317+ test edilmiş prompt şablonu; yazıdan koda, görsel üretiminden kariyere kadar. Değişkenleri ({böyle}) kendinize göre doldurup doğrudan kullanın.
Someone built a browser game where you play the human-in-the-loop for a coding agent: commands scroll past, you approve or deny under time pressure. About a third are attacks. After 40k+ sessions the average player had missed a third of the threats. And these were engaged players who knew they were being tested, with nothing else competing for attention. Your real setup has non
Hot take: For long AI workflows, context management matters more than prompt engineering. A perfect prompt can't save a conversation that's 80% irrelevant context. I've started treating long AI sessions like this: Persistent project brief Decision logs Context checkpoints Compression summaries Reusable templates The quality difference after 50+ messages is huge. Does anyone els
I'm starting to believe that keeping production prompts in the codebase is one of those decisions that feels harmles until you have to explain a quality drop. At the moment, we’ve got prompts scattered all over the place. Some are in config files, some live in helper functions and a few are buried who knows where. Then someone tweaks the prompt, someone else changes the model a
Whenever I start a project, I write a detailed specification—or “seed prompt”—before asking a coding agent to build anything. This often gets me close to a working first version, but I still miss decisions that exist only in my head. The agent then has to guess. I built specfill to catch those gaps. It analyzes the specification, researches the topic, and interviews you one que
When we started building with AI choosing a model felt like a one time decision cause we'd evaluate a few options then pick the one that fit the use case and move on. That hasn't really been the case anymore cause every new model release sparks another round of testing + every team has slightly different priorities and before long we're maintaining integrations with providers w
Single prompts have a flaw when you use them for decisions: whatever you ask for, you get. Ask for a critique and you get a critique, ask for a plan and you get a confident plan. What you never get from one prompt is a real argument, because the model cannot be for and against something in the same breath. So for anything that matters I run this as five separate messages in one
Post-meeting I need two different things from the same transcript: a recap people can skim, and a few slides for whoever wasn't there. Doing both in one pass used to give me mush. Splitting the ask fixed it. ``` Below is a raw meeting transcript. Produce two things, clearly separated. PART A - Recap (for people who were there): - Decisions made (just the decisions, not the deba
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