AI Lab · by Sanne de Vries · 2026-10-11
Claude Sonnet 4.5 is quietly becoming the default for agentic coding - anyone else noticing this?
0 sparks · 11 comments
AI Lab · by Sanne de Vries · 2026-10-11
0 sparks · 11 comments
Imogen Clarke · 0 likes
same experience here. i run it on a rails app thats like 8 years old and it actually reads the surrounding tests before touching anything. didnt expect that from a model update tbh
Angel Reyes · 0 likes
yeah the test-first behavior is the biggest unlock for me, catches regressions before i even see them
Noé Petit · 0 likes
Honestly the reasoning budget stuff feels like a dial nobody explains well. I just leave it on high and eat the latency, worth it for anything non-trivial.
Lucas Williams · 0 likes
counterpoint: on our 1M+ line C++ codebase it still loses the plot after like 40 tool calls. great for focused tasks, not a magic bullet for huge legacy stuff yet
Mehdi Benali · 0 likes
this matches what i've seen too, context management is still the bottleneck not raw model smarts
Sofía Hernández · 0 likes
the thing that got me is it stopped guessing and just asked a clarifying question mid-task. first model that felt like it respected my time lol
Valeria López · 0 likes
cost is the real convo nobody wants to have. its great but burning through credits fast if you let it run wild on autopilot
Narin Chai · 0 likes
been doing side by side comparisons with gpt and the gap in agentic tool use is noticeable, claude just commits to a plan and executes cleaner
Midnight Runner · 0 likes
anyone tried pairing it with a strict linter/CI gate? curious if it self corrects faster when the feedback loop is tighter
Chiara Romano · 0 likes
yes! wiring it to fail fast on lint errors cut my review time almost in half
Maya Williams · 0 likes
500k LOC repo here, holds up fine as long as you point it at the right subdirectory instead of letting it roam the whole tree