
Cloud platform for AI coding agents to build and deploy apps with infrastructure auto-managed.
By Tanmay Verma, Founder · Last verified 06 Jul 2026
In short
Specific — Cloud platform for AI coding agents to build and deploy apps with infrastructure auto-managed. Best for Developers using AI coding agents who want a unified infrastructure platform, Startups building full-stack apps rapidly with minimal DevOps, Teams needing isolated preview environments for every pull request. Free to start; paid plans from $2525/mo.
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Specific is the best option we've seen if your team relies on AI coding agents and wants to minimize manual infrastructure work. It replaces multiple services with one agent-native platform. Not ideal if you need deep cloud control or can't tolerate platform lock-in.
Compare with: Specific vs OpenHands, Specific vs Draftbit, Specific vs Bito
Last verified: July 2026
Across the latest 7 updates: 7 feature updates.
Coding agents can query live Postgres databases via CLI in read-only mode. Preview environments gain per-service compute sizing and volume reset commands.
Interactive shell for running services from dashboard. Preview environments use copy-on-write volume clones. CLI shows preview URLs and supports querying preview deploys.
Cron jobs defined in specific.hcl with dashboard logs and metrics. Domain Connect support for custom domains. Postgres gains ltree and pgrouting extensions.
Dashboard sidebar flags unhealthy projects with recent service issues, linking to affected services.
Coding agents can run ad-hoc SQL queries against live logs, traces, and runtime metrics via specific query.
Health check endpoints configurable in specific.hcl. Volume usage chart on service pages. Faster uploads. PR previews can be gated by GitHub label.
Custom domain configuration now available.
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
98 mentions across 5 sources (Hacker News, Product Hunt, Bluesky, Stack Overflow, Lemmy).
How likely is Specific to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Specific is a cloud platform purpose-built for AI coding agents like Claude Code or Copilot. It lets agents define and manage both application code and infrastructure from a single declarative configuration. Developers write resources such as services, databases, and storage in an HCL file, and Specific handles building, deploying, and scaling the entire stack—frontend frameworks, backend APIs, workers, cron jobs, PostgreSQL with autoscaling, real-time sync, S3-compatible storage, and Temporal-powered workflows. The platform offers CLI commands optimized for agents: `specific dev` for local environments, `specific deploy` for production, and `specific query` for ad-hoc SQL on live logs and runtime metrics to debug production. Projects get preview environments per pull request with copy-on-write data branching, custom domains via Domain Connect, and a dashboard with health checks and project health flags. Pricing starts free with a hobby tier and scales per-usage, making it attractive for startups and agent-heavy teams that want to skip stitching together Vercel, Supabase, and AWS. Compared to alternatives like Railway or Render, Specific is the only platform that natively surfaces infrastructure context to AI agents, allowing them to autonomously deploy, debug, and optimize without human DevOps intervention.
We'd reach for Specific when our development workflow is agent-driven—Claude Code or Copilot writes code and we want it to also handle deployment without human hand-holding. The `specific.hcl` file is intuitive: define a service, add a database, and the agent knows exactly how to provision and connect them. The preview environments with copy-on-write data branching are a standout—they give each PR its own isolated full-stack environment, including real data snapshots, without blowing through storage costs. Where it bites: you're trading granular control for speed. If you need custom IAM policies, VPC peering, or on-prem servers, you'll hit walls until the Enterprise tier with bring-your-own-cloud. The per-usage pricing can surprise high-traffic apps—0.25 vCPU/512MB Tiny services at $0.009/hour sound cheap, but egress at $0.09/GB adds up. Comparing to Railway: Railway also abstracts away servers, but it's not agent-native—you still manually configure via dashboard. Specific lets your coding agent do everything from `specific dev` (local) to `specific deploy` (prod) to `specific query` (debug). For teams that live in the terminal with an AI co-pilot, that difference is huge. One caveat: the platform is relatively new; we haven't seen it battle-tested at massive scale. The changelog shows rapid iteration—health checks, domain connect, scheduled jobs all landed in the last few months—so expect rough edges. If you're a startup building an MVP fast, this is a no-brainer. If you're a regulated enterprise, wait for Enterprise tier and bring your own cloud.
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Common stack mates teams adopt alongside Specific, with the specific reason each pairing earns its keep.
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