Continuous Assembly
Continuous Assembly (CA): CI/CD for the physical world. A commit to a repo describing equipment triggers procurement and automated assembly.
Core concept
- 2039242879244411286 — CA defined: CI/CD for the physical world
- 2039242733743927461 — the gap: CI/CD automates software but hardware is still manual
- 2039254816967573939 — CA closes the missing layer between software and physical deployment
- 2039243253061759381 — CA needs two layers: declarative description + compilation to physical instructions
- 2039243541491462355 — software vs. hardware is an implementation detail, not part of the spec
Desired state & declarative systems
- 2039243367905972451 — CA must measure reality to plan changes
- 2039244345883427238 — the build plan depends on current state, known only at build time
- 2039309313987187063 — the physical world is the ultimate mutable, imperative system — desired state should work here too
- 2039308018211586082 — NixOS as a particular case of desired state
- 2039302841450537164 — desired state wraps mutable with declarative (Jenco)
- 2039290956810448985 — NixOS: describe what it should look like, not how to get there
- 2039309916691956045 — desired state as a file inherits the entire text toolchain
- 2039290263060046285 — GitOps for device fleets: declaring desired state in git
Physical constraints
- 2039240070839079280 — technological constraints reshape practices around the cheap path
- 2039241901405331826 — containers made immutable deployment cheap; the industry restructured around it
- 2039251238110507046 — hardware deploys in days/weeks, not seconds — changes pipeline architecture
- 2039244190350287094 — physical assembly admits fuzzy matching, not pass/fail
- 2039250556359991358 — how to define acceptable tolerance for physical builds?
- 2039253794840850652 — mutation complexity may push adoption of new building practices
Builders & orchestration
- 2039243924691440021 — pluggable builders; connected builders determine achievable states
- 2039250378190119110 — physical builders are non-deterministic — what error model applies?
- 2039250441939366371 — orchestrating builders with different capabilities and speeds
- 2039250772085621123 — how does the system measure current physical state?
- 2039251076030099666 — procurement must become an API
Immutable physical assembly
- 2039250949571780871 — build from scratch every time; components cached in a physical /nix/store
- 2039253173546909747 — immutable assembly works for few tasks today but may drive new methods
- 2039253253570109560 — rollback in the physical world means disassembly — orders of magnitude more expensive
Control theory connections
- 2039610431078334745 — CA’s need to observe reality = the sensor in control theory
- 2039610555078733864 — CA’s tolerance = dead band in control theory
- 2039614271353733238 — ISA’s formal dead band definition maps to CA’s tolerance
- 2039600765296386127 — a company is a physical system too; CA handles its physical layer
Modular assembly & scaling
- 2039381189363130402 — small robots can build copies of themselves and larger ones (MIT CBA)
- Discrete Modular Materials — reversible blocks enabling reconfiguration and reuse
- Material-Robot System — robot and material are the same blocks
- Hierarchical Assembly — small assemblers build bigger assemblers at each scale
- Exponential Assembly Scaling — self-replication + hierarchy → throughput O(2^N)
Open questions
- 2039243997596864711 — what language balances formal precision with accessibility for physical descriptions?
Sources
- Desired State Systems — the pattern: declarative over imperative with reconciliation (bib)
- NixOS — declarative OS as canonical desired-state system (bib)
- GitOps for Fleet Management — desired state applied to device fleets (bib)
- Self-Replicating Robotic Swarms — recursive + hierarchical physical assembly (bib)
Related MOCs
- Moc Feedback Loops — control theory and feedback loops underlying CA
- Moc AI Agents — agents that would use CA for physical deployment