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

Project description

ASK Engine

ASK — Actionable Software Knowledge. Persistent structural intelligence for AI coding agents.

Context · Impact · Migration · Architecture · Review — everything from one structural model.

Version Python

ASK Engine is the product. The CLI command is ask. The legacy sourcecode command still works as a deprecated alias (it prints a one-line notice and forwards to ask) and remains the Python/PyPI package name for now. The authoritative version is whatever ask version reports. See docs/PRODUCT_IDENTITY.md.


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.

ASK Engine 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 ASK Engine usable as infrastructure rather than a one-off tool.


Proof — 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.

At 0.3s per call, ASK Engine becomes constant infrastructure inside agent loops — call it before every edit, every PR review, every test run, without batching or caching manually.

What a warm actually covers. ask cache warm runs the compact analysis: it rebuilds the shared structural layers (L1/L2 + the Repository Intelligence Snapshot) and the compact view. Pass --agent to warm the agent view as well. Deeper projections are separate view keys and are not covered by either — --full, --env-map and a raised --depth recompute on first use, as do most prepare-context tasks. Measured on a 3,342-file Spring monolith: cache warm 103s → --compact --git-context 1s (hit), but --agent --full --env-map --depth 20 still 171s (miss). Budget the deep run explicitly in CI, or warm exactly the view your pipeline consumes. Full model: USER_GUIDE.md#caching.


Install

# Homebrew (macOS / Linux)
brew tap haroundominique/sourcecode && brew install sourcecode

# pip / pipx
pipx install sourcecode        # or: pip install sourcecode

ask version                    # ask 2.5.1

Package vs. command. The install package is named sourcecode this release (renaming the distribution is a separate, breaking change). Installing it gives you the canonical ask command plus the deprecated sourcecode alias.


Quickstart

Start with these four. In three independent field evaluations they carried most of the measured value, and posture --diff is the one no evaluator found an equivalent for — commercial or open source.

# What does each profile set ACTUALLY wire — and what changes between them?
# Resolves conditional beans and the filter chain, then diffs effective endpoint access.
ask posture /path/to/repo --diff dev:prod

# Every REST endpoint with its effective path (context-path + servlet path resolved),
# its inferred security policy and a confidence per endpoint.
ask endpoints /path/to/repo

# Spring semantic audit: transactional anomalies (private @Transactional = silent
# CGLIB no-op), security surface, request-body validation.
ask spring-audit /path/to/repo

# Spring Boot 2→3 readiness: located blockers, per-dimension score, effort estimate.
ask migrate-check /path/to/repo --compact

Then the everyday loop:

# High-signal structural summary — warm cache ~0.3s, cold 2–10s
ask --compact

# Blast radius: what breaks if this class changes?  (target the INTERFACE, not the Impl)
ask impact OrderService /path/to/repo

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

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

# CI gate on NEW violations only, instead of on pre-existing debt
ask verify /path/to/repo --capture-baseline   # accept today's debt, once
ask verify /path/to/repo                      # then: only new violations block

Adopting a gate on a real codebase. A repository that starts declaring contracts already violates them somewhere; ask verify is baseline-relative by default (--fail-on new) so the gate survives contact with reality instead of being switched off on day one. ask baseline capture|diff|trend is a different thing: versioned architectural metrics over time, for trend reporting rather than blocking.

Full command reference: docs/USER_GUIDE.md · posture in depth: docs/posture.md.


Capabilities

Everything is computed from one cached structural model. Seven groups:

1 · Structural Context

Bounded, noise-free repo context designed to drop straight into an agent's context window. ask --compact · ask --agent · ask onboard · ask cold-startreference

2 · Impact Analysis

Blast radius from a class or interface — reverse dependencies, through Spring DI, to the HTTP endpoints a change reaches. ask impact · ask impact-chain (TX/SEC-enriched) · ask pr-impactreference

3 · Architecture Intelligence

The system map: module graph, dependency views, REST surface, per-class summaries, and a symbol-level IR for downstream tooling. ask export · ask repo-ir · ask endpoints · ask explainreference

4 · Migration & Modernization

Is this codebase ready to upgrade? Per-dimension readiness (Jakarta / Spring Boot / JDK / Hibernate), located blockers, an effort estimate, and — with --blast-radius — the endpoints whose call path runs through each blocker, so the re-test plan is ordered by regression scope. ask migrate-check · ask modernizemigrate-check reference · MODERNIZATION.md

5 · Spring Analysis

Deterministic Spring semantics: transactional anomalies (e.g. @Transactional on a private method = silent CGLIB no-op), security surface, request-body validation. ask spring-audit · ask validationreference

5b · Runtime Posture (experimental — and the most differentiated thing here)

What a profile set actually wires: which conditional beans register, which do not, and which conditions could not be decided at all — then the effective endpoint access that follows from the filter chain. --diff answers the question nobody else answers in one command: what changes between dev and prod, across every endpoint at once. ask posture · ask posture --diff dev:prod · ask posture --property k=vposture.md

Unresolved is a first-class outcome: a condition the resolver cannot decide is reported as a hole with the condition named, never folded into active or inactive. A posture answer that guesses is a confident security falsehood — the worst failure mode this tool has.

6 · Developer Workflows

The everyday loop: diff-based PR review, symptom-driven bug triage, and delta context for continuous agent runs. ask review-pr · ask fix-bug · ask prepare-contextreference

7 · Utilities

ask rename-class (word-boundary Java rename) · ask chunk-file (split large files for agents) · ask cache (status / warm / clear / freshness) → reference


Every command, in one table

ask --help shows a short header; this is the full surface. If you only read one row, read posture.

Command Answers Note
posture which beans a profile set wires, and how effective endpoint access differs between two sets experimental, most differentiated
endpoints every REST endpoint, effective path, security policy, confidence Spring MVC + JAX-RS (~65 % recall on JAX-RS sub-resource locators)
spring-audit transactional anomalies + security surface + validation gaps --ci, -f github-comment
migrate-check Boot 2→3 readiness: located blockers, per-dimension score, effort --blast-radius orders the re-test plan
impact / impact-chain blast radius of a change, to the endpoints it reaches target the interface, not the Impl
pr-impact the same, scoped to a PR diff gating command: --fail-on, exit codes
verify does the repo satisfy its declared contracts, relative to a baseline .ask/contracts.yml; exit 0/1/2
verify-edit did the working-tree edits change runtime behaviour semantic diff gate for the edit loop
--compact / --agent bounded structural context for an agent --compact is the token-cheap one
onboard / explain / cold-start orientation in an unfamiliar repo; per-class summary; bootstrap snapshot
export / repo-ir / schema tool-agnostic views (C4, module graph, integrations); symbol-level IR; published JSON Schemas
modernize coupling hubs, cycles, dead zones, refactor candidates
review-pr / fix-bug / prepare-context diff review, symptom triage, task-shaped context
plan / compare / delta / contract-diff what to review for a change; candidates by measured cost; outcome of a change; public-contract break no verdicts, measured cost only
validation request-body validation coverage and gaps
baseline capture|diff|trend versioned architectural metrics over time trend reporting, not gating
retrieve typed knowledge queries over the model experimental
archetype evidence-based architectural archetype experimental
rename-class / chunk-file word-boundary Java rename; split a large file for an agent
cache status|warm|clear · auth · telemetry · mcp · config · version housekeeping

What it does — and doesn't

ASK Engine reduces exploration cost. It accelerates context acquisition and computes blast radius; it does not replace reading code — it reduces how often an agent needs to. All signals are static and deterministic (annotations, import graph, file structure) — no runtime analysis, no LLM guessing.

Honest limits worth knowing before you rely on it:

  • impact on an implementation class (OrderServiceImpl) returns 0 callers in Spring Boot — callers inject the interface. Always target the interface.
  • no_security_signal on an endpoint means no recognized method-level annotation, not "unsecured" — Spring Security filter chains and custom authorization annotations show as no_security_signal unless taught via config (below).
  • spring-audit / impact-chain are Java/Spring only; non-Java repos return spring_detected: false.
  • Event topology (--type events) resolves Spring ApplicationEvent / @EventListener chains only — not Kafka/RabbitMQ/Redis routes.
  • Architecture classification is tuned for Spring MVC layered apps; SPI/plugin models (e.g. Quarkus extensions) may be misclassified. JAX-RS subresource-locator endpoint recall is ~65%.
  • Self-invocation @Transactional bypass (same-class call skipping the proxy) is not detected.

Pricing

🎉 Early-adoption: Pro is currently unlocked for everyone. Every install runs with full Pro entitlements — no size gate, no key. The tiers below describe the model the paywall will return to later.

What that means concretely. ask auth status reports "status": "unauthenticated" together with "pro": true, "pro_reason": "early-adoption unlock" — that combination is expected, not a bug: you are unauthenticated and unlocked. When the unlock ends, gating returns by repo size and automation, never by command: posture, endpoints, spring-audit and migrate-check stay in the base tier at full output. Nothing you can run today becomes a paid-only command tomorrow.

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)
prepare-context delta 30 free runs/repo unlimited — CI/CD automation
MCP local server, offline, no data egress

Non-Java repos are free at any size — the size limit counts Java source files only. ASK Engine monetises enterprise Java monoliths. Activate with ask activate <key>. Full breakdown: docs/PRODUCT_TIERS.md.


Configuration & privacy

ask config              # version, config file path, telemetry status
ask telemetry disable   # anonymous telemetry is on by default (opt-out)

Telemetry collects version, OS, commands, flags, duration, repo-size range, and errors — no source code, paths, secrets, or output. Disable any time with export SOURCECODE_TELEMETRY=0 (or DO_NOT_TRACK=1). It defaults to off in CI.

Auditing someone else's code — regulated, client-owned or public-sector? Turn it off before the first run, not after: SOURCECODE_TELEMETRY=0 ask …, or ask telemetry disable once (remembered). The default is opt-out today; moving it to opt-in is on the roadmap (docs/DEFECT-LEDGER.md P-1) precisely because a default you must remember to disable is the wrong default for third-party code.

Custom security annotations. Teach endpoints, spring-audit, and explain about project-specific authorization annotations via an optional sourcecode.config.json at the repo root (otherwise they report policy: "none_detected"):

{
  "customSecurityAnnotations": [
    { "fullyQualifiedName": "com.example.security.CustomSecurityAnnotation", "shortName": "CustomSecurityAnnotation" }
  ]
}

Matching endpoints report policy: "custom" and drop out of the no_security_signal count.


Documentation

Doc What it covers
USER_GUIDE.md Full command reference, flags, output schema, workflows
contracts.md Declare invariants in .ask/contracts.yml, enforce them in the edit loop and in CI
posture.md What a profile set actually wires — down to which endpoints its filter chain permits — and what could not be decided (experimental)
migrate-check.md Migration rule catalogue (MIG-001..043) + Hibernate stratification
MODERNIZATION.md The modernization product: assess → understand → plan → execute
PRODUCT_TIERS.md Free vs Pro, pricing model
DEMO-5MIN.md A reproducible 5-minute demo
MANUAL-USUARIO.md Guía de usuario en español
PRODUCT_IDENTITY.md ask (command) vs sourcecode (package/alias)
privacy.md Telemetry and data-handling policy
DEFECT-LEDGER.md Every defect found in the field, its class, and which release closed it — published on purpose

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