Does Atomic use Jev for its agent decisions?

Yes. According to its curated directory summary, Atomic ships a first-class Jev structured-output provider, so an agent's decisions come back typed through the same decision resolver used by its other providers.

Who is Atomic aimed at?

Engineering teams that want coding-agent runs defined as explicit stages with scoped context, checks, review gates and human approvals rather than one-shot prompting. The README says complex runs can take hours or weeks because research, implementation and verification happen inside the run.

What does a workflow actually look like?

You describe inputs, parallel stages, synthesis and outputs in prose, and Atomic writes and reloads the runnable TypeScript graph. The graph carries scoped context, model choice, tools, handoffs, artifacts, retries, executable checks, review gates and human approvals, and the project is built on TypeScript 7.x.

What happens if I kill a run partway through?

Runs checkpoint as they go, so killing the process leaves them retained and resumable rather than lost. The resume picker lists retained workflow runs with their checkpoint counts, and a run can also be steered, paused or aborted while it is streaming.

How does verification fail and recover?

Executable checks and fresh reviewers produce evidence, and failures route into bounded repair until the gate passes. The published crash-course session shows a security-review graph where a hardcoded API key finding goes into repair-1 and the header reaches four-of-four complete only after the loop closes.

Can a person approve partway through?

Yes. An approval gate can sit anywhere in the graph and the run waits for a person before proceeding, and you can attach to a running stage to watch it stream and steer or abort it mid-flight. Separate sessions can also message each other over intercom to split a job and agree on an answer.

What license is it under, and how solid are those numbers?

The README shows an MIT badge while GitHub's metadata reports the license as Other (NOASSERTION), so confirm terms before reuse. The headline figures, a 1 to 1.5 hour cut in manual verification per task and about a 95% merge rate on generated pull requests, are user-reported rather than independently measured.

CommunityJev Integrations & Adapters

Atomic

Verifiable coding agent runtime with 855 stars. Ships a first-class Jev structured-output provider so agent decisions come back typed through the same decision resolver as its other providers, alongside plain-English workflows, approval gates and evidence-backed verification stages.

See highlights

Open github.com

Stars: 856
Language: TypeScript
Published by: Community
Last verified: Oct 2026

bastani-inc/atomic

Organization repository on GitHub

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The verifiable coding agent runtime. Define your coding agent's process in natural language with stages, checks, and approval gates instead of hoping it follows your instructions. Primitives for verifiable software factories.

Forks: 116
Last pushed: Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

About this project

The verifiable coding agent runtime. Build your engineering process as explicit, checkable execution graphs. Run verifiable engineering loops with control, alignment, and confidence. Atomic prioritizes quality over quick responses. Complex runs can take hours, days, or weeks because Atomic researches, implements, and verifies the work that quick coding-agent passes tend to leave to you.

Quoted from the project's README. Read the full README.

Tagscommunity coding-agents verification workflows

Works forJev for Code Jev for Decision gating

Used inJev for Software & DevTools

Languages: TypeScript
Capabilities: Open sourceRequires API key

Highlights

Describes itself as the verifiable coding agent runtime, with workflows defined in plain English and reloaded as runnable TypeScript graphs.
Ships a Jev structured-output provider so an agent's decisions return typed through the same decision resolver as its other providers.
Verification built in: executable checks and fresh reviewers produce evidence, and failures route into bounded repair until a gate passes.
Lists GitHub, GitLab, Jira, Linear, Slack, Docker, Kubernetes, PostgreSQL, Playwright, Chrome and MCP among supported stack integrations.
README's user-reported figures include a 1-1.5 hour reduction in manual verification per task and a ~95% merge rate on Atomic-generated PRs.

Watch out

GitHub reports the license as 'Other' (NOASSERTION) although the README shows an MIT badge; confirm terms before reuse. Performance figures in the README are user-reported, not independently measured.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

Reddit: Localization QA with a decision model: meaning, terminology, and placeholders as separate checks.

Hacker News: Pick Verify: a single decision at the warehouse pick station catches confusable picks.

Show HN: Verifying robot picks with a decision modelRead the thread on Hacker News

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