Articles, tutorials, and announcements
How Datarim's subagent-driven-development skill executes implementation plans by dispatching an isolated agent per task, running spec compliance and code quality reviews in sequence, and never stopping to ask for progress updates.
Read more →When migrating LLM response handling to API-side structured output validation, schema unit tests alone are not enough. The skill explains the contract boundary that breaks silently and the one wrapper-path test that closes it.
Read more →How Datarim's stage-snapshot-writer skill persists the last operator-visible response to disk after every pipeline step, so the next command can resume from the exact checkpoint without re-reading the session history.
Read more →How Datarim's self-verification skill runs a deterministic shell pipeline, a cross-model peer review, and a parallel multi-agent check against a single artifact — and why three layers are needed instead of one.
Read more →How Datarim's security skill embeds authentication rules, input validation, dependency auditing, and incident recipes directly into the agent workflow rather than leaving them for a post-merge review.
Read more →Datarim's security-baseline skill defines S1–S9: nine security rule clusters that apply whenever an agent ships a skill, template, script, or CI workflow. The threat model starts with how AI agents spread code.
Read more →Datarim's research-workflow skill gives agents a 10-checkpoint methodology for investigating external context before implementation — and a gap protocol for when unknowns surface mid-build.
Read more →Datarim's requesting-code-review skill dispatches an isolated reviewer agent that sees only the diff and requirements — not the author's thought process. That isolation is the point.
Read more →Datarim releases are cosign-signed and carry a SLSA L2 provenance attestation. The release-verify skill is the consumer-side recipe for checking both before any tarball is unpacked.
Read more →How Datarim's reflecting skill turns the end of a task into structured review, evolution proposals, and a health check — automatically, every time.
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