Tag: llm

From Code Generation to AI-Native: Insights from the Front Lines

An analysis of a panel discussion with Anthropic, Trae, and Replit, connecting their best practices for AI-native development to the evolving role of the software engineer.

Revisiting Vibe Coding: An Analysis of AWS's Practical Guide

An analysis of the AWS guide on vibe coding, comparing its structured, tool-centric approach with earlier conclusions on agentic workflows and human-led architecture.

A Practical Guide to Coding with LLMs: Dos and Don'ts

A structured approach to using AI coding assistants, moving from contemplative prompting to scalable agentic workflows.

Quantifying the Environmental Impact of Large Language Models

Mistral AI has published a comprehensive lifecycle analysis of its models, setting a potential standard for measuring the environmental impact of artificial intelligence.

Fixing the context window for LLM agents

A look at key strategies for managing context in LLM agents, inspired by an article from dbreunig.com and insights from Cognition AI.

Beyond keys: The rise of semantic and prefix caching for LLMs

An exploration of how new caching techniques from Redis, OpenAI, and Claude are tackling the expensive problem of repetitive LLM calls.

An oral history of how ChatGPT disrupted the field of NLP

A summary of a Quanta Magazine article that documents the shift in Natural Language Processing (NLP) following the rise of LLMs.

Leadership co-processing with LLMs

A look at how Large Language Models can be used as a thinking partner for leadership tasks, inspired by an article from James Stanier.

A refreshing, back-to-basics approach to coding with AI

A look at antirez's argument for using LLMs as direct, human-controlled add-ons, avoiding agents and retaining full control over the development process.

Twelve-factor agents: Building reliable LLM applications

A structured approach to creating production-ready LLM applications inspired by the classic 12 Factor Apps methodology

Simon Willison on Building with LLMs (PyCon 2025)

A link to Simon Willison's PyCon 2025 tutorial materials on building applications with llms

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