#Coding
13 notas · última:
Introducing Sonnet 4.6
Claude Sonnet 4.6 is Anthropic’s most capable Sonnet model yet, with stronger coding, computer use, long-context reasoning, agent planning, and a 1M-token context window in beta.
The hottest programming language in 2025: English
The page argues that AI is turning coding into a more declarative, language-based workflow, raising the baseline for developers while making speed, judgment, and project experience more valuable than syntax recall.
How I use AI agents to write code
The author says AI agents are useful when paired with project guidance, tests, plan mode, and repeated review loops, even if they still make common mistakes and feel frustrating.
I Tried Coding With AI Glasses. Here’s What Actually Happened.
The author says the glasses were a gift and that he would not have bought them himself, but used them to see whether they could improve his life as a developer. His first tests with AI help for code explanations were disappointing, so he shifted to a different use case focused on recording daily life.
Why AI Can't Replace Developers: The Real Limits of AI in Coding
The text argues that AI helps with repetitive and simple tasks, but fails at context, reasoning and debugging complex problems; therefore, it should be treated as an assistant.
The Art of Talking to AI: Prompts That Actually Work for Coding
The article says AI coding help works better when prompts are specific, include context, skill level, tools, output format, and requests for explanations or debugging help.
The Thirty Minute Rule
The author argues that anyone stuck on coding work for more than 30 minutes should ask for help, because it reduces frustration, can reveal missing information, and saves time and cost.
How to understand complex coding concepts better using the Feynman Technique
The article says the Feynman Technique helps turn complex coding topics into simple explanations by writing them out, testing understanding, teaching them, and then simplifying what still feels unclear.
The 8 Most In-Demand Programming Languages of 2016
The article explains why SQL, Java, Python, JavaScript, C#, C++, PHP, and Ruby on Rails were in demand in 2016, and describes what each language is used for, its learning curve, and typical users.
Think different by live-streaming your coding sessions
The article argues that live-streaming coding sessions can help programmers rethink problems, make their reasoning explicit, create living documentation, and invite useful viewer feedback during development.
Coding for SSDs – Part 6: A Summary
The article summarizes SSD fundamentals, controller behavior, access patterns, and system optimizations programmers should consider to reduce write amplification, improve throughput, and avoid common performance pitfalls.
Things I Wish Someone Had Told Me When I Was Learning How to Code
The article argues that learning to code becomes easier when you know what you want to build, stop treating coding as mystical, expect repeated failures, and keep going despite gatekeeping and style debates.
Why Pushing People to Code Will Widen the Gap Between Rich and Poor
The piece argues that making coding a required skill would deepen inequality by diverting scarce resources, ignoring literacy gaps, and shifting responsibility from technology design to individuals.