You’re Not Taking On Enough Tech Debt

kept by eddie feb 09

Because LLMs drastically lower the cost of cleaning up messy code, engineers should take more intentional technical debt now and trust future models to service it.

The Economics of Software Teams: Why Most Engineering Organizations Are Flying Blind - Viktor Cessan
Software teams costing €130k per engineer per year must generate 3–5× that to be viable, yet most lack financial visibility, a condition now exposed by AI.
also on LLMs, #business-strategy, #software-engineering, #productivity
Engineering management after the cost of code collapsed
Engineering management must refocus on auditing assumptions, measuring business outcomes, and owning specification and accountability, as AI-driven code production makes traditional output metrics misleading.
also on LLMs, #ai-coding, #software-engineering, #productivity, #developer-tools
Inference is the New Sales & Marketing Spend
AI-native startups like Cursor and Lovable treat high inference costs as a growth investment that replaces traditional sales and marketing spend.
also on Andrej Karpathy, #business-strategy, #ai-coding, #productivity
Thoughts on slowing the fuck down
Rapid adoption of AI coding agents in production codebases leads to compounding errors, complexity, and loss of maintainability; the author advocates for slowing down and maintaining human oversight.
also on Andrej Karpathy, #ai-coding, #software-engineering, #productivity, #developer-tools