Nick

Speaks about AI dev. Gauntlet AI Grad

[Nick @AIxxNick]

Check out my latest article: Stop approving AI output. Start comparing it. https://t.co/TTmRd7wCp7 via @LinkedIn

[Nick @AIxxNick]

Check out my latest article: Why AWS, Microsoft, Anthropic, and OpenAI are all hiring forward-deployed engineers https://t.co/h3WFzq0KR3 via @LinkedIn

[Nick @AIxxNick]

Check out my latest article: Context engineering is the real production bottleneck https://t.co/O4UliuqEZx via @LinkedIn

[Nick @AIxxNick]

Check out my latest article: Spec-driven development 3.0 will be a loop, not a bigger document https://t.co/EvdCGlvHWZ via @LinkedIn

[Nick @AIxxNick]

Check out my latest article: Think twice before adding a second agent. Why multi-agent systems don't always work. https://t.co/7pqpn8773c via @LinkedIn

[Nick @AIxxNick]

Stop being polite to your LLM! Being polite uses millions of dollars worth of electricity.

We all know you are a nice person, your LLM doesn't care though.

#ai #techtips #openai

[Nick @AIxxNick]

Anyone using GPT-4.1 in Cursor despite its lower SWE-bench score? 🤔 Curious how it’s holding up for you—any wins or frustrations? Drop your experience below! 👇 #Programming #AI

[Nick @AIxxNick]

AI coding showdown: Gemini 2.5 Pro crushes SWE-bench at 63.8%, nailing a flight simulator & Rubik’s Cube solver in one go! Claude 3.7 Sonnet hits 62.3% (70.3% optimized), but stumbled on similar tasks. GPT-4.1 trails at 54.6%, yet shines in frontend & big codebases. #AI #Coding

[Nick @AIxxNick]

Been coding with Gemini 2.5 in Cursor. It's been smooth, but it can stall. Claude 3.5 swoops in to fix issues in one shot. Benchmarks like SWE-bench show strengths, but real-world use varies. Claude’s Thinking Mode & GPT-4.1’s context window have their moments. What’s your go-to?

[Nick @AIxxNick]

Takeaway: Context window size isn’t just a spec, it’s your AI dev superpower. Pick the right LLM (Grok3, Claude 3.7, Gemini, etc.) based on task + window needs. Optimize for cost, speed, & quality. Your next AI-first project will thank you. #AIdevTips

[Nick @AIxxNick]

Context window size in LLMs is a game-changer for AI-first coding. It’s the amount of info an LLM can process at once which is crucial for picking the right model for the job. Let’s dive into why it matters + some killer stats from the @gauntletai cohort👇. #AIdevelopment

[Nick @AIxxNick]

Long context windows unlock in-context learning. Feed hundreds of code examples or your repo history into your prompt, and suddenly debugging becomes easier. However, stuffing too much into a massive window can drown the LLM in noise. Smart context mgmt = sharper outputs!

[Nick @AIxxNick]

Other example:

Reflect on 5-7 different possible sources of the problem, distill those down to 1-2 most likely sources, and then add logs to validate your assumptions before we move onto implementing the actual code fix.

[Nick @AIxxNick]

Cursor's a simp....when using it with Claude

To prevent Cursor from simping, be more prescriptive or ask the LLM to provide reasoning first

E.g. Start by writing 3 reasoning paragraphs analyzing what the error might be. DO NOT JUMP TO CONCLUSIONS

More prompt examples below 👇

[Robert Sterling @RobertMSterling]

QT this with your most controversial opinion. Mute notifications. Ignore replies.

[Nick @AIxxNick]

Other example:

{Insert Question or Debugging info} Only answer if you know the answer with certainty.