pith. sign in

arxiv: 2605.14863 · v1 · pith:EMIYBAERnew · submitted 2026-05-14 · 💻 cs.DC

Embedded Made Easy -- Rethinking Embedded + Cloud Software Development (WIP)

Anthony Arnold , Mark Marron This is my paper

Pith reviewed 2026-06-30 20:17 UTC · model grok-4.3

classification 💻 cs.DC
keywords embedded systemscloud computingunified runtimedistributed debuggingedge computingretargetable languagesoftware deployment
0
0 comments X

The pith

A single language and runtime allows code to be written once and deployed from resource-limited controllers to cloud servers with integrated debugging.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper identifies the fragmented stacks and debugging difficulties that arise when different languages run on embedded devices versus cloud servers. It proposes a retargetable language and runtime that removes the need to decide upfront which components run where. Applications would be developed and tested in one environment, then retargeted across the full range of hardware. Integrated tools would let developers record and replay distributed events locally for analysis. This vision aims to collapse the current separation between edge and cloud development workflows.

Core claim

The central claim is that a single retargetable language and runtime system can support development, deployment, and debugging of applications across the full spectrum from severely constrained embedded controllers to large cloud servers, eliminating the need for multiple distinct stacks and providing unified diagnostics for distributed failures.

What carries the argument

The retargetable language and runtime system that compiles to targets ranging from microcontrollers to servers while supporting local record-and-replay of distributed events.

If this is right

  • Developers no longer make permanent decisions about which components run on the edge versus in the cloud.
  • Testing occurs in a single environment before any deployment decisions.
  • Distributed failures can be diagnosed by replaying recorded events locally rather than across multiple stacks.
  • The same source code base serves both embedded controllers and cloud servers.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Such a system could reduce the total number of languages and toolchains that teams must maintain for edge-to-cloud products.
  • It would allow treating the entire distributed application as a single logical program during initial development and debugging phases.
  • A concrete next step would be to identify the minimal set of language features needed to support both ends of the hardware spectrum without custom extensions.

Load-bearing premise

A single runtime can be made efficient on both tiny embedded devices and powerful servers without unacceptable performance or resource trade-offs.

What would settle it

Build a prototype implementation, measure its memory footprint and execution time on a typical microcontroller and on a cloud server instance, and verify whether distributed event replay functions across the two without requiring separate debuggers.

Figures

Figures reproduced from arXiv: 2605.14863 by Anthony Arnold, Mark Marron.

Figure 1
Figure 1. Figure 1: Using the yield construct to manage success and failure paths in Bosqe. modes ranging from software errors to intermittent network issues. Oddly, most programming languages and runtimes provide very little support for handling failures and focus most features on supporting “happy path” execution. When failures inevitably occur, developers are often left with a primitive set of tools, such as logging and co… view at source ↗
read the original abstract

The process of engineering and deploying applications in the edge/embedded space is massively complicated by the non-homogeneous nature of the software stack and the complexity of diagnostics & debugging. Often different languages and runtimes are used for different components of the system forcing designers to, irrevocably, make decisions about what components run on the periphery and what components run in the cloud. Further complications arise when handling and diagnosing failures in the system. Multiple stacks and, often, limited support for debugging complicate the already difficult task of analyzing distributed applications. This paper presents a work-in-progress vision for a unified language and runtime system that allows applications to scale seamlessly across the edge and cloud. Using a single language and runtime, applications can be developed and tested in a single environment, and then deployed to any component of the system -- from resource limited controllers to large cloud servers. Further, we outline how this retargetable stack can provide integrated diagnostics and debugging tools that allow developers to record and replay distributed events locally for analysis and debugging.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 0 minor

Summary. The manuscript presents a work-in-progress vision for a unified language and runtime system that enables applications to be developed and tested in a single environment and then deployed across the spectrum from resource-limited embedded controllers to cloud servers. It also outlines integrated diagnostics and debugging capabilities for distributed events.

Significance. If successfully implemented, the proposed retargetable stack could substantially simplify the engineering of edge-cloud applications by removing the need for multiple heterogeneous software stacks and improving debugging of distributed systems. However, the current manuscript contains no technical details, designs, or analysis, leaving the significance as purely aspirational.

major comments (1)
  1. Overall: The paper provides only a high-level vision without any concrete language design, runtime mechanisms, retargeting strategy, resource model, or debugging protocol. This absence is load-bearing because the central claim of feasibility for a single stack supporting both severely constrained devices and high-performance servers cannot be assessed without such details.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their review. We address the single major comment below, noting that the manuscript is explicitly presented as a work-in-progress vision paper.

read point-by-point responses

  1. Referee: Overall: The paper provides only a high-level vision without any concrete language design, runtime mechanisms, retargeting strategy, resource model, or debugging protocol. This absence is load-bearing because the central claim of feasibility for a single stack supporting both severely constrained devices and high-performance servers cannot be assessed without such details.

    Authors: We agree that the manuscript contains no concrete designs or implementations, as it is a vision paper whose purpose is to articulate an overall approach rather than deliver a completed system. The central claim is therefore presented at a conceptual level. In revision we will add a new section that sketches, at a high level, candidate language primitives, a retargeting model based on resource annotations, and an event-recording protocol for diagnostics. These additions will remain aspirational and will explicitly defer detailed designs and feasibility analysis to future implementation work. revision: partial

Circularity Check

0 steps flagged

No significant circularity identified

full rationale

The manuscript is explicitly labeled a work-in-progress vision paper. It states an aspirational goal of a unified language/runtime for edge-to-cloud deployment and sketches high-level benefits, but supplies no language design, runtime mechanisms, equations, retargeting strategy, resource model, debugging protocol, or quantitative claims. With no derivation chain or fitted inputs present, no steps reduce by construction to self-definition, self-citation, or renaming. The paper is self-contained as a high-level outline against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 1 invented entities

The central proposal rests on the existence of an as-yet-undesigned unified language/runtime (an invented entity) whose feasibility is not demonstrated. No free parameters or standard axioms are invoked because no formal model is presented.

invented entities (1)
  • unified retargetable language and runtime stack no independent evidence
    purpose: to allow single-environment development and seamless deployment across edge and cloud with integrated diagnostics
    The paper postulates this stack as the solution to the described heterogeneity problems but provides no evidence or design details.

pith-pipeline@v0.9.1-grok · 5700 in / 1067 out tokens · 45874 ms · 2026-06-30T20:17:15.556214+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

23 extracted references · 2 canonical work pages

  1. [1]

    Anthony Arnold and Mark Marron. 2025. Catalpa: GC for a Low- Variance Software Stack.https://arxiv.org/abs/2509.13429

    work page arXiv 2025

  2. [2]

    Vaggelis Atlidakis, Patrice Godefroid, and Marina Polishchuk. 2019. RESTler: Stateful REST API Fuzzing(ICSE)

    2019

  3. [3]

    Jens Axboe. 2025. io_uring.https://github.com/axboe/liburing/

    2025

  4. [4]

    Barr, Mark Marron, Ed Maurer, Dan Moseley, and Gaurav Seth

    Earl T. Barr, Mark Marron, Ed Maurer, Dan Moseley, and Gaurav Seth

  5. [5]

    Time-travel Debugging for JavaScript/Node.Js(FSE)

  6. [6]

    Chromium Project.https://www.chromium.org/

    Chromium 2025. Chromium Project.https://www.chromium.org/

    2025

  7. [7]

    DeviceScript.https://github.com/microsoft/ devicescript

    DeviceScript 2025. DeviceScript.https://github.com/microsoft/ devicescript

    2025

  8. [8]

    Barr, and Mark Marron

    Stephen Goldbaum, Attila Mihaly, Tosha Ellison, Earl T. Barr, and Mark Marron. 2022. High Assurance Software for Financial Regulation and Business Platforms(VMCAI)

    2022

  9. [9]

    2018.A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications

    Jonathan Goldstein, Ahmed Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Umar Farooq Minhas, Ryan Newton, Rahee Ghosh Peshawaria, Tal Zaccai, and Irene Zhang. 2018.A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications. Technical Report

    2018

  10. [10]

    Jan Hoffmann, Ankush Das, and Shu-Chun Weng. 2017. Towards Automatic Resource Bound Analysis for OCaml(POPL)

    2017

  11. [11]

    JavaScript Promises.https: //developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/ Global_Objects/Promise

    JavaScript Promises 2025. JavaScript Promises.https: //developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/ Global_Objects/Promise

    2025

  12. [12]

    JSON-RPC Specification.https://www.jsonrpc.org/ specification

    JSON-RPC 2025. JSON-RPC Specification.https://www.jsonrpc.org/ specification

    2025

  13. [13]

    eBPF Documentation.https://ebpf.io/

    Linux Kernel Offload 2019. eBPF Documentation.https://ebpf.io/

    2019

  14. [14]

    Anil Madhavapeddy, Richard Mortier, Charalampos Rotsos, David Scott, Balraj Singh, Thomas Gazagnaire, Steven Smith, Steven Hand, and Jon Crowcroft. 2013. Unikernels: Library Operating Systems for the Cloud(ASPLOS)

    2013

  15. [15]

    Mark Marron. 2023. Toward Programming Languages for Reasoning: Humans, Symbolic Systems, and AI Agents(Onward!)

    2023

  16. [16]

    Mark Marron. 2024. A Programming Language for Data and Configu- ration!(Onward!)

    2024

  17. [17]

    Mark Marron. 2026. Toward an Agentic Infused Software Ecosystem. arXiv:2602.20979https://arxiv.org/abs/2602.20979

    work page arXiv 2026

  18. [18]

    MicroPython.https://micropython.org/

    MicroPython 2025. MicroPython.https://micropython.org/

    2025

  19. [19]

    Correlation ID

    Microsoft Engineering Playbook 2025. Correlation ID. https://microsoft.github.io/code-with-engineering-playbook/ Embedded Made Easy – Rethinking Embedded + Cloud Software Development (WIP) observability/correlation-id/

    2025

  20. [20]

    Node-API.https://nodejs.org/api/n-api.html

    N-API 2025. Node-API.https://nodejs.org/api/n-api.html

    2025

  21. [21]

    Ed Nightingale. 2019. A View from Industry: Securing IoT with Azure Sphere(HotMobile)

    2019

  22. [22]

    OpenAPI 3.0 Format.https://swagger.io/specification/

    OpenAPI 2025. OpenAPI 3.0 Format.https://swagger.io/specification/

    2025

  23. [23]

    Embedded Swift.https://docs.swift.org/embedded/ documentation/embedded/

    Swift 2025. Embedded Swift.https://docs.swift.org/embedded/ documentation/embedded/

    2025