Agentic-first engineering

AI agents that code, plan, visualize, deploy, govern, and iterate — from idea to production in a single workflow.

Code Editor15+ languages, full LSP
AI AgentsMulti-model orchestration
BrowserPreview & automate
DeployOne-click to production
PlanningTasks from meetings
DatabaseManaged PostgreSQL

Trusted by innovative teams worldwide

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Developers

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Languages Supported

0M+

AI Completions

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Uptime

Platform Features
01
AI Agents

Multi-agent orchestration
that sees your entire stack

A coordinator agent spawns specialized child agents with dependency chains, knowledge injection, custom skills, and human-in-the-loop decisions. Not just code completion — full workflow automation.

40+
built-in tools
parallel agents
BYOK
any LLM provider
WAVE 1WAVE 2CoordinatorExplorePlanCodeTestReviewDeploy
0 out of 6 tasks

Agents that orchestrate agents

A coordinator agent spawns specialized child agents with dependency chains. Wave-based execution ensures agents run in the right order, with full status tracking and inter-agent communication.

  • Coordinator → child agent spawning
  • Dependency chains between agents
  • Wave-based parallel execution
  • Inter-agent messaging (ASK / SEND)
  • Claude Code SDK integration
coordinatordependency chainswave executionASK / SENDSDK
And so much more
Claude Code SDK
Full Agent SDK bridge with streaming and MCP tools
Tool Approval
Approve, deny, or auto-allow tool calls with safety gates
Browser Automation
DOM manipulation and testing via embedded browser MCP
Multi-Model BYOK
Anthropic, OpenAI, or custom LLM endpoints per agent
Skills Pinning
Pin skills to always inject context by file patterns
Agent Graph View
Visualize orchestration state and agent dependencies
Meeting Intelligence
Record, transcribe, and extract action items from meetings
Slash Commands
Custom reusable prompt templates for common workflows
02
Code Editor

Where agents build,
review, ship & debug

Not a text editor with AI bolted on. Agents spawn terminals, propose inline diffs, trigger CI/CD pipelines, and debug K8s pods — all with approval gates and full context injection at every step.

3-tier
permission engine
1-click
commit to deploy
Live
K8s pod debugging

A team of agents writes your code

Coordinator spawns specialized agents in a pipeline — explorer, builder, tester — each with its own terminal. @mention symbols to give agents precise context. Browser state, K8s cluster, and terminal history auto-inject into every agent.

  • @mention functions, classes, dirs — not just files
  • Each agent gets a named terminal tab
  • Browser + K8s + terminal context auto-injected
  • Agents watch builds, react to failures, iterate
  • Three-tier permission engine at every mutation
@mentionsagent terminalscontext injectionbuild watchingpermission engine
What makes it different
Three-tier Permissions
File read, write, and execute — each mutation requires approval at the right level
Context Injection Pipeline
Browser state, K8s cluster, terminal history, and meeting notes auto-feed into every agent
@mention Symbols
Reference functions, classes, dirs — not just files. Agents get precise scope with line ranges
Named Agent Terminals
Each agent gets its own terminal tab — watch builds, tests, and deploys in parallel
Plan Integration
Agent tasks link to plan documents — every code change traces back to a goal
GitOps Deploy Pipeline
Build → test → staging → prod with approval gates, smoke tests, and auto-rollback
Agent Event System
Agents react to build failures, test results, and deploy status in real time
AI Command Bar
Describe what to run in natural language — the terminal agent translates and executes
03
Agentic Browser

An agent with eyes
on your running app

Other AI agents read your code. This one runs your app, sees every screen, and knows how your blog module actually works — because you taught it. Code + live app + agent, end to end.

End-to-end
code + live app
Zero scripts
describe → it tests
Site Knowledge
teach, don't crawl

Describe a feature. It tests every edge case.

Tell the agent what to test. It launches your app, navigates to the right page, tries every button, fills every form with valid and invalid data, simulates network failures, and reports pass/fail with screenshots at every step.

  • Zero test scripts — describe the feature in plain English
  • Auto-discovers every interactive element on the page
  • Tests edge cases: empty states, max values, expired inputs
  • Simulates network timeouts and error responses
  • Step-by-step pass/fail report with captured screenshots
zero scriptsauto-discoveryedge casesnetwork simulationscreenshots
Under the hood
Scenario Record & Replay
Record user flows as replayable scenarios with automatic pass/fail verification at each step
Screenshot Annotations
Capture viewport, full page, or single element — then annotate with rectangles, arrows, and text
Network Error Detection
Agent auto-detects failed API calls, timeouts, and 5xx responses — sends them as context for debugging
React-safe Interactions
Triggers real React synthetic events — not just DOM clicks. Handles controlled inputs and state updates correctly
Session Memory
Agent remembers actions tried, patterns discovered, and page states across its entire testing session
CDP-Enabled Browser
Built-in browser with full Chrome DevTools Protocol support — hot-reload preview and headless automation in one engine
Site Knowledge Import
Static analysis maps every route, form, and button state — agent knows your app internals, not just the DOM
Code + Live App
Agent sees your source code AND the running UI simultaneously — traces bugs from DOM back to the exact line
04
Kubernetes & Cloud

Your entire cluster.
One editor. One agent.

Other tools show you what's happening in your cluster. Cana understands it. Browse every resource, edit live manifests, and let the AI agent diagnose and fix issues — all without leaving the app.

40+
resource types
60+
AI diagnostic actions
1-click
deploy to prod

Every resource. One tree. Zero guesswork.

Browse 40+ Kubernetes resource types in a navigable tree — Pods, Deployments, Services, Secrets, RBAC, CRDs, and everything in between. Health status computed in real time, not just read from the API.

  • 40+ resource types organized by category
  • Computed health status with color-coded indicators
  • Namespace switching and cross-namespace views
  • Describe, YAML, and live log views per resource
  • Tab-based multi-resource inspection
40+ resourceshealth statusnamespace viewsYAML & logsmulti-tab inspect
And so much more
Live Log Streaming
Real-time log streaming with regex search, container selection, and auto-reconnect on disconnect
Exec & Port Forward
Shell into any container or port-forward services directly from the resource view
Drift Detection
Detect when live resources diverge from desired state — auto-heal or alert before incidents
RBAC Analysis
AI-powered permission audit — who can access what, and where the over-permissions live
Resource Dependency Graph
Visual tree from Application to Pods — trace ownership, see health at every level
Inline YAML Editor
Edit resource manifests directly with syntax highlighting, validation, and live apply
Custom Resources
Full CRD support — browse, inspect, and manage any custom resource your cluster runs
Group Analysis
Run AI diagnostics across all pods, all services, or all nodes at once — cluster-wide insights
05
Planning & Meetings

An architect in
every conversation

Record meetings, invoke the agent mid-conversation, and watch it analyze your discussion in real time — suggesting architecture changes, catching edge cases, and proposing features.

73%
edge cases caught early
Auto
tasks from meetings
Full
decision traceability

Record meetings. Get structured notes automatically.

Hit record and the agent captures everything — speaker attribution, topic segmentation, decisions made, and open questions. Not just a transcript. A structured document you can act on immediately.

  • Speaker identification with automatic attribution
  • Topic segmentation — groups discussion by subject
  • Decisions and action items extracted automatically
  • Open questions flagged for follow-up
  • Searchable across all past meetings
speaker IDtopic segmentsdecisionsaction itemssearchable
And so much more
Meeting Recording
Record audio, video, or screen share — AI generates structured notes with speaker attribution in real time
Transcript Search
Full-text search across every meeting transcript, with filters for speaker, date, project, and topic
Agent-in-the-Loop
Invoke the AI agent during live meetings to analyze, suggest, and challenge decisions as they happen
Decision Tracking
Every architectural decision is logged with rationale, alternatives considered, and linked code paths
Auto Task Creation
Agent extracts action items from conversation and creates tracked tasks with context and priority
Meeting Templates
Sprint planning, design review, retrospective — pre-built templates that guide the agent's analysis focus
ADR Generation
Automatically generates Architecture Decision Records from meeting discussions and links them to your repo
Cross-Meeting Context
Agent references decisions and discussions from past meetings to maintain consistency across sprints
06
Platform Services

Backend. Auth. APIs.
Included.

No third-party glue required. Database, identity, and serverless functions ship with Cana — managed, scaled, and AI-assisted. Your entire backend, inside your editor.

0 config
to production
Built-in
auth + database
<50ms
edge latency

Query, browse, and manage — without leaving the editor.

Built-in PostgreSQL with a visual table browser, live SQL editor, auto-sync between your schema and code, and real-time performance metrics. No external database tools needed.

  • Visual table browser with inline editing and filtering
  • Live SQL editor with syntax highlighting and autocomplete
  • Schema auto-sync — change your Prisma schema, DB updates instantly
  • Connection pooling and query performance metrics built in
  • One-click seed, migrate, and backup from the UI
table browserSQL editorschema syncconnection poolingone-click backup
And so much more
Auto Migrations
Schema changes auto-generate migration files. Review the diff, apply with one click, roll back if anything breaks.
Edge Functions
Deploy functions to the edge for sub-50ms responses globally. Automatic region selection based on your users.
Webhook Management
Receive, validate, and route webhooks with built-in retry logic, signature verification, and delivery logs.
Row-Level Security
Postgres RLS policies managed from the UI. Define who sees what — enforced at the database level, not the app.
API Key Management
Generate, rotate, and scope API keys with rate limits per key. Usage analytics and automatic expiry built in.
Scheduled Jobs
Cron-based serverless functions with visual scheduling, execution history, and failure notifications.
Real-time Subscriptions
WebSocket channels generated from your schema. Subscribe to table changes with row-level filtering.
Multi-Tenant Isolation
Database-level tenant isolation with automatic connection routing. Each tenant gets their own schema or database.
Testimonials

Loved by developers

See what developers are saying about building with cana.build.

cana.build replaced our entire toolchain. Our team ships 3x faster now that everything — code, deploys, planning — lives in one app.

SC
Sarah Chen
VP of Engineering, TechFlow

The AI agents are incredible. They understand our codebase, our deployment pipeline, and our project plans. It's like having a senior engineer on call 24/7.

MJ
Marcus Johnson
CTO, Nexus Labs

We went from 12 different developer tools to one. The Kubernetes dashboard alone saved us hours of context switching every week.

PP
Priya Patel
Staff Engineer, CloudScale

Meeting intelligence is a game-changer. Tasks get created automatically from our standups, and the AI picks up right where we left off.

JO
James O'Brien
Engineering Manager, BuildRight

Finally, an IDE that takes deployment seriously. Built-in secrets, GitOps, approval gates — it's the full picture, not just code.

EV
Elena Voronova
DevOps Lead, Horizon Systems

The browser MCP automation is wild. Our AI agent tests the UI, catches regressions, and files issues — all inside the same app we code in.

DK
David Kim
Senior Frontend Engineer, PixelPerfect

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