Adakah teknologi yang didakwa sesebuah syarikat itu benar-benar wujud? DDE membaca pangkalan kod untuk mengesahkan dakwaan teknikal serta menangkap pemalsuan dan AI-washing — kemudian menanda arasnya berbanding industri dan pesaing dan menilai kelemahan anda sendiri, semuanya dari IDE anda.
+ Parallel Atlas 4-Axis (35% Crypto Core)
+ 30-Item × 10-Co. Capability Matrix
With Data Provenance Box & Source Appendix
Runs inside your existing IDE AI subscription
Due Diligence Engine (DDE) ialah alat baris perintah sumber terbuka yang mengubah ejen AI dalam IDE anda — Claude Code, OpenAI Codex CLI, Google Gemini CLI, Antigravity, Cursor, GitHub Copilot — dikuasakan oleh Claude Opus 5.5 / Sonnet 5.5, Gemini 4 Argon, GPT-5, dan lain-lain — menjadi penganalisis teknikal bertaraf dunia. Ia membaca keseluruhan pangkalan kod mana-mana sasaran — syarikat portfolio, sasaran pemerolehan, pesaing, atau pasukan anda sendiri — mengesahkan sama ada teknologi yang didakwa benar-benar dilaksanakan, menyelidik pasaran dan pesaing secara masa nyata, serta menilai kekuatan dan kelemahan merentas pelbagai dimensi berwajaran menjadi laporan PDF bertaraf perundingan dalam folder Muat Turun anda. Semuanya berjalan secara setempat di dalam kotak pasir AI IDE anda — tanpa kunci API, pelayan pihak ketiga, telemetri, atau kos tambahan.
Generic AI code reviewers stop at checkbox compliance ('Has auth? ✓ Has HTTPS? ✓'). DDE inspects actual cryptographic primitives (Signal Protocol, PQXDH + ML-KEM-1024, libsignal/BoringSSL FFI vs. self-rolled crypto), concurrency models, and live 2026 market sources.
Eliminates stale training-cutoff analysis. Before inspecting the repo, the agent searches 2026 competitor acquisitions, shutdowns, funding rounds, CVEs, and regulatory shifts. Every matrix cell carries source URLs + verification dates, surfaced in the PDF Data Provenance Box.
"data_freshness": {
"web_search_performed": true,
"search_date": "2026-10-22",
"queries_executed": 14,
"sources_cited": 28
}In v0.6.2, heuristic false positives (git rebase timestamp diffs, high-velocity commits, documentation buzzword counts) are silently discarded and blocked by _filter_red_flags. Only genuine code-level security gaps, race conditions, and logic bugs with exact file:line and fix plans appear.
{
"severity": "HIGH",
"file_path": "src/crypto/session.rs:142",
"title": "Nonce reuse risk on concurrent retry",
"description": "Use atomic counter or ChaCha20Poly1305 random nonce..."
}Third-party badges (SOC2, ISO, HIPAA) are reference-only and never scored. DDE audits 4 claim-vs-code consistency checks plus 6 code-measured capabilities: Cryptographic depth, Concurrency model, I/O patterns, Caching architecture, Scalability, and ML implementation depth.
Claim vs Code (4): Pitch accuracy / Feature completeness
Code Measured (6): Crypto FFI / Concurrency / I/O / Cache / Scale / MLSetiap dek mendakwa "dikuasakan AI." Sedikit yang dapat membuktikannya. Penilaian wajar teknikal lambat, mahal, dan sukar diskalakan merentas saluran paip.
Bahasa pemasaran melebih-lebihkan — atau merekacipta — keupayaan yang tidak disokong oleh pangkalan kod. Mengesan jurang itu memakan masa seorang jurutera kanan.
Membaca pangkalan kod, memetakan seni bina, dan menanda aras pesaing bagi setiap perjanjian memakan masa kerja pakar berhari-hari yang jarang anda ada.
Tanpa garis dasar teknikal yang objektif, keputusan harga dan risiko bersandar pada naratif pengasas dan bukannya bukti.
Every report delivers both the balanced 5-Dimension Standard Score (equal 20% weights) and the parallel Atlas 4-Axis Engineering Philosophy (55% weighted toward deep cybersecurity engineering).
API Wrapper vs. Genuine IP
Distinguishes thin third-party API wrappers from defensible proprietary algorithms, protocols, and custom engineering.
Stack Modernity & Cryptographic Edge
Evaluates 2026-grade language safety, runtime efficiency, post-quantum primitives (ML-KEM-1024), and modern toolchain maturity.
PoC Demo vs. Production Grade
Inspects error handling, edge cases, migrations, state machines, and automated test coverage to separate demos from production code.
Structural Integrity + Integrated Security (v0.3)
Evaluates security posture as an inseparable foundation of production architecture alongside modularity, fault isolation, and scalability.
Pitch Deck & Website Claims vs. Code Reality
Cross-examines public marketing claims ('AI-powered', 'E2EE', 'Zero-Knowledge') against actual repository implementation to expose AI-washing.
Strong investment candidate
Viable with conditions
Significant concerns
High risk
Do not invest (or Critical Deal-Breaker)
Generates 7 consulting frameworks across 6 global regions, plus an 8th chart: a ~30-item × 5–10 competitor Implementation Capability Matrix dynamically tailored to the target's industry with 3–5 line competitor selection rationales.
Vision × Execution
Market Growth × Relative Share
Competitive Position × Technical Moat Depth
Security Implementation × Privacy Readiness
Data Protection × Audit Transparency
Downside Risk × Upside Potential
R&D Velocity × ARR Traction (3D Bubble)
Uses the 4-state Japanese tech rating standard (○ / △ / × / ?) with primary source URLs and verification dates on every cell.
Publicly documented & verified in code, whitepapers, or specs
Asserted in marketing, but not independently verifiable
Explicitly absent in documentation or architecture
Cannot be determined from public evidence (preferred over guessing)
| Category / Capability | Target | Comp. A | Comp. B | Comp. C | Provenance (sources + last_verified) |
|---|---|---|---|---|---|
Core Cryptography Hybrid Post-Quantum Key Agreement (PQXDH / ML-KEM-1024) | ○ | ○ | × | △ | [2026-10-22] Verified FIPS 203 ML-KEM-1024 + X25519 FFI implementation |
Metadata Privacy Sealed Sender / Zero-Knowledge Routing | ○ | ○ | × | × | [2026-10-22] Verified sender certificate encapsulation across relays |
Data Governance Cryptographic Message Retirement (Tombstone Zeroize) | ○ | △ | × | ? | [2026-10-22] Verified Ed25519-signed Tombstone & cache zeroization |
Audit Transparency Public Source Code & Automated Security CI | ○ | ○ | × | × | [2026-10-22] Verified public GitHub repository & CodeQL/osv-scanner CI |
* In live PDF reports, the ~30 capability items and 5–10 top competitors are dynamically selected for the target's industry (Messaging, Fintech, Medical, Gaming, SaaS, IoT), with all cited URLs listed in the Source Appendix.
Typeset in black and Atlas Blue (#5271FF), combining executive synthesis, code-level evidence, global market charts, and a cryptographic purge certificate (~22–24 pages depending on findings).
5-dim horizontal bars, 5-dim radar chart, Data Provenance Box (search date, query & source counts, or training-cutoff warning), and business + technical synthesis.
Evidence-backed SWOT grid, per-dimension enablers, 1/3/5-year projections with confidence, immediate/medium/long-term roadmap, and investment thesis.
Genuine code defects only (file:line + fix plan) and the 10-item technical audit (4 claim-vs-code + 6 code-measured).
Regional positioning charts, 3–5 line rationale per competitor (HQ, market position, why chosen), and the ○△×? capability matrix.
Performance / Stability / Lightweight / Security Strength bars plus a plain-language executive glossary (MFA, SOC2, libsignal, PQXDH).
Engineering rebuild time/cost estimation, complete URL Source Appendix (added in v0.6.0), and cryptographic workspace purge certificate.
Penilaian teknikal yang boleh diulang dan mengutamakan bukti — rubrik yang sama merentas setiap perjanjian.
Menyemak silang pitch terhadap pangkalan kod sebenar untuk mengesahkan apa yang benar-benar dibina berbanding apa yang sekadar didakwa.
Menanda di mana "AI" hanyalah pembalut nipis, heuristik berkod tetap, atau langsung tiada — membezakan ML tulen daripada pemasaran.
Menghasilkan skor 0–100 dan gred huruf merentas dimensi yang berwajaran sama, dengan penaakulan dipaparkan.
Memetakan struktur, kebergantungan dan pilihan reka bentuk untuk menilai kebolehselenggaraan, kebolehskalaan dan hutang teknikal.
Menyelidik pesaing sebenar, pembiayaan dan nasihat keselamatan di web serta membina perbandingan pasaran bersumber.
Berjalan sepenuhnya dalam kotak pasir AI IDE anda. Tanpa pelayan pihak ketiga, tanpa telemetri — diaudit dengan CodeQL, Dependabot dan pip-audit.
DDE itself operates zero third-party servers and zero telemetry. Choose the exact execution boundary that matches your security policy.
$ dde prompt --pdfDDE locally generates a structured prompt. Code reading and PDF generation happen inside your existing IDE AI agent session (Claude Code, Codex, Gemini CLI, Antigravity, Copilot, Cursor).
DDE makes zero outbound calls. Your AI agent runs STEP 0 live web searches for public competitor & CVE data.
$ dde analyze . --skip-aiSource code is analyzed 100% locally in memory/temp workspace and never sent to any AI model or external service.
In v0.6.3 (780e3cd / aac4c77), --skip-ai strictly disables API key auto-loading and blocks all outbound network requests.
$ dde analyze owner/repoUses your own API keys to cross-verify across up to 3 providers via the unified SSOT registry (BYOK_DEFAULT_MODELS / PROVIDER_MODEL_COSTS): Anthropic (Claude Haiku 5.5 → Sonnet 5.5 → Fable 5.1), Google (Gemini 4 Argon), and OpenAI (Astra gpt-6.1-sol / GPT-5).
Configured for zero-retention API endpoints (store=False, with fail-closed enforcement on GoogleProvider). Strips user:token@ credentials from GitHub URLs and immediately dereferences PATs after single in-memory use.
Eradicated all 36 audit defects across 35+ modules with GPT-6-Astra (xhigh) & Gemini 4 Argon, unified the SSOT model/cost registry, and locked permanent verification with 156 automated tests (tests/test_audit_regressions.py + tests/test_zero_drift_invariants.py).
Blocks Zip Slip traversal, symlinks, and FIFO special files during archive ingestion, and strips user:token@ credentials from GitHub URLs. Preserves .git during analysis for commit forensics, then performs in-place "r+b" 3-pass zero-fill shredding with strict os.walk(onerror=...) failure propagation and Windows NTFS user-only ACL locking.
Site verification (site_analyzer.py) enforces ip.is_global to block RFC 6598 CGNAT (100.64.0.0/10), private, loopback, and cloud metadata IPs as well as unsafe redirects, using reentrant DNS pinning (_pinned_dns_context) to prevent time-of-check to time-of-use (TOCTOU) DNS rebinding attacks.
Applies _esc_text across all dynamic PDF fields (ImplementationMatrix, sources, RedFlags) to prevent ReportLab XML parser crashes. Protects Latin digits and ASCII punctuation with Helvetica in Arabic (ar) and Thai (th) to prevent missing-glyph tofu boxes (□) across 24-page PDFs, enforces Jinja2 autoescape=True, and guarantees idempotent Score.compute().
Unifies __version__, BYOK_DEFAULT_MODELS, and PROVIDER_MODEL_COSTS (Astra gpt-6.1-sol $2/$10, gpt-6-astra $5/$25, gpt-5 $1.25/$10, Haiku >100k tiered rate) in config.py SSOT. Enforces fail-closed store=False on GoogleProvider, supports async def AST analysis, and locks 156 CI tests via test_zero_drift_invariants.py.
DDE menjana gesaan berstruktur yang boleh dilaksanakan oleh mana-mana ejen AI yang membaca fail dan menjalankan shell. Tiada pemalam atau log masuk khusus DDE diperlukan.
Pasang daripada repositori awam dengan satu arahan pip. Python setempat tulen — tanpa akaun, tanpa konfigurasi.
Daripada projek sasaran, jalankan arahan DDE dalam terminal IDE AI anda. Langganan AI sedia ada anda yang melakukan analisis — tanpa kos tambahan.
Ejen membaca beratus-ratus fail, menilai merentas dimensi berwajaran, dan menyelidik pesaing, pembiayaan serta nasihat keselamatan secara langsung di web.
PDF bergaya perundingan tiba di folder Muat Turun anda — skor 0–100, gred huruf, lanskap persaingan, dan rasional bersumber.
New in v0.6.3: paste Method A directly into your AI agent chat for fully automated install + audit + PDF generation, or run Method B in your terminal. Bundled Noto fonts render 14 PDF languages out of the box.
* PDF generation supports 14 languages (en/ja/es/fr/de/pt/nl/it/id/zh/ko/vi/th/ar); command defaults to English (--pdf).
Install https://github.com/Atlas-Associates-Inc/Due-diligence-engine (python3 -m pip install -U --no-cache-dir git+https://github.com/Atlas-Associates-Inc/Due-diligence-engine.git), run dde prompt --pdf on this project, and execute the entire generated prompt (STEP 0 live web research, full code audit, JSON generation, and PDF rendering) end-to-end to save the consulting PDF report to ~/Downloads/.python3 -m pip install -U --no-cache-dir git+https://github.com/Atlas-Associates-Inc/Due-diligence-engine.git && dde prompt --pdfdde doctordde prompt --pdf --url https://example.comWorks out of the box in any AI agent capable of reading files and running shell commands.
Boutique consulting depth with local-first privacy at zero added software cost.
| Dimension | DDE (v0.6.3) | Manual DD Consulting | Generic AI Code Review | SaaS DD Platforms |
|---|---|---|---|---|
| Added Cost | $0 (uses your IDE AI) | $$$$ (consultant fees) | Per-token API fees | $$$$ (enterprise subscription) |
| Code Privacy | Local / IDE sandbox (0 DDE servers) | Manual NDA & repo sharing | Uploads code to vendor | Stores code in vendor cloud |
| Deliverable | 24-page consulting PDF (14 langs) | Bespoke report | Inline PR comments | Web dashboard |
| Data Freshness | Live web search (2026) + URLs | Depends on analyst | Training cutoff only (stale) | Vendor refresh cycle |
| Crypto & Security Depth | PQXDH / ML-KEM-1024 / FFI audit | Depends on consultant | Surface checklist | Surface checklist |
| Competitive Benchmarks | 7 charts × 6 markets + 30-item matrix | Manual research (weeks) | None | Limited |
| Red Flag Precision | Code-verified only (file:line + fix) | High (slow) | High false-positive noise | Heuristic rule noise |
| Setup & Turnaround | 1 command / ~10–20 min | 2–4 weeks | Minutes (partial) | Days (onboarding) |
Sama ada anda membuat keputusan pelaburan, menilai kejuruteraan anda sendiri secara objektif, atau menanda aras pesaing — bukti daripada kod, dengan pantas.
VC, dana pertumbuhan, dan pasukan M&A: tapis risiko teknikal dan kebenaran di sebalik dakwaan merentas keseluruhan saluran paip anda sebelum penelitian mendalam.
Jalankan DDE pada pangkalan kod anda sendiri untuk melihat kekuatan, kelemahan, dan hutang teknikal melalui kaca mata pihak ketiga — untuk mengutamakan pembaikan atau bersedia untuk pusingan pembiayaan.
Tanda aras tindanan teknologi dan kedalaman pelaksanaan pesaing daripada repositori awam dan data pasaran, lalu fahami kedudukan anda sendiri dengan bukti.
Ya. DDE ialah sumber terbuka di bawah lesen Apache 2.0. Ia menggunakan langganan AI yang sedia ada pada anda dalam IDE, jadi tiada kunci API dan tiada kos tambahan.
Tidak. DDE ialah Python setempat 100% dan berjalan dalam kotak pasir AI IDE anda. Tiada pelayan DDE dan tiada telemetri. Penyelidikan web hanya mengambil maklumat awam tentang pesaing dan pasaran.
Mana-mana ejen yang boleh membaca fail dan menjalankan arahan shell. Ia disahkan dengan Claude Code, OpenAI Codex CLI, Google Gemini CLI, Antigravity dan GitHub Copilot Agent Mode (menyokong model terkini seperti Claude Opus 5.5 / Sonnet 5.5, Gemini 4 Argon dan GPT-5), serta berfungsi dengan Cursor, Gemini Code Assist, Aider, Windsurf dan terminal agentik yang serupa.
PDF bertaraf perundingan (sekitar 24 muka surat) disimpan ke folder Muat Turun anda, dengan skor keseluruhan 0–100, gred huruf, lanskap persaingan, matriks pelaksanaan, dan rasional bersumber.
AI-washing ialah memasarkan produk sebagai dikuasakan AI sedangkan teknologi asasnya minimum atau langsung tiada. DDE membandingkan dakwaan dalam pitch terhadap pelaksanaan sebenar dalam pangkalan kod dan menanda jurang tersebut.
Pasang sekali, jalankan daripada mana-mana IDE AI, dan baca buktinya sendiri. Percuma dan sumber terbuka.