Coding workflow that makes GPT-6 Astra the decision layer while other tools do the work
The post argues Astra should only handle planning, code decisions and final review, while Serena maps the repo, Context7 pulls docs, Browser Use fills external context, E2B runs sandboxes, pytest gates patches and Langfuse keeps traces.
holy sh*t, GPT 6 Astra is getting f...cking treasure stop wasting the best model in the stack on work another layer can handle put Astra in charge of decisions let everything else do the mechanical work Serena maps the repo before Astra plans anything Context7 pulls the exact docs before Astra touches an API Browser Use handles the web when the answer is outside the codebase E2B runs the code in a clean sandbox pytest decides if the patch actually survives Langfuse keeps the trace when something goes wrong Astra thinks the stack executes and the model only wakes up when the path actually needs reasoning → before a multi file change, Astra decides what should move and what should stay untouched → after a failed run, Astra gets the error and chooses whether to change the code, the environment, or the plan → before the PR, Astra checks the final diff instead of blindly trusting a green test the full setup > GPT 6 Astra handles planning, code decisions and final review > Serena handles symbols, references and repo structure > Context7 handles current docs and library examples > Browser Use handles missing external context > E2B handles execution and dependency installs > pytest handles the hard pass or fail gate > Langfuse keeps every model call and tool action visible the loop becomes issue → map repo → load docs → plan → edit → run → test → inspect failure → fix → review diff → PR paste this into your coding agent "Build this repository workflow around GPT 6 Astra Use Serena before planning any code change so the model sees the relevant symbols, references and affected files Use Context7 before touching external libraries or APIs Use Browser Use only when required information is outside the repository or documentation context Run all code, installs and commands inside E2B Use pytest as the final verification gate Send failed execution output back to GPT 6 Astra for replanning Trace the entire run with Langfuse GPT 6 Astra should handle reasoning, architecture decisions, difficult debugging and final diff review Do not spend model calls on mechanical file lookup, documentation retrieval, command execution or test running Follow this order every time inspect → research → plan → edit → execute → test → repair → review → PR"
This post quotes another post: x.com/lummox_eth/status/2100288151897981255