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bracevac/sai

Analysis updated 2026-07-10 · repo last pushed 2022-07-16

Audience · researcherComplexity · 5/5DormantSetup · hard

TLDR

Sai is a research project that speeds up static code analysis (bug and security scanning) by generating a custom-built analyzer for each program instead of using a slow, generic scanner.

Mindmap

mindmap
  root((repo))
    What it does
      Speeds up static analysis
      Generates custom analyzers
      Finds bugs before running
    How it works
      Multi-stage programming
      Meta-programming
      Specialized compiler output
    Use cases
      Study compilation techniques
      Build on published findings
      Explore testing optimization
    Audience
      Programming language researchers
      Academics
      Not for everyday developers
    Tech stack
      Specialized compiler libraries
      Research artifacts
    Papers
      OOPSLA submissions
      PEPM submissions
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What do people build with it?

USE CASE 1

Study advanced compilation and multi-stage programming techniques used to accelerate static analysis.

USE CASE 2

Reproduce or build upon the findings from the project's published OOPSLA and PEPM research papers.

USE CASE 3

Explore new approaches to optimizing how software is automatically tested and verified.

What is it built with?

Multi-stage programmingMeta-programmingCompiler libraries

How does it compare?

bracevac/sai0xhassaan/nn-from-scratch0xzgbot/hermes-comfyui-skills
Stars00
LanguagePython
Last pushed2022-07-16
MaintenanceDormant
Setup difficultyhardmoderateeasy
Complexity5/54/51/5
Audienceresearcherdeveloperdesigner

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1day+

Requires specialized compiler libraries and meta-programming toolchains, the README lacks detailed setup instructions for the current development version.

In plain English

Sai is a research project that makes a specific kind of software testing tool much faster. When developers write code, they use tools called "static analyzers" to automatically scan the program and find bugs or security issues before the code ever runs. The problem is that these scanners can be painfully slow on large codebases. This project speeds up that scanning process dramatically. It achieves this speed using a technique called "multi-stage programming." Instead of running the analysis step-by-step on a program, the tool essentially writes a customized, highly optimized piece of code specifically designed to analyze that exact program. Think of it like tailoring a suit rather than buying one off the rack. By generating a specialized tool for each piece of software it examines, the analysis avoids a lot of generic overhead and runs much faster. The primary audience for this project is programming language researchers and academics. The repository contains the code and artifacts for several published research papers, including submissions to conferences like OOPSLA and PEPM. A programming language researcher might use this code to study advanced compilation techniques, build upon the published findings, or explore new ways to optimize how software is tested and verified. It is not an off-the-shelf application meant for everyday developers to download and run. What is notable about the project is its heavy reliance on meta-programming, essentially writing code that writes other code. The README does not go into deep detail about the exact setup or how to configure the current development version, but it lists dependencies on specialized compiler libraries. This highlights that the project is a proof-of-concept exploring a cutting-edge tradeoff: investing extra effort upfront to generate a custom analyzer in order to save massive amounts of time during the actual scanning process.

Copy-paste prompts

Prompt 1
How do I use the Sai research artifacts to reproduce the static analysis speedup benchmarks from the OOPSLA or PEPM papers?
Prompt 2
Help me understand how Sai uses multi-stage programming to generate a specialized static analyzer for a given target program, and walk me through the concept with a simple analogy.
Prompt 3
What are the specialized compiler library dependencies required to build and run the Sai codebase, and how do I get started with exploring its meta-programming approach?
Prompt 4
Explain the tradeoff between upfront generation cost and scanning speed in Sai's approach compared to traditional step-by-step static analyzers.

Frequently asked questions

What is sai?

Sai is a research project that speeds up static code analysis (bug and security scanning) by generating a custom-built analyzer for each program instead of using a slow, generic scanner.

Is sai actively maintained?

Dormant — no commits in 2+ years (last push 2022-07-16).

How hard is sai to set up?

Setup difficulty is rated hard, with roughly 1day+ to a first successful run.

Who is sai for?

Mainly researcher.

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