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From syntax to orchestration.

Bartłomiej Krupa

Agentic Engineering · LLM Optimization · AI Cost Reduction

INDEX - ASK THE SITE

42 articles · 34 notes · 11 tools indexed

Models now turn plain language into working software. Writing every line stopped being the job. Directing the agents that ship it is.

No hype. Only what ships.

Shifts_And_Principles

Shifts

  1. AI writes the code now75%

    Shift

    75%

    of new code at Google is AI-generated

    Up from 25% in late 2024. In eighteen months the job flipped from typing code to directing the models that write it.

    Source: Sundar Pichai, April 2026

  2. The harness beats the model+13.7 pts

    Shift

    +13.7pts

    on Terminal-Bench - same model, new harness

    LangChain changed only the prompts, tools, and middleware around GPT-5.2-Codex and climbed 25 leaderboard places. The leverage moved to the setup, and the setup is engineering.

    Source: LangChain, harness engineering

  3. Working is cheap. Secure is not.45%

    Shift

    45%

    of AI-generated code failed security tests

    Veracode tested 100+ models: the code ran, and nearly half of it shipped OWASP Top 10 flaws. Anyone can get an app running by evening - shipping it safely is still the job.

    Source: Veracode GenAI Code Security Report, 2025

Principles

  1. Never ship what you can't explain19%

    Principle

    19%

    slower with AI - while feeling 20% faster

    In METR's randomized trial, experienced maintainers on their own repos lost time checking AI output and never noticed. If you can't explain the change, you can't tell whether it helped.

    Source: METR, July 2025

  2. Taste doesn't automate66%

    Principle

    66%

    of developers fight AI answers that are almost right

    "Almost right, but not quite" is developers' top AI frustration. Spotting the quietly wrong answer - and deciding what's worth building at all - stays with you.

    Source: Stack Overflow Developer Survey, 2025

LEANHARNESSNPM · MIT

A minimal Claude Code harness. One command.

If you vibe-code with Claude Code, this is the harness to start from: a lean CLAUDE.md skeleton, a verify-before-done loop, three read-only subagents, and credential deny rules. On four adversarial prompts it scored 4/4 where a 129-instruction CLAUDE.md scored 3/4 — [measured, not a benchmark](/articles/claude-md-adherence-bench). Every file maps to a rule published on this site.

$npx leanharness

10 files · 0 dependencies · nothing overwritten

About

I'm Bartłomiej Krupa. I write about harness engineering, agentic systems, and keeping LLMs cheap in production.

About me

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Less but more. Sent when it earns it.

Harness engineering, LLM optimization, and cutting AI cost - system designs and hard numbers. No weekly filler. I write when there's something new and useful.

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