engineering Archives - Petamind https://petaminds.com/tag/engineering/ A.I, Data and Software Engineering Thu, 09 Apr 2026 19:38:39 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://petaminds.com/wp-content/uploads/2019/09/ic_launcher.png engineering Archives - Petamind https://petaminds.com/tag/engineering/ 32 32 Harness Engineering: The New Paradigm of Agent-First Software Development https://petaminds.com/harness-engineering-the-new-paradigm-of-agent-first-software-development/ https://petaminds.com/harness-engineering-the-new-paradigm-of-agent-first-software-development/#respond Thu, 09 Apr 2026 19:37:55 +0000 https://petaminds.com/?p=5206 In late 2025, an engineering team at OpenAI ran a massive internal experiment that demonstrated the true power of Harness Engineering. They successfully built and shipped a beta software product containing roughly a million lines of code, and humans manually wrote exactly zero of them. Instead, humans orchestrated a suite of Codex agents to write […]

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]]> https://petaminds.com/harness-engineering-the-new-paradigm-of-agent-first-software-development/feed/ 0 THE JOEL TEST quick note: 12 STEPS TO BETTER CODE https://petaminds.com/the-joel-test-quick-note-12-steps-to-better-code/ https://petaminds.com/the-joel-test-quick-note-12-steps-to-better-code/#comments Wed, 21 Oct 2020 21:17:58 +0000 https://petaminds.com/?p=2810 Recently, I came across a company’s profile and found their Joel test. Basically, it is for a better quality of software team/company. So I decided to share it here in the simplified version. The great part about it is that it takes about 3-5 minutes compared to approx 6 years to understand SEMA. The Joel […]

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]]> https://petaminds.com/the-joel-test-quick-note-12-steps-to-better-code/feed/ 2 Feature Engineering FundamentalS https://petaminds.com/feature-engineering-fundamentals/ https://petaminds.com/feature-engineering-fundamentals/#respond Tue, 22 Sep 2020 11:20:23 +0000 https://petaminds.com/?p=2714 The features you use influence more than everything else the result. No algorithm alone, to my knowledge, can supplement the information gain given by correct feature engineering. — Luca Massaron What is a feature and why we need engineering of it? Basically, all machine learning algorithms use some input data to create outputs. This input data […]

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