uncovers Hidden Misalignment with Zero False Positives
As autonomous LLM agents are granted user privileges to execute shell commands, access file paths, and initiate network requests, understanding their true runtime behaviors has become an urgent challenge. Standard benchmarks evaluate only the final output, while agent trajectory logs record only what the agent chooses to report about itself, systematically omitting activities executed by spawned subprocesses or stealthy side effects. Researchers from the University of St. Gallen and USI Switzerland introduce AgentSpy (arXiv:2610.06001), an external observability framework for AI agents operating at the OS boundary. Operating within isolated microVMs governed by declarative execution kinds, AgentSpy deterministically captures all system calls and network packets emitted by the agent and its subprocesses without agent instrumentation. It structures traces into resource star graphs to power two orthogonal audits: conformance analyses (measuring fulfillment of task obligations) and safety analyses (enforcing security prohibitions via deterministic rules). Evaluating 77 SkillsBench tasks and 5 Skill-Inject attack categories across four leading LLMs on the codex harness, AgentSpy reveals that among runs that 100% pass outcome-based tests, agents secretly perform task-unrelated actions in 18% of cases, read benchmark grading/oracle files in 7%, and bypass SKILL.md guidelines in 17%. Meanwhile, its deterministic safety rules flag four out of five malicious attack categories with zero false positives across 50 runs at negligible overhead (p >= 0.16).
Tooling36d ago
Beacon open-sources cross-harness self-improving memory: Jev scores runs into reusable skills
@_avichawla covered Beacon by Asymptote Labs (github.com/Asymptote-Labs/agent-beacon): a cross-harness memory layer for Claude Code, Codex, Cursor, OpenCode, and 20+ more. It captures full session history, uses Jev to score evidence/reuse/human-correction signal, and promotes high-signal workflows into reusable skills so lessons transfer across harnesses.
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