Tagged: agents
Showing 6–10 of 32 articles
Referencing a skill instead of installing it A paper argues installed skills spend a scarce prompt budget. I measured mine at 2,225 resident tokens, then ran the @skills reference client. Read article Where Agent Behaviour Lives: dsh, Claude Code and pi DeepSeek's dsh keeps its hardcoded prompt to one sentence. Claude Code puts orchestration in prose. pi hands the choice to you. I read the source of all three. Read article Four Places to Catch a Model's Mistake BAML repairs the output, Hyperlambda gates the execution, Zero explains the failure, ilo shrinks the surface. Four languages for agents, four different moments to intervene. Read article Why Every Model Lab Ships a Harness DeepSeek just released dsh, its own coding agent. That makes four labs with harnesses. The reasons are distribution, training data and benchmark control. Read article 65% and 8.5% Are the Same Tool I wrote a command to audit projects from primary sources, ran it on caveman and BAML, and found my own documentation quoting a savings figure the vendor had already withdrawn. Read article