Specific
Cloud platform for AI coding agents to build, deploy, and monitor full-stack apps
Specific is a strong pick for agent-first teams that want to skip manual DevOps. The CLI's live database queries and preview data branching are genuinely useful, and recent additions like public buckets and Postgres extensions widen its appeal. However, you trade away fine-grained IAM and on-prem control unless you're on Enterprise. If you prefer traditional infrastructure control, consider Railway or Render instead.
Verified 1d ago · liveness 71/100 · cite: rightaichoice.com/tools/specific
- Developers using AI coding agents (Claude Code, Copilot) who want to eliminate manual DevOps
- Startups building full-stack apps rapidly with minimal infrastructure overhead
- Teams needing isolated preview environments for every pull request with real data
- Agent-heavy workflows where AI autonomously deploys and debugs production
- Teams requiring bare-metal or on-premises deployments (only on Enterprise, custom setup)
- Projects needing fine-grained IAM roles or complex network policies
- Developers wary of platform lock-in—Specific replaces multiple services
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Skip Specific if you need on-premises or bare-metal deployment outside Enterprise, require fine-grained IAM or complex network controls, or prefer traditional infrastructure management over an agent-driven declarative approach.
Going beyond the free tier's 0.25 vCPU and 512 MB memory per service requires upgrading to Pro at $25/month, which includes only $25 usage credits—exceeding that adds per-usage charges.
Specific's freemium model starts free for hobby projects, while Pro at $25/month suits production apps with usage-based scaling. Scale at $299/month fits growing teams. Compared to Railway or Render, which charge per container/instance, Specific's usage-based tiers with included credits may be more cost-effective for agent-driven workloads, but heavy usage can exceed fixed monthly costs.
In short
Specific — Cloud platform for AI coding agents to build, deploy, and monitor full-stack apps. Best for Developers using AI coding agents (Claude Code, Copilot) who want to eliminate manual DevOps, Startups building full-stack apps rapidly with minimal infrastructure overhead, Teams needing isolated preview environments for every pull request with real data. Free to start; paid plans from $25/mo.
What's new in Specific
Checked yesterdayAcross the latest 5 updates: 5 feature updates.
Managed Temporal Hosting: Durable Workflows Without the Ops
Specific launches managed Temporal hosting, enabling durable workflows via one config block, removing operational overhead.
Database credentials, deployment retries, faster previews
Adds named DB credentials, deployment retry for coding agents, and preview builds that reuse parent work.
How to Run Temporal Locally
Guide covers three local Temporal server setups, including zero-setup environment with persistence and Web UI.
Faster previews, GitHub deployment policies, agent feedback
Adds partial previews, optional CLI deployment blocking, agent feedback, and scaling/rollout visibility.
Protected identity, database access, deploy polish
Adds X-Specific-Token for protected env identity, DB Access tab, and deployment diagnostics improvements.
What people actually say about Specific — is it worth it?
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.
105 mentions across 7 sources (Hacker News, YouTube, Product Hunt, Bluesky, Stack Overflow, Lemmy, Tech Press) · researched Jul 28, 2026.
- +Product Hunt reviewers praise it for organizing user feedback effectively.
- +Feedback linking to features is highlighted as a standout feature.
- +Eliminates guesswork in prioritizing product enhancements.
- +Some users find it valuable during customer discovery phases.
- +Multiple 5-star reviews on Product Hunt (though for different product).
- −No community feedback confirms the platform works as described.
- −All public reviews are for a different product with same name.
- −Complete absence of Reddit, Hacker News, or GitHub discussions.
- −No technical blog posts or tutorials from real users.
- −YouTube results are completely unrelated to the platform.
- • No user-reported hidden costs available; pricing model is vague
- • Pay-per-usage could spike unexpectedly without caps
Viability Score
How well maintained and how widely used is Specific? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Declarative infrastructure via specific.hcl
- Auto-scaling services (web, workers, cron) with per-usage pricing
- Managed PostgreSQL with autoscaling, scale-to-zero, and bottomless storage
- Real-time sync engine for collaborative/local-first apps
- Vector store for semantic search
- S3-compatible storage with zero egress fees
- Durable workflow orchestration via managed Temporal hosting (Aug 2026)
- Preview environments with copy-on-write branching per PR
- Partial previews to build only affected services (Aug 2026)
- GitHub deployment policies to block direct CLI deploys (Aug 2026)
- Agent feedback via 'specific feedback' (Aug 2026)
- Named database credentials and deployment retries (Aug 2026)
- CLI: specific dev, deploy, query, status
- Read-only live database queries from CLI (Jun 2026)
- Public storage buckets and preview secret overrides (Jul 2026)
About Specific
Specific is a cloud platform designed around AI coding agents like Claude Code, letting you define both your application and its infrastructure in a single declarative file, specific.hcl. Your agent handles building, deploying, and scaling your stack—frontend, APIs, workers, cron jobs—without manual DevOps. It includes managed PostgreSQL with autoscaling and scale-to-zero, a real-time sync engine, S3-compatible storage with zero egress, vector search, and durable workflows via managed Temporal hosting (launched Aug 2026). The CLI (`specific dev`, `specific deploy`, `specific query`, `specific status`) and GitHub integration streamline development. Recent updates add public storage buckets, preview secret overrides, named database credentials, partial previews, and GitHub deployment policies. Specific positions itself as an alternative to Railway or Render, replacing multiple services like Vercel, Supabase, and Google Cloud. The free tier supports hobby projects, while paid tiers offer usage-based pricing with credits.
Behind the Verdict
Specific stands out by making the AI agent a first-class citizen in the deployment workflow. Instead of manually configuring hosting, databases, and storage, you define everything in specific.hcl and let your agent (e.g., Claude Code, Copilot) provision and deploy. The platform's breadth is impressive: services, managed Postgres, real-time sync, vector store, S3-compatible storage, and durable workflows—all in one place. This reduces the need to glue together multiple providers. The preview environments with copy-on-write data branching are a standout, letting you test against production data safely. Recent updates have filled gaps: public storage buckets, preview secret overrides, more Postgres extensions, named database credentials, deployment retries, and partial previews that only build affected services. The managed Temporal hosting (Aug 2026) adds durable workflow orchestration without operational overhead. The pricing is transparent with usage-based tiers, and the free tier is generous. However, you're locking into a platform that replaces several services, which could be a concern for teams that need granular IAM or on-premises control (only on Enterprise). Also, the success depends on how well your agent understands the specific.hcl format—the learning curve is real if you're not already agent-savvy. For solo developers and startups building with AI agents, Specific can dramatically speed up shipping, but for established teams with strict compliance or complex network requirements, it may feel limiting. If you're happy to let your agent handle infrastructure, Specific is a compelling choice.
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Real-world workflow fit
Concrete scenarios for the personas Specific actually fits — and what changes day-one when you adopt it.
You want to build and deploy a full-stack SaaS from scratch without manual DevOps.
Outcome: You write a prompt describing your app, and Claude Code uses Specific's docs and CLI to define resources in specific.hcl, run `specific dev` to test locally, then `specific deploy` to ship to production—all in minutes.
Every PR should have a preview environment with production-like data for testing.
Outcome: Specific automatically creates preview environments with copy-on-write data branching per PR, and your agent can query production data safely via read-only SQL, catching issues before merge.
You need to deploy internal tools with authentication and durable background jobs.
Outcome: You define an internal app in specific.hcl, enable automatic authentication via Scale tier, and set up Temporal-backed workflows for long-running tasks, all without manual infrastructure.
Use Cases
- Deploy a full-stack web app from scratch using only natural language prompts to a coding agent.
- Spin up isolated preview environments for every GitHub PR with cloned production data.
- Debug production performance issues by having your agent query live logs and metrics via `specific query`.
- Build a real-time collaborative task board with sync, file storage, and background jobs.
- Run scheduled cron jobs and durable workflows with automatic retries and state management.
- Migrate from Vercel+Supabase combo to a single platform for both frontend and backend.
- Deploy internal tools with automatic authentication and SSO membership management (Scale tier).
- Develop and test locally with `specific dev` without spinning up Docker containers.
Models Under the Hood
as of 2026-08-31
Limitations
- Specific is a cloud platform for AI coding agents that requires coding agents like Claude Code to interact with it via CLI and configuration files.
- It offers free, Pro, Scale, and Enterprise tiers with various limits, such as compute and storage caps on the free tier.
- The platform is designed for developers comfortable with infrastructure concepts and CLI usage.
- While it supports many features, it may not suit teams needing granular IAM or complex network policies, and on-premises deployments are only available on the Enterprise tier.
as of 2026-09-01
Verification history
We have re-verified Specific 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Specific tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo developers and hobbyists exploring platform, with up to 5 projects and basic hosting needs.
What this tier adds
Starting free tier with 5 projects, limited compute/storage, and 1-day data retention.
Pro
$25/mo
Ideal for
Freelancers and small startups running production apps that need scale and custom domains.
What this tier adds
Adds unlimited projects, auto-scaling, preview environments, and usage-based storage up to 50GB.
Scale
$299/mo
Ideal for
Growing teams deploying internal tools and needing SSO membership management and higher retention.
What this tier adds
Unlimited compute/storage, auto-auth for internal apps, 30-day retention, and real-time log export.
Enterprise
Custom
Ideal for
Large organizations with compliance needs requiring BYOC, on-prem, and SAML/OIDC SSO.
What this tier adds
Adds BYOC, on-prem deployment, configurable data retention, and dedicated support.
Where the pricing makes sense
The company stage and team size where Specific's pricing actually pencils out — and where peers do it cheaper.
Specific's freemium model starts free for hobby projects, while Pro at $25/month suits production apps with usage-based scaling. Scale at $299/month fits growing teams. Compared to Railway or Render, which charge per container/instance, Specific's usage-based tiers with included credits may be more cost-effective for agent-driven workloads, but heavy usage can exceed fixed monthly costs.
Setup time & first value
How long it actually takes to get something useful out of Specific — broken out by persona, not the marketing-page minute.
For a solo developer with a coding agent (Claude Code), you can go from zero to a deployed app in about 15-30 minutes, leveraging `specific dev` for local setup and `specific deploy` for production. For teams integrating GitHub, preview environments and deployment policies can be configured in under an hour. The free tier and docs facilitate a quick start.
Switching to or from Specific
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Vercel+Supabase: Replace both by defining your frontend and database in specific.hcl, and use Specific's Postgres and storage to move data.
- →From Railway or Render: Recreate services in specific.hcl and use `specific deploy` to redeploy, with data migration via Postgres dumps or storage sync.
- →From a manual Docker setup: Use `specific dev` to replace local Docker Compose, then deploy with `specific deploy` to production.
- ↗To Vercel+Supabase: Export your Postgres data and static frontend, then redeploy on those platforms manually.
- ↗To Railway or Render: Recreate services in their dashboards and move data via standard Postgres migration tools.
- ↗To AWS or GCP: Use specific.hcl as a reference to manually provision equivalent services, though you'll lose the agent-friendly abstraction.
Integrations
Resources & Guides
- Documentationspecific.dev
Docs · Specific
Full product docs from specific.dev
- Resourcespecific.dev
Managed Temporal Hosting · Specific
Helpful link from specific.dev
- Resourcespecific.dev
What Is Durable Execution · Specific
Helpful link from specific.dev
- Resourcespecific.dev
Changelog · Specific
Helpful link from specific.dev
Tutorials & Learning
Official links
Tools that pair well with Specific
Common stack mates teams adopt alongside Specific, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Specific vs Spider Cloud
Choose Specific if you're building full-stack apps and want your AI coding agent to manage infrastructure declaratively — it's a one-stop platform replacing Vercel, Supabase, and AWS. Choose Spider Cloud if your AI agents need to fetch, crawl, or scrape web data at scale for RAG pipelines — it's purpose-built for fast, reliable extraction. They solve different problems: app deployment vs. data ingestion.
Specific vs Voyage Ai
Voyage AI and Specific solve completely different problems: one is a specialized embedding API for RAG, the other is a full-stack deployment platform for AI agents. If you need high-accuracy retrieval on finance/legal documents with enterprise compliance, choose Voyage AI. If you're building apps with coding agents and want to skip DevOps, choose Specific. They are complementary, not competing.
Specific vs Temporal Ai
If you need a battle-tested, open-source durable execution engine to orchestrate complex AI agents and workflows that survive failures, Temporal AI is the clear choice. For developers leveraging AI coding agents to build full-stack apps rapidly with minimal DevOps, Specific provides a streamlined, agent-friendly platform. Choose based on whether your core need is reliable workflow orchestration or turnkey application infrastructure.
Alternatives to Specific
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