Intelligence for
safer software.
Octate combines repository-aware analysis, deterministic checks, and evidence-backed AI reasoning to help engineering teams understand software changes with genuine confidence.
A diff is not a codebase.
Most AI code review systems inspect only the isolated lines changed in a pull request. But real vulnerabilities, contract violations, and state regressions rarely exist in the diff alone—they explode outward into uncalled callers, corrupted invariants, and implicit dependencies.
Hidden AI-Generated Risk
LLMs write convincing syntactical code that subtly violates domain security policies, session lifecycles, and multi-tenant isolation boundaries.
> Syntactic elegance ≠ Semantic safety Static Analysis Noise
Traditional linters and heuristic scanners flood developers with hundreds of low-priority warnings, burying high-consequence defects under alert fatigue.
> 80%+ irrelevant noise ignored Unverified AI Guesses
Generic review bots hallucinate nonexistent APIs or comment on styling trivia. Developers need cryptographic proof and concrete code trajectories.
> Proof required, not prose Defect vs. Safe Code
Review systems must deterministically distinguish intentional pattern shifts from critical authentication bypasses and race conditions.
> Deterministic risk gating From raw lines changed to surrounding architectural invariants
git diff → AST Graph Resolution → Evidence Envelope Shallow AI models stop here, guessing intent without caller context.
Discovers that downstream worker pools assume revoked tokens throw exceptions.
Proves silent fallback in middleware.ts:72 allows unauthenticated request flow.
SARIF 2.1.0 output ready for developer terminal or CI gate.
The Octate Review Pipeline.
A deterministic multi-stage sequence engineered to eliminate hallucinations, suppress frivolous noise, and isolate verifiable security defects.
Repository
Git diff scope, uncommitted staged buffers, or commit range indexing.
Tree-sitter WASM Analysis
Symbol table resolution, caller-callee propagation, AST tokenization.
In-Memory Graph Context
Builds the minimal sufficient evidence envelope without dumping whole repos.
Relevance Bound AI Review
Specialized reviewers evaluate structural, semantic, and security paths in parallel.
3x Fan-out DAG The Critic
Adversarially falsifies drafted assertions; drops unprovable findings.
Falsification Check Risk Gate
Deterministic thresholding separates blocking defects from notes.
CI Exit Status Actionable Proof
Direct line numbers, call stack evidence, and remediation patch paths.
SARIF 2.1.0 JSON Understands the codebase first. Reasons second.
The model provider is replaceable. Repository intelligence, context windowing, and adversarial critique are the product.
Architected for high-signal security.
Octate replaces probabilistic guesses with deterministic repo-aware evidence. Every capability is designed to integrate cleanly into modern engineering workflows.
AI-Assisted Code Review
Designed to understand subtle business logic regressions, silent state mutations, and concurrency vulnerabilities that escape typical linters.
Context-Aware Analysis
Traverses the full import hierarchy, abstract syntax trees, and interface contracts to evaluate changes within true runtime relationships.
Evidence-Backed Findings
Every critical alert comes attached with exact source code references, call site proofs, and logical falsification arguments.
False-Positive Reduction
An internal Adversarial Critic actively attempts to refute drafted issues before they ever notify developers, suppressing spurious noise.
Risk-Based Decision Gates
Categorizes issues by deterministic impact, enabling clean non-zero CI exit codes strictly when high-confidence security invariants break.
GitHub & PR Integration
Seamlessly surfaces review summaries, inline diff annotations, and SARIF upload pipelines directly within native GitHub pull requests.
Auditability & Traceability
Export structured JSON logs capturing every reviewer thesis, symbol lookup trajectory, and verification step for internal compliance audits.
Review Status Transparency
Provides complete clarity into completed, advisory, rejected, and incomplete evaluations with zero opaque black-box verdicts.
AI proposes. Evidence verifies.
Octate decides.
We never accept an AI review assertion that cannot demonstrate its exact code trajectory. Every finding must survive rigorous adversarial falsification.
Model Candidates
Specialized AI models draft potential risks across structural, semantic, and security domains.
Unverified Drafts Independent Evidence
AST symbol links, imported schemas, and caller chains are assembled as verifiable proof bounds.
Deterministic AST The Critic Review
An adversarial agent attempts to disprove the issue using existing repository invariants and tests.
Hallucination Dropped Deterministic Validation
Verifies whether proposed code trajectories can actually be triggered in production execution.
Reachability Test Risk Classification
Final verified finding emitted with jump-to-definition evidence and confidence metrics.
SARIF / CI Pass or Block Pull Request Intelligence Interface
Unbounded Token Invalidation Race
src/auth/session.ts:184 (Impacts 14 downstream API gateway routes)
The updated rotateKey() handler marks the previous token status as REVOKED asynchronously without a transactional lock, leaving an unmitigated 140ms window where revoked tokens are accepted by worker cache.
Replay attacks against payment authorization can reuse compromised bearer tokens during token rotation bursts, breaking the zero-trust invariants mandated by PCI-DSS requirement 6.5.10.
Your code stays yours. Full boundary control.
Octate operates as a local-first analysis tool. We do not clone your entire repository into remote cloud databases or train foundation models on private intellectual property.
On-Machine Static Extraction
All index building, Tree-sitter AST syntax parsing, graph construction, symbol matching, and source parsing happen strictly on the executing CPU container. Your source code files never leave your environment during local phases.
- Local Git working tree & buffer parsing
- Tree-sitter AST symbol trees stay in local memory
- Zero remote indexing of uncommitted files
Zero-Retention Context Engine
When deep reasoning is requested, only the minimal extracted context envelope is transmitted to selected inference endpoints. We support Bring Your Own API Key (BYOK) and strictly enforce zero-retention data agreements.
- BYOK support: NVIDIA Nemotron, OpenAI, or local vLLM
- Strict zero-retention training policy guarantees
- Ephemeral, sanitized context windows only
A measured path to safer software
We build incrementally from grounded facts. Each layer expands intelligence and reach only after the foundational verification layer proves reliable in production codebases.
Terminal-Native Review
octate review Deterministic repository discovery, Tree-sitter WASM parsing, Context Engine, Nemotron DAG, two-stage critic, interactive TUI, SARIF v2.1.0 and JSON outputs.
Repository Intelligence
octate index • octate ask • octate explain Persistent repository knowledge graph. Conversational codebase understanding, impact analysis for anticipated refactors, and symbol dependency exploration.
Continuous Analysis
octate scan Background daemon watching filesystem changes. Real-time architectural rule enforcement and early detection of drift before commit time.
Controlled Remediation
octate fix <finding-id> Deterministic patch generation with local test validation. Human-in-the-loop review and approval before any change touches the working tree.
Governed Agentic Engineering
octate govern Safe, bounded agentic workflows with strict cryptographic policy boundaries, audit logging, and human sovereignty over automated execution.
Build with confidence.
Bring evidence-driven intelligence to every code review. Stop reviewing blind diffs and start validating software with cryptographic certainty.
npx octate review