Topic
Append Only Logging
7 episodes
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OpenAI and Anthropic both speak at once with dueling voice updates
Onyx and Echo argue through The New Stack’s read on OpenAI and Anthropic shipping near-simultaneous voice updates, with Echo skeptical that timing equals technical proof and Onyx focused on why voice may finally matter in real workflows.
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Overview: Durable Execution
We’re finally slowing down and unpacking durable execution from the ground up, because it keeps showing up in our conversations and it actually deserves the full treatment. We’re using the book-with-bookmarks idea to make the mechanics of checkpoints, retries, and recovery click without hand-waving.
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Overview: Append Only Logging
We’re finally making append-only logging click, because it keeps sneaking into the stuff we cover and we keep assuming everybody sees the mechanism already. We walk from the basic idea to why it gives AI systems a durable, auditable trail, and where that trade-off starts to bite.
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Kwc2SSaP0y
Buzz argues that the workspace for software teams should treat people, agents, messages, workflows, and code as parts of one shared system. Cooper likes the product shape, while Miles argues the hard part is whether signed events and self-hosting produce usable coordination rather than another fragmented collaboration stack.
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Why every AI agent decision needs a receipt
Two hosts dig into the case for giving every AI agent action a receipt: not because logs are fashionable, but because verification is the only way to know what happened, what failed, and what to trust. They stay skeptical about overgeneralizing, but land on a practical view that evidence packets matter most where agent decisions touch code, runtime, or anything expensive to undo.
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How to Implement a Unified Memory From Scratch
Jessica and Cathy dig into a new post that walks through building a unified agent memory from scratch using knowledge graphs and MongoDB, unpacking what it actually takes to wire memory into a real agent harness. They tease apart where the post’s blueprint shines, where it overreaches, and who on earth should actually roll their own instead of reaching for an off-the-shelf tool.
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What we’ve learned building cloud agents · Cursor
Laura and Harper unpack Cursor's cloud agent engineering lessons — why the dev environment IS the product, how durable execution via Temporal unlocked real reliability, and why the harness is shifting from deterministic control to giving agents tools to self-heal.