#software engineering methodology
805 related articles
·3 min
System Prompts Should Be Version-Controlled Like Code
System prompts drive LLM apps but often lack version control and regression testing. Learn how to manage them with versioning, structured separation, testing, and code review.
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·2 min
Game Benchmarks: A New Approach to Evaluating Large Language Model Capabilities
Traditional AI benchmarks are losing discriminative power. Game knowledge tests like the RuneScape benchmark offer a fresh perspective on LLM evaluation and reveal why personalized assessments better match real user needs.
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·3 min
Why We Abandoned Our LLM Router: Lessons in Over-Engineering
An in-depth analysis of why teams are abandoning LLM routers, exploring hidden complexity costs, outdated cost assumptions, and how to avoid over-engineering in AI systems.
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·2 min
AI-Generated Future City Images: The Imagination and Realistic Boundaries of Concept Art
Exploring how AI image generation reshapes future city concept art, analyzing text-to-image tools like Midjourney in visual creativity, and the boundary between AI imagination and real urban planning.
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·3 min
James Kuffner Deep Dive: From the RRT Algorithm to Symbotic's Large-Scale Warehouse Robotics
Explore RRT co-inventor James Kuffner's career from Cloud Robotics and Google Robotics to Symbotic CTO, driving robots from labs to Walmart warehouse-scale deployment.
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13 Models, 4 Agents: Who Is the Best Coding AI?
A systematic evaluation of 13 LLMs, 4 agent frameworks, and 5 programming languages reveals the real differences in AI coding capabilities and optimal model-framework pairing strategies.
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Nommer.ai: Turning Recipes into 2-Player Cooperative Cooking Mode
Nommer.ai is an iOS recipe app that intelligently splits any recipe into 2-player cooperative mode, enabling two cooks to work in parallel and complete dishes together with seamless coordination.
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·3 min
Thermodynamic Elastic Compiler (TEC): Tackling AI Compute Bloat Through Reversible Computing
Deep analysis of how the Thermodynamic Elastic Compiler (TEC) leverages Landauer's Principle and reversible computing to reduce AI energy consumption by eliminating 99.5% of bit erasures, with applications in edge AI and distributed deployment.
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·3 min
How to Test a 25-Minute AI Voice Call? A Practical Guide to Long Conversation QA
Deep dive into QA challenges for long AI voice calls: why short script testing fails, how to evaluate context tracking, state management, and task correctness with actionable testing methodologies.
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·2 min
OpenCalc: An Open-Source Remake of the Windows 95 Calculator with Bug Fixes and Cross-Platform Support
OpenCalc is an open-source project that faithfully recreates the Windows 95 calculator with 100% new code, fixing original calculation bugs and adding history, undo/redo, with native Linux support.
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·3 min
AI-Assisted Security Auditing: Finding 41 Vulnerabilities for $3,140 — A Practical Analysis
Analysis of an LLM-assisted security audit that found 41 vulnerabilities in GlobaLeaks for just $3,140, exploring AI security auditing's cost-effectiveness, methodology, and impact on open-source security.
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·2 min
GitHub Copilot Stacked Sessions: A New Paradigm for Refactoring Legacy Code
Deep dive into GitHub Copilot's Stacked Sessions and Pull Requests for systematically refactoring legacy code, elevating AI-assisted programming to task-level collaboration.
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·2 min
Krea 2 Turbo + Wan 2.2: A Detailed Workflow for Turning Static Images into Dynamic AI Videos
A detailed guide on using Krea 2 Turbo for high-quality static images and Wan 2.2 i2v to add dynamic motion—covering technical principles, key steps, and practical tips.
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·3 min
Prelint: The Gatekeeper That Prevents AI-Generated Code from Drifting Away from Product Intent
Prelint prevents product drift in AI-generated code by comparing PRs against ADRs and product docs before merge. A deep dive into this Product Hunt #1 developer tool.
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·3 min
Prelint: The Gatekeeper Preventing AI-Generated Code from Drifting Away from Product Intent
Prelint prevents product drift in AI-generated code by comparing PRs against ADRs and product docs before merge. A deep dive into how this Product Hunt #1 tool solves context gaps in AI coding.
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·4 min
Leaping AI: Voice AI Agents That Automatically Execute Weeks-Long Telemarketing Follow-ups
Leaping AI builds voice AI agents for blue-collar services like home improvement and roofing, supporting 100+ concurrent calls, multi-day campaign auto-follow-ups, multilingual switching, and deep CRM integration.
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·4 min
G.I.A.ac: An AI Architect That Generates Working Apps from a Single Sentence
G.I.A.ac (General Intelligence Architect) is an AI architect tool that generates runnable apps from a single sentence. Deep dive into its positioning, competitive landscape, target users, and core challenges.
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·3 min
Why AI Products Always Fall Short: The Key Is Deletion, Not Creation
jQuery UI creator Paul Bakaus identifies the core quality problem in AI products: it's not insufficient generative power, but a lack of editorial judgment. When AI output density is too high, human aesthetic trade-offs become the key differentiator.
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·3 min
Code Refactoring and Culinary Evolution: How Software Thinking Explains Cultural Transmission
From Iraqi stew to Singaporean cuisine across centuries—using software refactoring concepts to decode cultural evolution, code reuse, and incremental change.
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·3 min
Code Refactoring and Culinary Evolution: How Software Thinking Explains Cultural Transmission
From Iraqi stew to Singaporean cuisine: a cross-century journey explored through software refactoring metaphors, revealing universal laws of complex system evolution.
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