Singularity vs Kiro: spec-driven agents or a Kanban of tickets?

Kiro is the agentic development environment built and operated by AWS. It made its name with a spec-driven approach: before writing code, the agent drafts requirements, a design and a task list for you to approve. Today Kiro comes as an IDE, a CLI, a web app with an autonomous mode, a mobile app in preview and Kiro Crew.

Singularity also frames agent work, but around a different object: a ticket on a Kanban board, run in a Git worktree and reviewed before integration. So the decision is about where the structure lives (Markdown specs or tickets with dependencies), where execution happens (your machine or a cloud sandbox) and the cost model (Kiro credits or your own provider subscriptions).

Comparison checked on 10 October 2026 against Kiro's official documentation and Singularity's own. It compares workflows, not speed or generated-code quality. Public prices in USD/EUR as displayed, excluding tax and usage; they may change.

In short

• Kiro turns a request into three documents (requirements, design, tasks), backed by steering files and hooks, then runs independent tasks in parallel.
• Singularity organises work as tickets on a board: every run gets its own worktree, reports its activity and goes through a Review tab before being rebased in.
• Kiro runs its agent locally (IDE, CLI) or in a cloud sandbox (Web, cloud sessions) that opens pull requests; Singularity launches provider CLIs on your machine.
• Kiro charges in credits, from $0 (50 credits) to $200 per month; Singularity is free, bundles no model and offers a 24 EUR per month per workstation licence for its paid plugins.

What Kiro is

According to its home page, Kiro is "Built and operated by AWS", and no AWS account is required. The FAQ says the IDE is based on Code OSS and that you sign in with GitHub, Google, AWS Builder ID or IAM Identity Center; extensions come from the Open VSX registry (VS Code migration). IDE 1.0 added a permissions system, structured hooks and an experimental Agent Focus mode with parallel sessions (what's new in 1.0).

A single agent harness powers the IDE, CLI, Web and mobile apps over the open ACP protocol (how Kiro works). It runs locally in the IDE and CLI, and in a cloud sandbox for Web, mobile and cloud sessions, up to ten at a time, which return changes as pull or merge requests.

Specs produce requirements.md (or bugfix.md), design.md and tasks.md; requirements use EARS notation (feature specs), and independent tasks run in concurrent waves. Steering adds lasting context (product.md, tech.md, structure.md, AGENTS.md) and hooks run a command or a prompt on events such as a file save. On the Web, autonomous mode plans, delegates to sub-agents and opens pull requests. There are also Powers, packages of skills and MCP configuration, and Kiro Crew, an open-source personal agent.

Singularity at a glance

Singularity is a desktop ADE (Agentic Development Environment) made by Meteor Factory: an editor with language servers, a native terminal, a Git client (graph, diffs, stash, worktrees), multi-project workspaces and a Kanban board that acts as the execution surface for agents. A ticket carries the description, priority, dependencies and agent configuration; it then keeps the report, blockers and a short resolution. With worktrees enabled, every run works in its own Git checkout and its commits are rebased onto the base branch, automatically or after review. Orchestration drives the CLIs of seven providers (Claude Code, Codex, Copilot, Cursor, Gemini, Mistral, Ollama) with your own accounts. The app is free; the licence only unlocks paid plugins from the Marketplace, such as Pipelines.

Comparison table

Spec or ticket: two ways to frame a request

A Kiro spec is a design document versioned with the code. It forces you to spell out expected behaviour, architecture and breakdown before implementation: for a fuzzy feature, you review requirements instead of a long diff. A "Quick Spec" without approval gates exists for requests that are already clear.

A Singularity ticket is a unit of execution. Its description is the brief, but its strength lies in what surrounds it: priority, type, dependencies, child tickets, recurring schedules, choice of provider and model, and the report. Singularity does not impose a specification format, so writing a precise description is up to you. Our complete, verifiable ticket example provides a copyable template with observable criteria and verification commands, without requiring Kiro spec syntax.

The same feature in both tools

Take a common request: add a CSV export of invoices, with an API endpoint and a button in the UI.

With Kiro

You start a feature spec. Kiro drafts requirements ("when the user clicks Export, the system shall produce a CSV of the filtered invoices"), a design and a task list. You adjust each document, then run all tasks: independent ones start together and the rest follow in waves. A hook can run the linter on every save. In the IDE you review diffs and can roll back to a checkpoint; on the Web, the agent opens a pull request you comment on.

With Singularity

You create two tickets, "CSV export endpoint" and "Export button", with the second blocked by the first. The scheduler starts the API ticket; the agent works in its worktree, publishes its phase on the card and ends with a report. With auto-merge off, the result waits in the Review tab: you approve file by file, annotate or send the run back with feedback. After the rebase, the UI ticket starts from a base that contains the endpoint.

Kiro has you validate the thinking upstream; Singularity has you validate the result downstream. Either way, tests remain essential.

Local, cloud and parallelism

Kiro covers both worlds: locally, the IDE and CLI use your shell and toolchain; in the cloud, the same harness runs in an isolated sandbox without uploading your local copy, and keeps going after you close your laptop. Parallelism comes from task waves, sub-agents, Agent Focus mode and cloud sessions.

Singularity stays local: each agent runs on your machine in its own worktree, the number of concurrent agents is configurable and the scheduler respects priorities and dependencies. A run interrupted by closing the app is reattached or put into an explicit state on restart. No built-in cloud execution, but direct control over the local environment and tools.

Git, pull requests and integration

In the IDE, Kiro shows the agent's diffs and checkpoints you can roll back to. In the cloud, the agent creates a branch, commits, opens a pull or merge request on GitHub or GitLab, then responds to comments with /kiro all or /kiro fix (working with the web agent). Review happens where the team already reads code.

Singularity integrates locally, without a forge: the Review tab lets you approve each file, edit in the worktree, merge only approved files or relaunch with feedback. Integration uses a rebase, and a commit queue serialises concurrent integrations on a project. Tests are still needed after a rebase: two tickets can introduce incompatible rules without a Git conflict.

Models, credits and cost structure

Kiro bills usage in credits shared across IDE, CLI and Web (pricing): Free at $0 with 50 credits, Pro at $20 (1,000 credits), Pro+ at $40 (2,000), Pro Max at $100 (5,000) and Power at $200 (10,000) per user per month, plus $0.04 per extra credit; Enterprise is quoted on request. The model list gives each model a credit multiplier: Auto router, Claude Sonnet and Opus, experimental GPT models and cheaper open-weight models.

Singularity keeps the tool and inference separate: the app is free, with unlimited agents, projects and worktrees, and the 24 EUR per month per workstation licence (14-day trial) only covers paid plugins. Model costs depend on the subscriptions you already hold with each provider, with no second usage meter.

Data and privacy

According to the data protection page, content from free users and individual subscribers may be used for service improvement unless they opt out in settings, and is stored in the AWS US East (N. Virginia) Region; on Enterprise it is not used for that purpose.

Singularity does not upload your code on its own: only the CLIs you configured talk to their services, under their own policies. With Ollama running locally, inference stays on the machine; app data lives in a local SQLite database.

Where Kiro is stronger

• Specification method: EARS requirements, design and tasks versioned in the repo, with a dedicated bugfix flow.
• Cloud execution: sessions in a managed sandbox that keep running without your machine and come back as pull requests.
• Event-driven automation: hooks on file saves or tool calls, and conditional steering by file pattern.
• Ecosystem: Open VSX extensions, partner Powers, and ACP to use Kiro from JetBrains or Zed.
• AWS enterprise framework: IAM Identity Center, regions, GovCloud and billing through AWS.

Where Singularity stands out

• One board for all the work: tickets of different kinds, priorities, dependencies, child tickets and recurring schedules in a single view.
• Isolation per run: each agent works in its own local worktree without touching your uncommitted files.
• Controlled local integration: file-by-file review, partial merge, linear rebase and a commit queue, with no dependency on a forge.
• Provider choice: seven providers, including local models through Ollama, using your existing accounts with no intermediate credits.
• Free application: every feature without a subscription; only paid plugins are billed.

Can you use both?

Yes, on the same repository. Kiro specs are Markdown files, so you can write the spec in Kiro and then create Singularity tickets that point to tasks.md for Claude Code, Codex or Copilot to execute in worktrees, which the Kiro IDE can also open.

Two limits: Singularity does not drive Kiro as a provider, and Kiro hooks only fire when the Kiro harness is doing the work; the repository's Git hooks apply on both sides. See also Singularity vs Antigravity and, for cloud delegation, Singularity vs Devin.

Which tool should you choose?

• Team that wants to formalise requirements before coding: Kiro, for its specs and requirements, design, tasks flow.
• Organisation already standardised on AWS: Kiro, for AWS identity, billing and governance.
• Someone who wants to start tasks from a phone or let an agent run overnight in the cloud: Kiro Web and its cloud sessions.
• Small team managing a varied backlog: Singularity, for the board, dependencies and review before integration.
• Developer already paying for Claude, ChatGPT or Copilot, or wanting local models: Singularity, which reuses those accounts or Ollama.

Trial protocol

1. Pick a real feature that touches an API and a UI, with written acceptance criteria.
2. In Kiro, create a spec, review the three documents, run all tasks and note the time spent fixing the spec and then the code.
3. In Singularity, split the same request into two dependent tickets, turn auto-merge off and review each run in the Review tab.
4. Run the same test suite on both results and compare the Git history each produced.
5. Record the Kiro credits consumed and the usage with the provider Singularity drove.

Frequently asked questions

Do I need an AWS account to use Kiro?

No. Kiro states that no AWS account is required: you sign in with GitHub, Google, AWS Builder ID or, in an enterprise, IAM Identity Center.

Can Singularity read a Kiro spec?

There is no dedicated integration, but specs are Markdown files in the repository. An agent started from a ticket can read them in its worktree if the ticket description refers to them.

Which one is cheaper?

It depends on your usage. Singularity is free but you pay your AI providers; Kiro includes inference in its credits, from 50 free credits to 10,000 credits for $200 per month. Compare over a real week of work.

To go further, browse all Singularity comparisons, read the getting started guide, or download Singularity to try the board on your own repository.