https://www.youtube.com/watch?v=0DLdQ6yb7h8 is a really accessible introduction to programming workflows with Sly for Common Lisp.
The notion of 'stickers' is novel to me: you mark places in the code where you want to remember values (essentially tracing) or pop to a debugger (breakpoints).
miniblog.
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Some novel (to me) AI workflows from OpenAI in https://openai.com/index/open-source-codex-orchestration-symphony/
(1) Adding the ability for the LLM to create follow-up tasks in the issue tracker.
(2) Identifying weaknesses in the spec by implementing in several different languages.
Agentic programming workflows rather remind me of genetic programming. The agent has a validation step that looks like a fitness function, and both run iterative trials.
I certainly see the appeal of an LLM system with full context and tool use (OpenClaw), but the lethal trifecta puts me off deploying it.
I do like the idea of an agent with a heartbeat though. A bunch of nice cron-style workflows can be built on top.