Process-Improvement on jdcsen

One-Command Nova Sonic Dev Environments

Thu, 01 Jan 1970 00:33:44 +0000

Python provisioning system that stands up the complete Nova Sonic inference stack on one developer machine.
Deploys several Triton model containers plus the C++ node-graph orchestrator, wired together and ready to take speech-to-speech traffic.
Took a fifteen-person team from sharing a couple of hand-built demo environments to every engineer having their own.
Same pattern as L3Dockerize: make the right environment the cheap one.

Thu, 01 Jan 1970 00:33:42 +0000

The legacy ASR engine, roughly 500k lines of C++, was built by its owners with GCC and plain CMake for the cloud. The on-device team consumed it as a library across about 7 ARM toolchains from the Android NDK plus 4 x86 gcc/clang variants, through a Conan-based build layer.
Before: on-device releases were hand-curated snapshots of the upstream engine, maintained in forks of every ASR package and re-merged periodically. Each release took days at minimum and often weeks, as toolchain-specific breakage surfaced and needed patches.
Fix: point all engine code at a single virtual build-system package. In the cloud dependency universe it resolves to bare CMake; in the device universe it resolves to the Conan layer, which drives the same CMake underneath. About 40 packages converted; one source tree builds for all 12 toolchains.
Kept it that way with a pre-merge analyzer that compiles every pull request against the device toolchains before it can land, so device compatibility is checked at merge time rather than discovered at release time.

Thu, 01 Jan 1970 00:33:40 +0000

Python-based Docker container builder.
Dynamically resolves and fetches software component dependencies to build Docker images.
Intended to serve as a low/zero cost tool for developers to convert existing software installs to more easily monitorable, scalable, and extensible docker-based installations.
Concept evaluated in a system-wide CIT test of an L3Harris hardware product.

Thu, 01 Jan 1970 00:33:39 +0000

Python/Bash Scripting Toolkit for cross-project refactoring.
Uninvasive, agile solution to deal with problem of poorly-isolated dependencies impacting many components.
Core application written in Python, per-project scripts writable in any language.
Designed according to Unix ”simple, clear, modular, extensible” philosophy to facilitate integration into existing toolchains and processes.
Successfully deployed to automatically upgrade the dependencies of approx. 60 components without user intervention.