An AI software factory is a pipeline where agents propose and deterministic gates and accountable humans dispose. Here is how we follow one change through seven stages.
Passing tests do not prove a page works. Here is how we make AI agents open the real page, read the screenshot, and fix the browser path until proof is fast.
Our ai agent dispatcher never starts sibling chats. It prints a copy-paste packet and keeps a ledger, while a separate supervisor runs bounded workers inside its own session.
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Risk based code review for AI agents means deterministic path rules set the floor, agent evidence can only raise it, and humans stay required where a miss costs the most.
A developer burned a token budget on one multi-agent review, so we measured where the tokens went. Here is what an AI code review costs, what cut it, and what did not.
We split AI code review into a deterministic gate, fresh single-purpose reviewers and a computed tally, because one long-running reviewer skims its checklist and never asks the big questions.
How we test AI agent instructions like code: reproduce a missed rule from a real review, encode a bad and a good answer, score both with a rubric, and keep the case forever.
Agents are slow and CI is expensive for the same reason. Here is how we moved to CI for AI agents that runs on request, with loose iteration and one strict merge requirement.
We cut always-loaded agent instructions by about 76% without deleting knowledge, by moving guidance to the narrowest layer agents reliably find before it applies.
An AI coding agent sandbox is an environment contract, not a prompt. Here is how we made every checkout, cloud session, and worktree prove it is ready before an agent writes code.
Learn to prompt AI for working Pine Script v6 moving average, Hull MA, and Supertrend code, catch its common bugs, and turn the result into an alert.
Compare free AI tools for Pine Script: DeepSeek, Qwen, Mistral Vibe, Meta Muse, Perplexity, PineGen, and LuxAlgo Quant, by features and trader reports.
Cursor and GitHub Copilot for Pine Script compared: plans, model pools, rules files, MCP support, and what traders actually report in forum posts.
How to prompt Claude for Pine Script v6, backtest the strategy, add alert_message JSON, and connect a TradingView webhook, with the current model lineup.
How Claude Code handles Pine Script: installing TradersPost's pinescript-agents skills, adding an MCP docs server, and a full v6 strategy build through compile and alerts.
Gemini for Pine Script: what the one published test found, what traders report, current plan requirements, and the Gemini CLI to Antigravity CLI shift.
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