Orca – deterministic, AI-driven development flows
Orca Deterministic, AI-driven development flows. Orca allows you to programmatically define software development workflows where AI agents perform the coding. If you want AI-generated code to always be reviewed by another agent, don't try to coerce the agents; just express that requirement in code.
- ▪Orca Deterministic, AI-driven development flows.
- ▪Orca allows you to programmatically define software development workflows where AI agents perform the coding.
- ▪If you want AI-generated code to always be reviewed by another agent, don't try to coerce the agents; just express that requirement in code.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,547 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/VirtusLab/orca |
| Publication time | Fri, 18 Sep 2026 15:32:39 +0000 |
| Retrieval time | 2026-09-18T15:48:45.336Z |
| Last seen | 2026-09-18T15:48:45.336Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 7qc4NAfVeMTd · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Orca Deterministic, AI-driven development flows. Orca allows you to programmatically define software development workflows where AI agents perform the coding. If you want AI-generated code to always be reviewed by another agent, don't try to coerce the agents; just express that requirement in code. Don't waste tokens on formatting, committing, or creating PRs - all of this can be handled by an ordinary script. Orca comes with an orca cli, which can be used interactively by humans, or headlessly by humans and agents alike. A number of built-in flows, implementing e.g. a plan-implement-review loop, allow you to start using Orca right away. Orca flow scripts are written in Scala, and can be run with a single command through scala-cli, which is installed by the orca installer.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.