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14 stories

Stories

  • How Jev Cut Our Classification Cost by 20×

    We moved bounded classification decisions in Ari from general-purpose LLM calls to TypeSafe's Jev, at roughly one-twentieth the cost and 10–15× the speed.

    Oats Blog6 min read
  • Running an Open-Source Project in Autonomous Mode

    oats is public, so anyone can file an issue, and most of maintaining it is toil. GitHub Actions workflows run Claude Code on a self-hosted runner. Three save the most time: auto-classification of every issue; autofix for bugs, critical review findings, and tasks, which it declines without…

    Oats Blog7 min read
  • How We Each Review Tens of PRs a Day

    At Ariso, we each review tens of pull requests a day. A GitHub Action prepares the handoff: when a draft becomes ready for review, Claude Code assesses risks, blockers, regressions, deleted behavior, and specific human checks.

    Oats Blog11 min read
  • Human-in-the-Loop Engineering

    AI can write code quickly, but shipping reliable software remains a human endeavor. The operating model I've built at Ariso: sprint planning becomes a dashboard of to-dos, I rewrite each in my own words inside Ivan, Ivan opens draft PRs, and custom widgets surface the review queue.

    Oats Blog4 min read
  • Junior Engineers Don't Need to Learn Syntax Anymore

    A hot take sparked by a Reddit thread about AI burnout: junior engineers should still learn data structures, architecture, and system design, because none of it is tied to a specific language.

    Oats Blog6 min read
  • Process Was Always the Bottleneck

    Every week an engineer I respect tells me they're worried a coding agent is coming for their job. Engineers spend about 30% of their time writing code, and the more senior you get, the less you write. The agents took the typing.

    Oats Blog7 min read
  • Keeping Claude in the Loop

    We mentioned a bug in a meeting on Tuesday. This morning, Claude Code suggested fixing it the moment I opened my terminal — and twenty minutes later there was a PR. Here's how ari-hooks wires Ari into Claude Code, and why we don't use a ticketing system anymore.

    Oats Blog6 min read
  • Standup in the Agentic Age

    If your standup is still a tour of what everyone — or everyone's coding agent — did yesterday, you're doing it wrong. Ari already knows what happened. Standup isn't the memory layer anymore; it's the steering layer. Here's how we run it at Ariso.

    Oats Blog4 min read
  • The 20-Minute Feature

    This isn't about autocomplete anymore, or a slightly smarter Clippy. We're talking about a bot that took a feature request from a chat message, understood the business context, scanned the entire codebase, and opened a production-ready Pull Request. It did it in 20 minutes.

    Oats Blog3 min read
  • Adopting LangChain's Middleware API

    Move beyond simple tool-calling agents. LangChain's middleware API lets you inject user preferences before model calls and orchestrate complex workflows after tool execution—turning brittle super-tools into composable, testable layers.

    Oats Blog5 min read
  • Secret Messages for LLMs

    Hidden context messages keep user-facing LLM chats clean while giving the model rich, per-message instructions—turning conversations into a predictable, tool‑driven workflow engine with a tiny amount of code.

    Oats Blog4 min read

Showing 14 of 14 stories

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