
DPLY is how modern teams write code together.
Built to Make Development
Flow
Ship production features at AI speed
Transform requirements into working code with an AI agent that writes, tests, and deploys faster than any team.
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Coding agent
In Progress 3
API Rate Limiter Implement…
Planning architecture
Stripe Webhook Integration
Writing tests
Ready for Review 3
Database Connection Pool
+89
-12
·
2m ago
+15
-8
·
18m ago
Redis Cache Layer Setup
+203
-0
·
45m ago
JWT Token Refresh Logic
Database Connection Pool
I'll create a robust connection pool with health monitoring and automatic recovery. Starting with the pool configuration that includes automatic retry logic, connection limits, and timeout settings:
Thought
8s
Searched
existing database configuration patterns
Read
postgres pool best practices for Node.js
src/db/pool.ts
+156
-34
Now adding health check middleware to monitor pool status and automatically handle connection failures:
src/middleware/health.ts
+24
-6
Finally, I'll create integration tests to verify retry behavior and connection limit enforcement:
Implement connection pooling for PostgreSQL with retry logic, health checks, and graceful degradation. Include monitoring hooks for connection metrics and proper timeout handling.
REPO-AWARE ACCURACY
TIME TO PR
Solve complex engineering tasks with AI — safely. Up and running fast with sandboxed execution and policy-driven reviews.
min
<
HOW IT WORKS
Lightning-quick deployment
ENTERPRISE
Why teams choose
DPLY
Support & SLAs
Priority incident response, and enterprise‑grade SLAs.
Deployment options
Multi‑tenant cloud, private cloud, or VPC.
Security-first design
SSO/SAML, SOC 2, SCIM, audit, encryption at rest
Grounded Understanding
Indexes repos, docs, tickets, and production signals with fine‑grained ACLs.
How it fits together
Plan → Propose changes → Run in Sandbox → Open PR → Review & merge.
Time to Merge
Without DPLY
With DPLY
40 hrs
3.5 hrs
Guardrails you can measure
Scenario tests, sandbox traces, and PR outcomes to track quality over time.
Thinking
Thinking
Run policy pack: PII-leak checks on this PR
Claude Sonnet 4.5
Context first
DPLY finds the right context automatically. Team's workspace gets smarter with every interaction.

Visualize our reinforcement learning and self-adaptive layer
99%
Production-ready Changes
Builds cleanly and compiles across smoke targets on first try.
300ms
Sandbox Ready
We have the fastest isolated runner from request to runnable.
95%
Pre-Merge Issue Recall
Flags issues caught before merge. Correctness, security, style.
GET A PERSONALIZED DEMO
DPLY at enterprise scale.
DPLY at enterprise scale.
Run in isolation, review with policy, merge safely.
Run in isolation, review with policy, merge safely.
Talk to us
on production-consistent output. DPLY operates with full context on your codebase and practices
on production-consistent output. DPLY operates with full context on your codebase and practices
#1 Coding Agent
Frequently asked questions
How does the agent understand large codebases?
Our Context Engine indexes repos, docs, and tickets under your ACLs, so plans and edits are grounded in your codebase and practices across the team.
How does the Sandbox provide safe execution of AI code?
Every run executes in an ephemeral, kernel-isolated environment with egress blocked by default. Secrets and tools are policy-gated, resources are quotaed, and full audit traces make runs reviewable and replayable.
What is AI code review?
A repository-aware reviewer that reads the diff in context, enforces your policies, and flags correctness, security, and style issues—often with one-click fixes before merge.
What makes DPLY different?
A single workflow: Coding Agent → isolated Sandbox → PR Reviewer, all powered by a shared context layer so changes run, explain themselves, and merge safely.
Trusted by development teams across

DPLY is how modern teams write code together.
Built to Make Development
Flow

DPLY is how modern teams write code together.
Built to Make Development
Flow
Trusted by development teams across
HOW IT WORKS
Lightning-quick deployment
Why teams choose
DPLY
ENTERPRISE
Grounded Understanding
Indexes repos, docs, tickets, and production signals with fine‑grained ACLs.
How it fits together
Plan → Propose changes → Run in Sandbox → Open PR → Review & merge.
Time to Merge
Without DPLY
With DPLY
40 hrs
3.5 hrs
Guardrails you can measure
Scenario tests, sandbox traces, and PR outcomes to track quality over time.
Thinking
Thinking
Run policy pack: PII-leak checks on this PR
Claude Sonnet 4.5
Context first
DPLY finds the right context automatically. Team's workspace gets smarter with every interaction.
Frequently asked questions
How does the agent understand large codebases?
Our Context Engine indexes repos, docs, and tickets under your ACLs, so plans and edits are grounded in your codebase and practices across the team.
How does the Sandbox provide safe execution of AI code?
Every run executes in an ephemeral, kernel-isolated environment with egress blocked by default. Secrets and tools are policy-gated, resources are quotaed, and full audit traces make runs reviewable and replayable.
What is AI code review?
A repository-aware reviewer that reads the diff in context, enforces your policies, and flags correctness, security, and style issues—often with one-click fixes before merge.
What makes DPLY different?
A single workflow: Coding Agent → isolated Sandbox → PR Reviewer, all powered by a shared context layer so changes run, explain themselves, and merge safely.
How does the agent understand large codebases?
Our Context Engine indexes repos, docs, and tickets under your ACLs, so plans and edits are grounded in your codebase and practices across the team.
How does the Sandbox provide safe execution of AI code?
Every run executes in an ephemeral, kernel-isolated environment with egress blocked by default. Secrets and tools are policy-gated, resources are quotaed, and full audit traces make runs reviewable and replayable.
What is AI code review?
A repository-aware reviewer that reads the diff in context, enforces your policies, and flags correctness, security, and style issues—often with one-click fixes before merge.
What makes DPLY different?
A single workflow: Coding Agent → isolated Sandbox → PR Reviewer, all powered by a shared context layer so changes run, explain themselves, and merge safely.
#1 Coding Agent
99%
Production-ready Changes
Builds cleanly and compiles across smoke targets on first try.
300ms
Sandbox Ready
We have the fastest isolated runner from request to runnable.
95%
Pre-Merge Issue Recall
Flags issues caught before merge. Correctness, security, style.

