AI engineering interviews need a rethink.
We look for experimental mindset and hands-on building experience over memorized best practices.
The field changes too fast for textbook answers.
blog.promptlayer.com/the-agentic-sy…
Too much context breaks the model’s ability to choose.
The decision boundary softens. Outputs get slower, less useful, and more verbose.
Clean prompts work better. Not because they’re short, but because they reduce noise.
blog.promptlayer.com/why-llms-get-d…
Prompting is only one layer. The structure around it matters more.
System messages, retrieval, metadata, memory, compression all of it shapes output.
This is "context engineering" and it's where most real-world LLM products win or fail.
blog.promptlayer.com/what-is-contex…
The shift from deterministic to assumption-based systems requires new technical architecture, and PromptLayer provides the infrastructure.
Traditional systems need every parameter specified upfront. Modern AI systems use probabilistic defaults, contextual inference, and…
🛠️ Tool of the Day: @promptlayer
What it does:
→ Tracks every GPT request + response
→ Lets you debug / compare / improve
→ Works with OpenAI + Claude + Groq etc.
Why it matters:
You can’t improve what you don’t track
Bonus:
→ Auto-tags outputs that underperform
→…
The biggest mistake AI products make: Don't boil the ocean!
Start simple. Get your AI product out in the wild. Start collecting data for evals.
Most importantly: prove to your company the AI product should be invested in.
"Context Engineering" is really growing on me
most prompt issues are actually context issues.
what you retrieve, keep, and drop shapes model behavior in production.
it's not about clever instructions. It's about designing the environment around the model.
wrote an article on…
"Context Engineering" is really growing on me
most prompt issues are actually context issues.
what you retrieve, keep, and drop shapes model behavior in production.
it's not about clever instructions. It's about designing the environment around the model.
wrote an article on… https://t.co/xbTi2yUTpV
Huge congrats to the @humanloop team. They were one of the first in the evals space and a team I heavily respect.
The platform is shutting down in September and we've received a lot of messages to move prompts & evals over to PromptLayer.
Rolling out an official migration…
Great report by the team at @trychroma@kellyhongsn
These are my practical take-aways for prompt engineers (CONTEXT engineers):
Your 100k token prompt is making your model dumber. even on tasks as simple as "repeat this string" too many tokens seriously degrade performance (we…
Great report by the team at @trychroma@kellyhongsn
These are my practical take-aways for prompt engineers (CONTEXT engineers):
Your 100k token prompt is making your model dumber. even on tasks as simple as "repeat this string" too many tokens seriously degrade performance (we…
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