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description=Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost. - loop-engineering/docs/primitives.md at main · cobusgreyling/loop-engineering;

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breadcrumbs loop engineering docs primitives md copy path top file metadata and controls preview code blame 99 lines 64 loc 3 67 kb raw copy raw file download raw file outline edit and raw actions the five primitives memory this document expands on the core building blocks of loop engineering 1 automations scheduling the heartbeat without scheduling you just have a one off agent run common realizations loop grok scheduled tasks cron in claude code github actions repository dispatch goal run until a verifiable condition is true custom harness schedulers key properties interval fire immediately recurring vs one shot durable survives restarts 2 worktrees parallelism without chaos when two agents edit the same files at the same time you get merge hell git worktrees or equivalent isolated checkouts give each agent its own working directory that shares history but not the working tree in grok pass isolation worktree when spawning subagents or use worktree dedicated sessions cleanup is important loops should delete the worktree when the task is done or handed off the loop worktree cli makes this mechanical one worktree per attempt tracked in a manifest swept on reject or escalation 3 skills the persistent memory of intent a skill usually a skill md optional scripts references encodes project conventions we don t do it this way because of x incident build test lint commands review standards domain knowledge without skills the loop re derives everything from scratch on every run intent debt skills are also the unit of reuse package them as plugins to share across repos or teams 4 plugins connectors mcp a loop that can only read the filesystem is limited connectors let the loop read and update linear jira tickets post to slack discord query databases or internal apis create branches and prs on github trigger deploys or runbooks mcp model context protocol has become the common substrate so connectors written for one tool often work in another 5 sub agents maker checker split the single most important structural pattern for reliable loops the agent that wrote the code is a terrible judge of its own work a second agent sometimes on a stronger model always with different instructions performs verification common splits explorer implementer verifier implementer security reviewer implementer test writer runner in unattended loops the verifier is what lets you the human walk away with some confidence goal in several tools uses a fresh model to decide whether the stopping condition has been met another application of the maker checker idea memory state the model has no long term memory across separate turns or sessions the loop must read from and write to something durable a state md or loop state json in the repo a dedicated section of a linear board or github project a small database row good state answers what are we currently working on what did we try last time and what was the outcome what is waiting for a human the state file is often the single most important artifact the loop produces how the pieces fit together a minimal viable loop usually starts with scheduling one skill triage state file you then add worktree isolation when you start making changes sub agent verification when the loop is acting autonomously connectors when you want it to drive tickets and prs instead of just suggesting the best loops are the ones where each new primitive is added only when the previous version has proven its value and its failure modes see architecture diagrams md for how these primitives map onto the actual tools packages plus the run lifecycle and sequence diagrams footer 2026 github inc footer navigation terms privacy security status community docs contact manage cookies do not share my personal information you can t perform that action at this time