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Persistent structural context and ultra-fast repeated analysis for AI coding agents

Project description

sourcecode

Persistent structural context and ultra-fast repeated analysis for AI coding agents.

Version Python


The problem

Every time an AI coding agent starts a new session, it has to re-parse the repository from scratch. For a large Java or TypeScript monolith, that means 5–15 seconds per invocation. Multiply by dozens of agent turns per hour, and repo context acquisition becomes a real bottleneck — not just latency, but tokens, compute, and iteration velocity.

sourcecode solves this with a persistent structural cache keyed on file content hashes. After the first scan, every subsequent invocation returns pre-built context in milliseconds. The repo doesn't change? The cache doesn't expire.

The cache is not a performance optimization. It is what makes sourcecode usable as infrastructure rather than a one-off tool.


Cache performance — measured on real repos

Repo Size Cold scan Cache hit Speedup
Keycloak 7,885 Java files 10.5s 0.6s ~17x
BroadleafCommerce 2,985 Java files 2.7s 0.3s ~9x

Cache keyed on content hashes — invalidated only when source changes. On repeated agent sessions against the same codebase, nearly every invocation is a cache hit.

Token output (measured):

Mode BroadleafCommerce Keycloak
--compact ~2,900 ~4,000
--agent ~4,800 ~5,500
onboard ~2,600 n/a
fix-bug (trimmed) ~27,000 ~4,600

What changes at 0.3s vs 2.7s

At 2.7s per call, you use sourcecode to occasionally inspect a repo.

At 0.3s per call, you use sourcecode as constant infrastructure inside agent loops:

agent loop iteration:
  1. sourcecode . --compact          # 0.3s — instant structural context
  2. sourcecode impact PaymentService . --depth 1   # 0.4s — blast radius check
  3. agent makes targeted change
  4. repeat

Sub-second context retrieval changes the cost model for agent workflows. You can call sourcecode before every edit, before every PR review, before every test run — without batching or caching calls manually.


Installation

Homebrew (macOS / Linux)

brew tap haroundominique/sourcecode
brew install sourcecode

pip / pipx

pip install sourcecode
# or with isolation:
pipx install sourcecode

Verify

sourcecode version
# sourcecode 1.39.0

Quickstart

# High-signal summary — warm cache: ~0.3s, cold: 2–10s depending on repo size
sourcecode --compact

# Add git hotspots and uncommitted file count
sourcecode --compact --git-context

# Structured output for AI agents — bounded, noise-free, ready to inject
sourcecode --agent

# Blast radius: what breaks if this class changes?
sourcecode impact OrderService /path/to/repo

# Spring Boot 2→3 migration readiness: javax→jakarta blockers, removed APIs
sourcecode migrate-check /path/to/repo

# Spring semantic audit: TX anomalies + security surface (free)
sourcecode spring-audit /path/to/repo

# Impact chain: systemic blast radius with TX/SEC enrichment (free)
sourcecode impact-chain OrderService /path/to/repo

# Event topology: publisher → event → consumer graph (free)
sourcecode impact-chain OrderPlacedEvent /path/to/repo --type events

# REST endpoint surface
sourcecode endpoints /path/to/repo

# Request-body validation per endpoint: constraints + custom validators (free)
sourcecode validation /path/to/repo

# Onboard to an unfamiliar codebase
sourcecode onboard /path/to/repo

# PR review: risk, test gaps, changed modules
sourcecode review-pr /path/to/repo --since main

# Bug triage: risk-ranked files by symptom
sourcecode fix-bug /path/to/repo --symptom "NullPointerException in checkout"

Cache system

sourcecode maintains a persistent cache at .sourcecode-cache/ inside each repository. Two layers:

  • L1 (core): analysis result keyed by (git_sha, analysis_flags). Survives format changes — you can regenerate --compact vs --agent views from the same core.
  • L2 (view): rendered output keyed by (core_hash, view_flags). Exact output match — no recomputation.

Lookup order: L2 exact hit → L1 hit + view rebuild → full cold scan

Cache invalidation: Keyed on git commit SHA. Any commit invalidates the core cache for that repo. Uncommitted changes are not cached.

# Inspect cache state
sourcecode cache status

# Warm the cache ahead of an agent session
sourcecode cache warm

# Clear cache
sourcecode cache clear

# Check RIS freshness relative to current git HEAD
sourcecode cache freshness

--no-cache bypasses both layers and forces a fresh scan. Use in CI or when you need to verify a fresh result.

Visibility: Cache hits are silent. Use sourcecode cache status to see cache size, hit keys, and last-warmed timestamp.


Agent workflow patterns

Start of session — structural grounding

# Inject as first message to agent (bounded, deterministic)
sourcecode /repo --compact              # ~2,500–4,000 tokens
sourcecode /repo --agent               # ~4,500–5,500 tokens — more detail
sourcecode onboard /repo               # task-structured: entry points, key files, gaps

Before every change — blast radius + TX/SEC check

# Always target the INTERFACE in Spring projects, not the implementation:
sourcecode impact OrderService /repo           # ✓ 30 callers, 11 endpoints
sourcecode impact OrderServiceImpl /repo       # ✗ 0 callers (Spring DI blindness)

# Impact chain: blast radius enriched with TX boundary and security surfaces
sourcecode impact-chain OrderService /repo

# Event topology: who publishes/consumes this event, and in what TX phase?
sourcecode impact-chain OrderPlacedEvent /repo --type events

# Spring audit: catch TX anomalies before they hit production
sourcecode spring-audit /repo --scope tx

Continuous agent loop — delta context

# Only changed files + their transitive importers — minimal token cost:
sourcecode prepare-context delta /repo --since HEAD~1
sourcecode . --changed-only --git-context

PR review — structured risk signal

# JSON for programmatic use:
sourcecode review-pr /repo --since main --output review.json
jq '.ci_decision' review.json    # "analysis_success" | "git_ref_error"

# Markdown for GitHub comment:
sourcecode review-pr /repo --since main --format github-comment

Bug triage — symptom-driven

# Specific symptoms produce the best signal:
sourcecode fix-bug /repo --symptom "OIDC token refresh fails after realm update"
sourcecode fix-bug /repo --symptom "NullPointerException in OrderService during checkout"

# Generic symptoms produce noisy output — be specific.
sourcecode fix-bug /repo --symptom "payment timeout" --output triage.json

In CI — cached, deterministic, fast

# Content-hash cached — safe to run on every commit; cold only when code changes
sourcecode /repo --compact --output context.json

# PR gate
sourcecode review-pr /repo --since $BASE_REF --output review.json
DECISION=$(jq -r '.ci_decision' review.json)
if [ "$DECISION" != "analysis_success" ]; then echo "Review failed: $DECISION"; fi

What sourcecode does (and doesn't)

sourcecode reduces exploration cost. It accelerates context acquisition and minimizes repeated repo parsing. It does not replace reading code — it reduces how often an agent needs to.

Specifically:

  • Extracts structural signals: entry points, Spring roles, REST surfaces, dependency graphs, transactional boundaries
  • Builds and caches these on first scan; serves from cache on subsequent calls
  • Produces bounded, noise-free JSON designed for direct injection into agent context windows
  • Computes blast radius (impact graph) from a class or interface, traversing reverse dependencies

What it does NOT do:

  • No runtime analysis — all signals are static (annotation, import graph, file structure)
  • No semantic code understanding — reads structure, not logic
  • No replacement for reading code — reduces how often that's needed, not whether
  • Architecture pattern detection best for Spring MVC layered apps; SPI/plugin architectures (e.g. Quarkus extension model) may be misclassified
  • Endpoint recall for JAX-RS subresource locator pattern is ~65%
  • impact on implementation classes (e.g. OrderServiceImpl) returns 0 callers in Spring Boot — callers inject the interface via @Autowired. Always target the interface. When direct_callers: [] with confidence_level: high for a @Service class, re-query the interface.
  • no_security_signal on endpoints means no recognized method-level annotation found — does not mean the endpoint is unsecured. Projects using Spring Security filter chains show 100% no_security_signal even when fully secured. Projects using a custom authorization annotation can teach the scanner via sourcecode.config.json.
  • spring-audit and impact-chain are Java/Spring only — non-Java repos return spring_detected: false
  • Event topology via --type events does not resolve Kafka/RabbitMQ/Redis message routes — only Spring ApplicationEvent and @EventListener chains
  • Self-invocation TX bypass (calling @Transactional method from the same class without going through the proxy) is not detected

Pricing

Two tiers. Gating is by repo size and automation — never by command. Every command runs at full power on Free for small and mid-size repos. You upgrade when the work gets bigger or automated.

Free — €0 Pro — €19/mo · €190/yr per dev
Repo size ≤ 500 Java source files > 500 Java files (enterprise monoliths)
Commands All of them, full output Same commands, unlocked at scale
impact / fix-bug / review-pr / modernize ✅ full on small repos ✅ full on large repos (Free gets a capped preview)
--full, git-churn ranking, uncapped graph/semantic ✅ on small repos ✅ on large repos
prepare-context delta 30 free runs/repo unlimited — CI/CD automation
prepare-context generate-tests small repos large repos
MCP local server (mcp serve)
Offline, no data egress, no account

Non-Java repos are free at any size — the size limit counts Java source files only, by design. sourcecode monetises enterprise Java monoliths.

sourcecode activate <key>      # activate a license key

Full breakdown: docs/PRODUCT_TIERS.md.


Command reference

--compact and --agent

Core flags. Feed directly to AI agents as first-message context.

Flag Output Tokens
--compact High-signal summary: stacks, entry points, dependencies, confidence, gaps ~2,500–4,000
--agent Structured JSON: identity, entry points, architecture, event flows ~4,500–5,500

impact — blast-radius analysis [free ≤500 Java files · Pro above]

sourcecode impact ClassName /path/to/repo
sourcecode impact org.example.OrderService /path/to/repo   # FQN also accepted
sourcecode impact OrderService . --depth 2                 # limit BFS depth
Field Description
direct_callers Classes that directly import or inject the target
indirect_callers Transitive callers up to --depth (default: 4)
endpoints_affected HTTP endpoints whose call chain includes the target
transactional_boundaries_touched @Transactional classes in the blast cone
mappers_affected @Repository / @Mapper / DAO classes in the blast cone
security_surface_affected Security policies on affected endpoints
cross_module_impact Subsystems touched, ordered by affected symbol count
risk_score 0–100 quantified change risk
confidence_score 0–1 confidence in the analysis
explanation Human-readable risk summary
candidates On partial match: up to 10 FQNs ranked by relevance

Best practices:

  • Target interfaces, not implementations: impact OrderService > impact OrderServiceImpl
  • Use --depth 1 when target has 200+ callers — direct endpoints are already the most actionable signal
  • Second impact run on the same repo is significantly faster (cache applies to underlying IR scan)

endpoints — REST API surface

sourcecode endpoints /path/to/repo
sourcecode endpoints /path/to/repo --output endpoints.json

Extracts all Spring MVC (@GetMapping, @PostMapping, @RequestMapping, etc.) and JAX-RS (@GET, @POST, @Path) endpoint methods. Returns HTTP method, path, controller class, and handler method.

Custom security annotations. Enterprise repos often guard endpoints with a bespoke annotation instead of @PreAuthorize/@Secured. Drop a sourcecode.config.json at the repo root to teach the scanner about it — otherwise those endpoints report policy: "none_detected":

{
  "customSecurityAnnotations": [
    {
      "fullyQualifiedName": "com.example.security.M3FiltroSeguridad",
      "shortName": "M3FiltroSeguridad",
      "resourceParam": "nombreRecurso",
      "levelParam": "nivelRequerido"
    }
  ]
}

Matching endpoints then report policy: "custom" with annotation, resourceName, and requiredLevel, and are no longer counted in no_security_signal. Repos without the config behave exactly as before.

spring-audit — Spring semantic audit [free]

sourcecode spring-audit /path/to/repo
sourcecode spring-audit /path/to/repo --scope tx           # TX anomalies only
sourcecode spring-audit /path/to/repo --scope security     # security surface only
sourcecode spring-audit /path/to/repo --min-severity high

# CI/CD gate: exit 1 on any finding
sourcecode spring-audit . --ci
sourcecode spring-audit . --ci --min-severity high         # exit 1 only on high/critical
sourcecode spring-audit . --ci --format github-comment     # Markdown output + exit 1

Detects structural Spring anomalies that survive code review and tests, but cause production failures:

Pattern Description
TX-001 @Transactional on private/final method — CGLIB proxy bypass, TX silently ignored
TX-002 REQUIRES_NEW nested inside REQUIRED call chain — unexpected transaction nesting
TX-003 readOnly=true boundary propagating to write operation
TX-004 NOT_SUPPORTED/NEVER called within active TX chain
TX-005 Exception swallowing inside @Transactional — silent TX rollback suppression
SEC-001 Unsecured endpoint in annotation-based security model
SEC-002 CVE-2025-41248: @PreAuthorize on inherited method from generic supertype
SEC-003 @Transactional on @Controller/@RestController — TX in wrong layer

Returns structured findings with severity, confidence, symbol, source_file, evidence, explanation, and fix_hint. JAVA/SPRING ONLY.

Endpoints guarded by a project-specific authorization annotation are treated as secured (not flagged SEC-001) once declared in sourcecode.config.json.

impact-chain — systemic blast radius with TX/SEC enrichment [free]

sourcecode impact-chain OrderService /path/to/repo
sourcecode impact-chain com.example.OrderService#placeOrder /path/to/repo
sourcecode impact-chain PaymentService . --depth 6

Unlike impact (which traces the caller graph), impact-chain builds on the SpringSemanticModel to enrich every step of the blast cone with transaction and security context:

Field Description
direct_callers Symbols that directly call the target
indirect_callers Transitive callers (BFS up to --depth hops, default: 4)
endpoints_affected HTTP endpoints reachable through the call chain
transaction_boundary @Transactional semantics on the target: propagation, isolation, readOnly
security_surfaces Per-endpoint security policy + SEC finding IDs
impact_findings TX-001..005 and SEC-001..003 findings that touch the call chain
risk_level critical | high | medium | low

Event topology — query the publisher/consumer graph for a Spring event class:

sourcecode impact-chain OrderPlacedEvent /path/to/repo --type events
Field Description
publishers FQNs that publish this event class
consumers Listeners with TX phase metadata (AFTER_COMMIT, BEFORE_COMMIT, etc.)
event_graph Publisher → event → consumer edges (BFS ≤ 2 hops)
transaction_context AFTER_COMMIT consumers, BEFORE_COMMIT risks
risk_level Derived from TX phase and consumer count

Limitations of event topology:

  • Resolves Spring ApplicationEvent / @EventListener chains only
  • Does not trace Kafka, RabbitMQ, Redis, or other message brokers
  • Does not detect self-invocation proxy bypass
  • Conditional beans (@ConditionalOnProperty) are not evaluated at analysis time

cold-start — RIS bootstrap context

sourcecode cold-start /path/to/repo
sourcecode cold-start /path/to/repo --compact   # ~10K token subset

Returns the Repository Intelligence Snapshot (RIS) instantly — zero re-analysis. The RIS is built by a prior warm cache pass and includes stacks, entry points, endpoint surface, and Spring semantic signals. Status field: cold_start_ready | cold_start_stale | no_ris.

Use --compact to get a ~10K token subset safe for direct LLM injection. Full snapshot ranges from ~100K–200K tokens on medium repos — use --output FILE for local search tooling.

repo-ir — symbol-level IR

sourcecode repo-ir /path/to/repo --summary-only                  # ~20K tokens
sourcecode repo-ir /path/to/repo --since HEAD~1                   # symbol-level diff
sourcecode repo-ir /path/to/repo --files src/.../OrderService.java
sourcecode repo-ir /path/to/repo --max-nodes 200 --max-edges 500  # limit graph size
sourcecode repo-ir /path/to/repo --output ir.json.gz --gzip       # compressed output (~70-80% smaller)
sourcecode repo-ir /path/to/repo --include-tests                   # include test files

Builds a deterministic symbol graph: classes, methods, import/injection edges, Spring roles, subsystems.

Size control flags:

Flag Description
--summary-only Omit full graph nodes/edges; keep analysis summary, impact, and change_set (<300KB typical)
--max-nodes N Keep top N nodes by impact score
--max-edges N Keep top N edges (priority: edges between kept nodes)
--gzip Compress output with gzip. Requires --output. ~70–80% smaller.
--force Bypass the 50K-token size guard and emit output anyway
--include-tests Include test source files (excluded by default)

Size warning: Without --summary-only, output can exceed 1MB for mid-size repos. Always use --summary-only unless you need the full graph for downstream tooling.

explain — architectural summary for a class

sourcecode explain UserService
sourcecode explain OrderController /path/to/repo
sourcecode explain UserService --format json

Human-readable architectural summary derived entirely from static analysis: Spring stereotype, public methods, incoming callers, outgoing dependencies, events published/consumed, @Transactional boundaries, security constraints, and related REST endpoints. JAVA/SPRING ONLY.

pr-impact — PR blast-radius report

sourcecode pr-impact --files changed_files.txt
sourcecode pr-impact /path/to/repo --files diff.txt --format json

Takes a file listing changed Java files (one path per line) and produces a consolidated report: modified classes, affected REST endpoints reachable through the call chain, direct callers of each changed class, event publishers/consumers triggered, @Transactional methods in changed classes, and a consolidated risk level (CRITICAL / HIGH / MEDIUM / LOW). JAVA/SPRING ONLY.

# Typical CI usage: pipe git diff to a file, then run
git diff --name-only main | grep '\.java$' > changed.txt
sourcecode pr-impact . --files changed.txt --format json

onboard — codebase orientation

sourcecode onboard /path/to/repo

Entry points, architecture summary, key files, confidence level, and gaps. Designed to be injected as agent context at the start of a session.

review-pr — PR review context [free ≤500 Java files · Pro above]

sourcecode review-pr /path/to/repo --since main
sourcecode review-pr /path/to/repo --since HEAD~3

Changed files, risk ranking, test coverage gaps, affected modules, and blast radius of changed classes. Returns a ci_decision field for CI/CD integration.

fix-bug — Bug triage context [free ≤500 Java files · Pro above]

sourcecode fix-bug /path/to/repo --symptom "NullPointerException in checkout"

Risk-ranked file list correlated to the symptom: keyword extraction, path matching, content matching, git commit correlation.

modernize — Modernization planning [free ≤500 Java files · Pro above]

sourcecode modernize /path/to/repo

High-coupling nodes (high fan-in = risky to change), dead zone candidates (isolated symbols), subsystem tangles.

migrate-check — Spring Boot 2→3 migration readiness

sourcecode migrate-check /path/to/repo
sourcecode migrate-check . --min-severity high
sourcecode migrate-check . --format text
sourcecode migrate-check . --output migration.json

Detects migration blockers across Java source files, Spring XML config files, and Maven/Gradle build files. 27 rules organized by target:

Jakarta namespace (MIG-001..009) — javax→jakarta

Rule Severity Pattern
MIG-001 critical javax.persistence import — JPA will not compile
MIG-002 high javax.servlet import — Servlet API changed
MIG-003 high javax.validation import — Bean Validation changed
MIG-004 high javax.transaction import — TX API changed
MIG-006 medium javax.annotation import — CDI annotations changed
MIG-007 medium javax.inject import — DI annotations changed
MIG-008 medium javax.ws.rs import — JAX-RS changed
MIG-009 medium javax.jms import — JMS API changed

Spring Security 6 (MIG-005, MIG-019, MIG-020)

Rule Severity Pattern
MIG-005 high extends WebSecurityConfigurerAdapter — removed in Spring Security 6
MIG-019 high SpringFox / @EnableSwagger2 — incompatible with Spring Boot 3
MIG-020 high antMatchers() / authorizeRequests() — replaced in Spring Security 6

Java version compatibility (MIG-010..025)

Rule Severity Pattern
MIG-010 critical SecurityManager / AccessController — removed in Java 17 (JEP 411)
MIG-011 high sun.* / com.sun.net.* internal API imports — strong encapsulation since Java 9
MIG-012 high Nashorn ScriptEngine — removed in Java 15
MIG-013 high sun.misc.Unsafe — requires --add-opens on Java 9+
MIG-014 medium setAccessible(true) — may throw InaccessibleObjectException on Java 17+
MIG-015 medium finalize() override — deprecated for removal since Java 18
MIG-016 low java.util.Date / Calendar / SimpleDateFormat — use java.time
MIG-021 high javax.xml.bind (JAXB) — removed from JDK in Java 11
MIG-022 high javax.xml.ws (JAX-WS) — removed from JDK in Java 11
MIG-023 critical org.omg.* / CORBA APIs — removed from JDK in Java 11
MIG-024 medium Thread.stop() / Thread.suspend() / Thread.resume() — deprecated for removal
MIG-025 medium ReflectionFactory / MethodHandles.privateLookupIn — JPMS deep-reflection risk

Spring XML config (MIG-030..032)

Rule Severity Pattern
MIG-030 high javax.* class reference in Spring XML bean definitions
MIG-031 high <http auto-config> or versioned spring-security ≤5 schema in XML
MIG-032 high web.xml with Servlet ≤4 namespace — must migrate to jakarta.ee

Build file dependencies (MIG-040..043)

Rule Severity Pattern
MIG-040 high io.springfox dependency — incompatible with Spring Boot 3
MIG-041 high Hibernate 5.x explicitly pinned — Spring Boot 3 requires Hibernate 6
MIG-042 medium ByteBuddy < 1.12.x — may not support Java 17+ strong encapsulation
MIG-043 high EhCache 2.x (net.sf.ehcache) — incompatible with Spring Boot 3

Each finding includes severity, title, source_file, first_line, explanation, fix_hint, migration_target, and openrewrite_recipe (when an automated recipe exists).

rename-class — Java class rename

sourcecode rename-class . --from ServiceA --to ServiceB
sourcecode rename-class /path/to/repo --from OrderManager --to OrderService
sourcecode rename-class . --from OldName --to NewName --dry-run
sourcecode rename-class . --from OldName --to NewName --no-tests   # src/main only

Renames a Java class safely throughout the repository: declaration, constructor, all import statements, type references (fields, params, return types), extends/implements, generics, casts, and Spring @Qualifier names. Renames the physical .java file. Emits a structured change audit trail (file, before_lines, after_lines, intent, diff).

Use --dry-run to preview changes without writing to disk.

chunk-file — split large Java files for agent consumption

sourcecode chunk-file BigService.java
sourcecode chunk-file BigService.java --max-lines 300
sourcecode chunk-file BigService.java --chunk 5          # read chunk 5 only
sourcecode chunk-file BigService.java --metadata-only    # boundaries only, no content

Splits a large Java file at method/class boundaries so AI agents can read files with 10K–25K+ lines in context-sized pieces. Each chunk includes chunk_id, start_line, end_line, chunk_type, symbol name, a context_header (package + class + imports summary), and content. A size_warning flag marks methods that exceed --max-lines and cannot be split further.

prepare-context — task-specific context

Low-level access to all tasks with full options:

sourcecode prepare-context TASK [PATH] [OPTIONS]
Task What it surfaces
explain Architecture, entry points, key dependencies
onboard Full structural context for new agents/developers
fix-bug Files ranked by symptom correlation, risk, annotations
refactor Structural issues, improvement opportunities
generate-tests Source files without test pairs, coverage gap analysis
review-pr PR diff with risk ranking, test gaps, module impact
delta Incremental context: git-changed files + transitive import graph

Flags reference

Flag Alias Default Description
--compact off High-signal summary (typically 2,500–4,000 tokens for mid-to-large Java repos): stacks, entry points, dependencies, confidence, gaps.
--agent off Structured JSON for AI agents: project identity, entry points, architecture, dependencies, confidence. ~4,500–5,500 tokens.
--full off Remove truncation limits on transactional_boundaries, mybatis.dto_mappers, and other capped lists.
--git-context -g off Include git activity: recent commits, change hotspots, and uncommitted file count.
--changed-only off Limit output to git-modified files (staged, unstaged, untracked).
--depth 4 File tree traversal depth (1–20). Java/Maven projects auto-adjust to 12.
--format -f json Output format: json or yaml.
--output -o stdout Write output to a file instead of stdout.
--no-cache off Bypass scan cache and force a fresh analysis.
--copy -c off Copy output to clipboard after a successful run.
--no-redact off Disable automatic secret redaction.
--version -v Show version and exit.

Output schema

All outputs include:

  • schema_version: output format version
  • confidence_summary: overall, stack, entry_points confidence levels (high/medium/low)
  • analysis_gaps: list of what could not be analyzed and why

Java/Spring-specific fields (when detected)

Field Description
language_version Java version from maven.compiler.source or equivalent
deployment.spring_boot_version Spring Boot version
deployment.packaging jar or war
mybatis Mapper interface / XML file pairing summary
transactional_boundaries Classes annotated with @Transactional
deployment_risks Static risk flags: spring-boot-2.x-eol, legacy-java-runtime

Telemetry

Anonymous, opt-in. Collects: version, OS, commands, flags, duration, repo size range, errors. No source code, paths, secrets, or output content.

sourcecode telemetry status
sourcecode telemetry enable
sourcecode telemetry disable

Or: export SOURCECODE_TELEMETRY=0


Configuration

sourcecode config    # show version, config file path, telemetry status

sourcecode.config.json (repo root)

Optional, per-repo. Loaded from the root of the repo being analyzed. Absent or malformed config is ignored — the tool behaves exactly as without it.

Custom security annotations. Teach endpoints, spring-audit, and explain about project-specific authorization annotations (otherwise reported as policy: "none_detected"):

{
  "customSecurityAnnotations": [
    {
      "fullyQualifiedName": "com.example.security.M3FiltroSeguridad",
      "shortName": "M3FiltroSeguridad",
      "resourceParam": "nombreRecurso",
      "levelParam": "nivelRequerido"
    }
  ]
}

resourceParam / levelParam are optional and name the annotation attributes to surface as resourceName / requiredLevel. Matching endpoints report policy: "custom" and drop out of the no_security_signal count.

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