"Iโm considering whether I need to read the plan I wrote. I thought maybe I donโt need to"
-- GPT 5.5 in a reasoning trace
๐คฃ
even the AI doesn't want to read AI generated text!
#clankerfail
I assume you don't just approve the plan but refine it first? Using any tools to help with that? PlanBridge is open source and built specifically to make it easy to select text, add comments, and easily go from first draft of a plan to great one. Check it out: https://t.co/AlngUYZgVx
@InduTripat82427 Wouldn't it be nice if you could select text in the rendered markdown plan, add comments, and easily iterate on the spec? Here's an open source tool that does just that: https://t.co/vQljdhBaeD
@AntonMartyniuk Giving feedback to agents in "plan mode" sucks. You should recommend a tool like PlanBridge to help people not settle for the first plan Claude generates. https://t.co/vQljdhBaeD
@DivyanshT91162 Looks like it is still outputting plans in raw markdown? Could be good to use a tool like PlanBridge to give precision feedback to the agent on the markdown it creates? https://t.co/vQljdhBaeD
@cyrilXBT love me some "plan mode" and this open source tool makes it so much easier to give precision feedback and iterate on a plan. Try and and LMK what you think:
https://t.co/vQljdhBaeD
(disclaimer - I am one of the authors)
If you've ever settled for a less than ideal plan from a coding agent because iterating in a terminal sucks you should try PlanBridge: https://t.co/gOF5bJs96Q
@AnalyticsVidhya Nice. We have a GitHub app that keeps your agent context files updated automatically. Weโre looking for early feedback if youโre up for trying it: https://t.co/7uGoTfkFy5
ContextBot is free during our public beta. Install the GitHub App and get your first context-improvement PR in minutes.
ContextBot stops the context rot.
https://t.co/EBkUQOBP5Z
ContextBot does more than read PR comments. It learns from the code you merge every week. The diff itself carries signal about how your team writes code. That's where the implicit patterns live.