sourcecode 1.13.0

Deterministic codebase context for AI coding agents

sourcecode

Deterministic codebase context for AI coding agents.

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What is it?

sourcecode analyzes a repository and produces a structured context map (JSON or YAML) designed to be consumed by AI agents or language models. It solves the "stuff the whole repo into the prompt" problem by instead producing a deterministic extract: entry points, dependencies, stacks, inline annotations, environment variables, and git activity. It is an MVP tool under active evolution — the semantic analysis and module graph features work but have known limitations that are explicitly documented below.

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Installation

Prerequisites: Python 3.10+

pip install sourcecode
# or with pipx for isolation:
pipx install sourcecode

Verify installation:

sourcecode version
# sourcecode 1.0.0

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Quickstart

The primary command — a high-signal, low-noise summary for Java/Spring codebases:

sourcecode --compact
# ~600-800 tokens: stack, entry points, dependencies, risk flags, confidence.

sourcecode --compact --git-context
# Adds git hotspots and uncommitted file count.

sourcecode --compact --copy
# Copies the result to clipboard.

Example output for a Spring Boot project:

{
  "project_type": "api",
  "stacks": [{ "stack": "java", "frameworks": ["Spring Boot", "MyBatis"] }],
  "entry_points": {
    "bootstrap": ["src/main/java/io/spring/RealWorldApplication.java"],
    "security": ["src/main/java/io/spring/api/security/WebSecurityConfig.java"],
    "controllers": { "count": 8, "sample": [...] }
  },
  "key_dependencies": [
    { "name": "org.mybatis.spring.boot:mybatis-spring-boot-starter",
      "version": "2.2.2", "risk_flags": ["spring-boot-2.x-eol"] }
  ],
  "language_version": "11",
  "deployment": { "spring_boot_version": "2.6.3" },
  "mybatis": { "mapper_interfaces": 4, "xml_files": 4 },
  "confidence_summary": { "overall": "high" }
}

For full structured output with per-file contracts and signals, use --agent:

sourcecode --agent

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Flags reference

Global options

Flag	Alias	Type	Default	Description
--compact		flag	off	Recommended. ~600-800 token summary: stack, entry points, deps, risk flags, confidence.
--git-context	-g	flag	off	Adds git hotspots (top changed files), branch, uncommitted file count. Use with --compact.
--agent		flag	off	Full structured JSON for AI agents. Auto-enables dependency, env-var, and code-notes analysis.
--changed-only		flag	off	Limit output to git-modified files (staged, unstaged, untracked).
--depth		INT [1–20]	4	File tree traversal depth. Java projects auto-adjust to 12.
--format	-f	json|yaml	json	Output format. JSON preferred in pipelines.
--output	-o	PATH	stdout	Write output to a file instead of stdout.
--copy	-c	flag	off	Copy output to clipboard after a successful run.
--no-redact		flag	off	Disable automatic secret redaction. Output may contain sensitive values.
--version	-v	flag	—	Show version and exit.

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Subcommands

prepare-context TASK [PATH]

Generates task-specific context for AI agents.

Task	Description	Status
explain	Architecture, entry points, key dependencies	✅ CORE
fix-bug	Files prioritized by risk, inline annotations	✅ CORE
onboard	Full context for new agents or developers	✅ CORE
delta	Incremental context: only files changed in git	✅ CORE
refactor	Structural problems, improvement opportunities	🧪 EXP
generate-tests	Files without tests, coverage gap analysis	🧪 EXP
review-pr	Changed files + architectural impact	🧪 EXP