Built for serious engineering
Auto-fix, PR review, security scanning, test generation, DORA metrics, and a self-improving engine. Everything your engineering team needs.
8+ Specialized AI Agents
Each agent is an expert at its job. Together, they form a complete autonomous development team.
PlannerAgentClaude Haiku
Analyzes tickets and repository structure to produce implementation plans with exact file targets.
CoderAgentClaude Sonnet
Generates production-ready code in intelligent batches with self-healing loops for test failures.
ReviewerAgentClaude Sonnet
Pre-merge code review detects logic errors, security flaws, breaking changes, and N+1 queries.
SecurityAgentClaude Sonnet
Scans for OWASP-class vulnerabilities: injection, hardcoded secrets, XSS, and more.
RootCauseAgentClaude Sonnet
Deep analysis of tickets to determine the actual underlying problem, not just symptoms.
ImpactSimulationClaude Sonnet
Models expected behavioral changes before code is written. Prevents unintended side effects.
TestGenAgentClaude Sonnet
Automatically creates test cases for generated code to ensure correctness and coverage.
RegressionAgentClaude Sonnet
Identifies risk of breaking existing functionality and flags areas needing attention.
Smart Context Selection
The right files, every time. Hybrid ranking ensures the AI sees exactly what it needs.
Dependency Graph Analysis
Analyzes imports, function calls, and code dependencies to understand impact scope. 40% weight in file ranking.
Semantic Search
All-MiniLM-L6-v2 embeddings with cosine similarity scoring find conceptually related files. 40% weight.
Code Similarity
Pattern matching identifies structurally similar code that should be modified consistently. 20% weight.
Repo Intelligence Layer
TF-vector based knowledge base per repository. Custom rules (naming, architecture, forbidden patterns) validated automatically.
Multi-Layer Safety Net
Every line of generated code passes through multiple validation stages before it reaches your repository.
ExecutionGuard
Blocks suspicious changes: path security, diff line limits (max 1500), file count limits, syntax validation.
Plan Quality Guard
Validates PlannerAgent output before code generation begins. Catches architectural issues early.
Post-Generation Validator
16 checks on generated code: behavior mismatch, overfit fixes, regression risk, runtime risk, and more.
Decision Engine
auto_apply / needs_review / block decisions with confidence scoring. Humans approve when risk is detected.
Commit Policy Controls
Configure mode (manual/auto/conditional), max files, allowed risk levels, blocked paths, and minimum confidence.
AES-256-GCM Encryption
Repository credentials encrypted at rest with AES-256-GCM. All external URLs validated against allowlist.
Gets Smarter Over Time
The only AI coding platform that learns from your team's feedback and continuously improves.
Pattern Learning
Identifies successful code patterns from accepted fixes. 7 pattern types detected automatically.
Weight Calibration
Per-signal rejection rates calibrated from real outcomes. Damped lift formula prevents overcorrection.
Failure Memory
Blocks patterns with 70%+ rejection rate after 3+ attempts. Injected as DO NOT USE instructions.
Contextual Weights
3-tier system: repo-specific (20+ samples), problem-type (10+), and global. Most specific tier wins.
Strategy Boosting
Successful strategies get +0.10 confidence boost. Failing strategies get -0.05 penalty. Per problem type.
Reasoning Patterns
Extracts structural reasoning from approved fixes. Jaccard similarity matching for similar future problems.
Full Transparency Dashboard
See everything: reasoning traces, cost breakdowns, worker health, and activity streams in real-time.
Reasoning Traces
7-layer expandable timeline: Root Cause, Graph Path, Impact Simulation, Solution Strategy, Approach Selection, Pattern Recognition, Exploration Compliance.
Cost Analytics
Daily cost charts, per-repo breakdown, agent-level costs, token efficiency metrics. Know exactly where every dollar goes.
Worker Health Dashboard
Real-time worker status, jobs running, heartbeat monitoring, stuck job detection, and cluster health.
Activity Stream
Live event log with 3-second polling. Color-coded by type, filterable by ticket, with pause/resume.
AI Code Review for Every PR
Automatically review any pull request across GitHub, GitLab, Bitbucket, and Azure DevOps.
Inline Code Comments
Posts specific suggestions directly on PR diffs with line-level precision.
Security Vulnerability Detection
Catches injection flaws, XSS, hardcoded secrets, and OWASP vulnerabilities in every diff.
Best Practice Enforcement
Language-aware checks for imports, naming conventions, patterns, and anti-patterns.
Auto-Fix Suggestions
One-click fix patches with confidence levels. Apply fixes directly from the review.
Review Severity Scoring
Every PR gets a decision: SAFE, REVIEW, or BLOCK — with detailed reasoning.
PR Summary Generation
Auto-generates PR descriptions from diffs with change context and impact analysis.
Complete Security Scanning
SAST, secret detection, IaC scanning, dependency analysis, and license compliance in one platform.
SAST Scanner
Static Application Security Testing with CWE tracking. Optional Semgrep integration for custom rules.
Secret Detection
Entropy-based + pattern matching finds API keys, tokens, passwords, private keys, and connection strings.
Infrastructure-as-Code Scanning
Validates Dockerfiles, docker-compose, Terraform, Kubernetes manifests, and GitHub Actions.
Dependency Vulnerability Scanning
Detects known vulnerabilities in your project dependencies with severity ratings.
License Compliance
Validates dependency licenses against your organization's compliance policy.
Engineering Intelligence
DORA metrics, codebase Q&A, browser reproduction, and cost tracking to optimize your workflow.
DORA Metrics
Track deployment frequency, lead time for changes, change failure rate, and mean time to recovery.
Codebase Q&A
Ask questions about your codebase in natural language. Get answers with file references and sources.
Browser Bug Reproduction
Headless Playwright automatically reproduces UI bugs, captures screenshots, console errors, and network failures.
AI Test Generation
Automatically generates test cases for uncovered code paths. Targets edge cases the original code missed.
Cost Analytics
Per-ticket cost breakdown, agent-level analytics, token usage tracking. Know where every dollar goes.
Execution Replay
Re-run any past job with full prompt inspection. Debug and optimize AI behavior.
See it in action
Schedule a personalized demo and see how EnsureFix handles your real tickets, in your real repos.