When to Gate Recursive Terminal-task Synthesis
Mark each agent job Promote, Hybrid, or Reject. RST is allowed only when the job is hermetic, bounded, reproducible, and outcome-verifiable
Encrypted Reasoning Traces on Your Laptop: Resume or Strip
Public traces hid 315,320 encrypted blocks. Treat resume logs and publish logs as two paths, then count the field on your own machine.
AI agent skills: Why they succeed and what causes them to crash
Everyone's adding skills to their agents. Almost no one knows when they help, why they work, or where they fail.
Does Self-Improvement Still Work on an Engineered Agent Harness?
How self-improving agent harnesses can look better in validation than they perform on unseen tasks.
MCP Went Stateless: What Must Change on Your Servers
2026-07-28 drops protocol sessions. A local place_order went 1 to 2 orders unless I sent an order id.
The three layers of AI agent security: from sandboxes to network proxies
How the industry is shifting from prompt engineering to systems engineering to secure the autonomous stack.
DeepSeek V4 Flash Debugging Benchmark: Can It Match Fable 5 at 1/99th the Cost?
We ran DeepSeek V4 Flash through 54 private debugging attempts, then compared its reliability, cost, latency, token use, and patch behavior with nine other frontier models.
Why 99%-Accurate Agents Fail Long Horizon Tasks
Why agents fail even when the right rule stays in context
Why your keyboard is the new bottleneck for AI agents (and how to solve it)
Wispr Flow turns messy speech into clean, context-aware text across your IDE, terminal, and AI coding tools.
Open Models as AI Incident Response Infrastructure
If your IR path is paste-into-a-frontier-API, it will break when you need it most.
Why Kimi K3's architecture is a masterclass in AI efficiency
How Moonshot fit a 2.8 trillion parameter model into real hardware without breaking it.
Claude Opus 5 Debugging Benchmark: Does More Reasoning Actually Fix More Bugs?
We ran Claude Opus 5 through 260 debugging attempts at Low, Medium, High, and XHigh effort, then compared its reliability, cost, latency, token use, and patch behavior with nine other models.
Why your enterprise needs a team agent, not a solo bot
How Viktor replaces isolated solo bots with shared memory, secure access, and team-wide coordination.
The Open-Model Race has Split Four Ways
Why “open” now means four different engineering trade-offs, not one model category
Bun’s Agent Graph Billed $165,000 over 11 days
Nobody paid the invoice, and the arithmetic underneath it still sets the point where a graph beats a single loop.
How Tabular Foundation Models Solve LLM Blind Spots
Zero-shot table prediction when LLMs shred your numbers
