After the glimmer of hope on day 3 I was quite optimistic for the day 4 puzzle. I kept going with the phind-codellama model. I continued with keeping the model on a fairly tight leash and just being very specific as to what I wanted it to do. What’s the puzzle? So, for the first part, we had to parse a text file and then match up numbers and winning numbers.| beny23.github.io
After day 1 of Advent of Code was only partially successful, I thought I would change my approach. Yesterday I tried to get the LLM to develop the whole solution in one go. But that was more like argumentative programming rather than conversational programming, so for the day 2 puzzle I start with small problems and hope to put it all together at the end. Let’s get started The problem looked quite straightforward, parse something like the following| beny23.github.io
So it is that time of the year again. Advent of Code is back. Yey! This means I get to try to look at a new language again. This time, why not Kotlin? But as an extra challenge, I thought why not see how the vaunted LLMs would help. Is AI really the accelerator that would elevate a mere developer to a rockstar ninja (whatever that is)? I have to add that I am a bit of an AI sceptic and keep saying that| beny23.github.io
2 Posts, 384 Following, 320 Followers · Maker, breaker and fixer of software. Adventures in #appsec and #agile: beny23.github.io he/him| Infosec Exchange
