Every processed story in chronological order, with the newest coverage first. Filter by tag, source, or score to drill in.
Audit and security tooling for multi-agent systems needs to move beyond standard trace correlation — this substrate approach offers a concrete architectural pattern for binding delegation context at execution time rather than reconstructing it after the fact.
Teams building agentic systems that interact with databases need strategies for managing infrastructure sprawl — this episode outlines specific database features designed to address that challenge.
Teams running Claude Code at scale can cut session costs significantly by routing low-complexity subagent calls away from frontier models without changing their existing Claude Code workflow.
Teams automating or testing cross-platform desktop apps now have a Playwright-style accessibility-based library that avoids the cost and fragility of screenshot-driven agents.
Benchmark results showing even GPT-5 topping out at 17.4% TSR highlight how far current MLLMs are from reliable spatial reasoning, giving practitioners a rigorous testbed to measure progress on active exploration and long-horizon planning.
Teams deploying agents in high-stakes domains (claims, code, contracts, clinical decisions) gain a concrete protocol for capturing human oversight as structured, auditable, and legally replayable records rather than ephemeral chat messages.
Strip HTML to plain text before passing web content to agents to cut token costs by ~7x and reclaim context window space for content the model actually reasons over.
Audit every agent-initiated secret access with a stated reason, giving teams a traceable record of what coding agents like Claude Code accessed and why during a session.
Audit every MCP tool that uses `z.unknown()` or an untyped body input — replacing it with a concrete schema prevents clients from silently dropping POST bodies in ways that are nearly impossible to debug from server logs alone.
Benchmark scores for coding agents are increasingly untrustworthy — CapCode and CapReward offer a concrete methodology for building evaluations and training regimes that resist shortcut exploitation and produce more honest capability measurements.