The Claude-native platform for autonomous engineering.
Haiku for triage, Sonnet for code, Opus for reasoning — the right model for each task.
How It Works
From task to deployed code in 3 steps.
Describe Your Task
Tell the agent what you need in plain language via Slack, Teams, or CLI. "Fix the timeout bug in order-service" or "Add a health check endpoint."
Agents Execute the Lifecycle
The Supervisor routes your task to the right agents. They diagnose, write code, open a PR, run tests, and prepare for deployment — all autonomously.
Approve at the Gate
You review the PR, click Approve, and watch the agent deploy and validate. If anything fails, automatic rollback kicks in. You stay in control.
Verified Deliverables
See what your new workforce produces.
Auto-generated by Code Agent. Merged after human approval.
Diagnosed by Support Agent (Opus). Fix delegated to Code Agent.
Deployed by DevOps Agent. Health validated automatically.
The Agent Team
5 specialized agents powered by Claude — each routed to Haiku, Sonnet, or Opus for the right cost-latency tradeoff.
Supervisor Agent
Intelligent Task Orchestration
Receives tasks from Slack, Teams, or CLI. Classifies intent, routes to the right specialist, aggregates results, and coordinates rollback on failure.
- Intent Classification & Routing
- Multi-Agent Coordination
- Severity-Based Notifications
Support Agent
Read-Only Diagnostics
Investigates incidents across logs, traces, metrics, and commit history. Identifies root cause using deep reasoning and delegates the fix — never modifies production.
- CloudWatch & X-Ray Correlation
- Root Cause Analysis (Opus)
- Episodic Memory — Learns from Past Incidents
Code Agent
Full PR Lifecycle
Branches, reads your codebase, generates or modifies code, lints, commits, opens a PR, responds to reviews, and merges — only after a human clicks Approve.
- Atomic Multi-File Commits
- Human-in-the-Loop PR Approval
- SKILL.md Coding Standards Discovery
DevOps Agent
Deploy, Validate, Rollback
Runs Terraform, triggers CI/CD pipelines, provisions infrastructure, validates health post-deploy, and auto-rolls back on failure.
- Terraform Plan & Apply (Dev)
- Post-Deploy Health Monitoring
- Automatic Rollback on Failure
Test Agent
Automated Quality Gate
Executes the full test pyramid — unit, integration, and e2e — in CI sandboxes. Reports coverage, flags regressions, and blocks deploys on failure.
- Unit → Integration → E2E Pipeline
- Coverage & Regression Detection
- Post-Deploy Smoke Tests
Watch Your Agents Think
Real-time visibility into every decision, every tool call, every reasoning step.
No black box. Full transparency.
Earn Trust Gradually
Agents prove themselves before touching anything. Three modes, you control the pace.
Shadow Mode
Agents observe your environment and show what they would do — without executing anything. You rate their proposals. They learn.
Propose Mode
Agents draft actions and wait for your approval on every step. You click Approve or Reject. Nothing happens without your sign-off.
Active Mode
Agents execute autonomously, pausing only at critical gates (PR merge, production deploy). Full speed, full audit trail, human override always available.
Works With Your Stack
One config file per client. Zero hardcoded assumptions.
Git
Cloud
CI/CD
Deploy
Plus: Slack, Teams, PagerDuty, Jira, Linear, PostgreSQL, BigQuery, Snowflake, and more.
Is CodeTractor right for your team?
Honest filters — we'd rather say no upfront than disappoint you later.
Built for teams that
- Running on AWS, GCP, or Azure
- Using GitHub, GitLab, Bitbucket, or Azure DevOps
- Have CI/CD pipelines (Actions, GitLab CI, Jenkins, ArgoCD)
- Want autonomous execution with human approval gates
- Open to adopting Claude as your exclusive agent platform
- Any team size — startup to enterprise, we scale to fit
✗ Not a fit for teams that
- ✗Fully air-gapped deployment with no external connectivity
- ✗No CI/CD or test infrastructure yet
- ✗Want fully autonomous production deployment with zero human approval
- ✗Require multi-LLM orchestration (we're Claude-exclusive by design)
Specialized Agent Solutions
Purpose-built Claude agents for specific engineering, data, and operations challenges — available as standalone builds or add-ons to the Platform.
Autonomous SRE & Incident Triage
An agent that reads logs, traces, and past incidents to propose root cause and remediation. Escalates only alerts that genuinely need a human.
Enterprise Knowledge RAG
A retrieval-augmented agent over internal docs, contracts, and policies. Multi-hop reasoning, cited sources, graceful handling of ambiguity.
Compliance & Audit Automation
Continuously scans infrastructure-as-code and configuration for drift against SOC 2, HIPAA, or your internal policy frameworks. Opens remediation PRs with rationale and rollback plan.
Built for your industry
Claude agents adapt to industry-specific patterns and compliance via runtime SKILL.md configuration.
Banking & FinTech
SOC 2, PCI-DSS, transaction integrity, audit trails, customer support deflection.
Healthcare
HIPAA BAA, PHI handling, FDA software requirements, clinical ops, prior-auth automation.
Enterprise SaaS
Multi-tenant patterns, customer data isolation, autonomous SRE, incident response.
Retail & E-commerce
Catalog intelligence, demand-signal analysis, order-flow support agents.
Plus manufacturing, logistics, legal, government, education — anywhere Claude agents can automate a repeatable workflow. The platform is generic by design: Claude agents adapt to any tech stack via runtime skill discovery. Don't see your industry? That's usually where the biggest wins are.
Not ready for the full platform? Start with a focused Claude service.
Focused Claude engagements for teams onboarding to Claude, building custom Claude agents, or optimizing what they already have. Every service is 100% Claude-focused — we don't do generic AI consulting.
Claude Jumpstart
Onboard your team to Claude in one week.
Custom Claude Managed Agents
Bespoke Claude agents for your workflows — not just engineering.
Claude MCP Server Development
Connect Claude to your internal systems.
Claude Cost Audit
Identify and eliminate wasted Claude spend.
We only build on Claude.
Depth over breadth. We build exclusively on Anthropic's Claude — routing across Haiku, Sonnet, and Opus inside every agent to match the right model to each task. Here's why we chose Claude, and how the three models fit together.
Claude Haiku 4.5
Triage & Classification
Classifies incoming tasks from Slack, Teams, or CLI. Routes to the right specialist agent in under half a second.
- Intent detection
- Ticket triage
- Log parsing
- Structured extraction
Claude Sonnet 4.6
Code & Execution
Writes production code, opens PRs, runs tests, and drives deployments. The workhorse behind most agent actions.
- Code generation
- Refactoring
- Test authoring
- Tool use
Claude Opus 4.7
Reasoning & Root Cause
Deep reasoning for incident diagnosis, architecture decisions, and multi-step debugging. The model we reach for when stakes are highest.
- Root cause analysis
- Architecture review
- Incident diagnosis
- Migration planning
Haiku classifies → Sonnet executes → Opus reasons when stuck
What CodeTractor adds on top of Claude
Claude is the engine. CodeTractor is the orchestration, memory, and guardrails — everything you'd otherwise build yourself to turn Claude into a working engineering team.
| Feature | If you built this yourself | CodeTractor |
|---|---|---|
| Model routing | Pick one model per task manually | Auto-routes Haiku → Sonnet → Opus for cost-latency balance |
| Multi-agent orchestration | You build it | 5 pre-built specialists plus a Supervisor that coordinates them |
| Human-in-the-loop gates | You build it | PR approval, deploy gates, Slack/Teams approvals built in |
| Episodic memory | Stateless sessions | Agents learn from past incidents across sessions |
| SKILL.md capability discovery | N/A | Drop-in runbooks, no redeployment |
| Auto-rollback on failure | N/A | DevOps Agent reverts and alerts automatically |
| Cost optimization | Manual tuning | Routing + caching patterns tuned for long-running agents |
| Deployment target | Your choice — Anthropic, Bedrock, or Vertex | Your VPC, Bedrock, or Claude Managed Agents |
Founding Client Program
We're inviting the first 5 teams to deploy autonomous SDLC agents at a founding rate — in exchange for honest feedback and a co-created case study.
What you get
- Significant discount on platform deployment
- Direct founder-level access during setup
- Priority feature requests shaped around your stack
- Co-created case study showcasing your outcomes
What we get
- Your honest feedback as we iterate
- A published success story (with your approval)
- Permission to reference your logo on the site
Only 5 spots. Applications reviewed as they come in.
Frequently Asked Questions
What Claude models power the platform?
Exclusively Anthropic's Claude family. Haiku 4.5 for fast classification, Sonnet 4.6 for code generation and deployments, Opus 4.7 with extended thinking for deep reasoning and root cause analysis. We intelligently route each task to the right Claude model — no other LLMs in the stack.
Why only Claude? What if we want OpenAI or Gemini?
We're Claude-exclusive by design. Every model has different strengths, failure modes, prompt conventions, and cost profiles. Supporting all of them means optimizing for none. We chose Claude because it leads on SWE-bench (the autonomous-coding benchmark), has the largest usable context (1M tokens on Opus), native MCP support, and the best agent-specific features — Computer Use, extended thinking, Managed Agents. If you're considering multi-LLM orchestration, let's still talk — book a free assessment and we can walk through your specific needs, compare tradeoffs honestly, and figure out whether Claude-exclusive is the right path for your team.
Are you an Anthropic partner or employee?
Independent company, building exclusively on Claude. We've applied to the Anthropic Partner Network and are working toward official partner status. Our exclusive focus is a deliberate business decision — depth in one ecosystem beats breadth across many.
Aren't you creating single-vendor risk by only using Claude?
Honest answer: yes, there's single-vendor dependency. We mitigate it architecturally — our agent orchestration is abstracted from model calls, so we could add other models if ever needed. But we don't market multi-LLM support because hedging dilutes expertise. Anthropic provides advance notice for breaking changes and pricing stability for committed customers. We make this tradeoff transparently because focused expertise delivers better results than defensive hedging.
Can this run in our own infrastructure?
Today we deploy exclusively on Claude Managed Agents (Anthropic-hosted). Your data and systems stay in your cloud — our custom MCP servers let the agents reach into your AWS, GCP, or Azure to read and act, without moving your data outside your boundary. Every client gets an isolated agent instance. Fully air-gapped or self-hosted-in-your-VPC deployments are not supported today; we plan to offer them as we expand into partnership-tier enterprise engagements.
How does human-in-the-loop work?
Code Agent opens a PR and pauses. A human engineer reviews via Slack or Teams and clicks Approve. Only then does the agent merge and trigger deployment. You stay in control at the gates that matter.
What happens if a deployment fails?
DevOps Agent automatically reverts the last commit, redeploys the previous known-good version, opens a GitHub issue documenting what went wrong, and sends a critical alert to your team. No manual intervention needed.
How do agents learn new capabilities?
CodeTractor includes a dynamic capability-discovery layer. When you need agents to know a new coding standard, runbook, policy, or workflow, we add it to your agents' capability library — and they discover and apply it at runtime. No model retraining, no code changes, no redeployment.
Do you train on our code?
No. Every client gets isolated agent instances. Your code, logs, and data stay within your boundary and are never used to train shared models or visible to other clients.
Do you only build coding agents?
No. Code generation is one of many workflows. Our agents also handle incident diagnosis, test execution, deployments, infrastructure operations, and custom knowledge workflows (document intelligence, RAG over internal data, compliance automation). Our Custom Claude Managed Agents service builds bespoke agents for workflows outside the core 5 — sales ops, finance close, customer support, legal review, data extraction. If it's repeatable, Claude can agentify it — start with a free assessment.
What industries do you serve?
Any industry with engineering teams or operational workflows that benefit from Claude-powered automation. Banking, healthcare, fintech, SaaS, e-commerce, manufacturing — Claude agents adapt to any tech stack: AWS, GCP, Azure, GitHub, GitLab, Terraform, Jenkins, and more.
Ready to meet your autonomous engineering team?
Start with a free assessment. We'll scan your environment and show you what the agents can do in the first 10 minutes.