What happened when the agent accepted the first action block
Two runs per configuration on the same 25 development tasks showed fewer rejected steps and similar repair counts.
Read note : What happened when the agent accepted the first action blockYousuf Golding
Work notes
Accounts of what I am building, the decisions along the way, and what the results show.
Current focus
The latest experiment changed how the agent handles replies containing several shell commands in separate blocks. Fewer steps were lost on the development tasks. The next step is connecting GEPA to the agent to test whether changes to its prompts help it solve more tasks.
MP1 · Baseline agent
Baseline evaluation complete
All 500 SWE-bench Verified tasks accounted for: 344 resolved, 154 unresolved, one empty patch and one evaluation timeout.
View MP1 →MP2 · Improvements & GEPA
Development comparison complete
The parser change reduced lost steps in the development runs. The configuration is frozen, and work has begun on the GEPA adapter.
View MP2 →Recent work notes
Dated entries about individual work sessions.
Checking the shard pipeline and stopping repeated scoring
A controlled two-shard pipeline check exposed repeated timeout evaluations and ambiguous run IDs, leading to scoring and record-keeping fixes.
Read note : Checking the shard pipeline and stopping repeated scoringSplitting benchmark work and checking merged scores
Implementing environment-aware task splits and score-merging checks before trying concurrent benchmark runs.
Read note : Splitting benchmark work and checking merged scoresCompleting the 500-task baseline
Accounting for all 500 SWE-bench Verified tasks, recovering a long run, and identifying a scoring-timeout issue before the next comparisons.
Read note : Completing the 500-task baselineFirst batch results and an exit-rule experiment
Six batches on 25 development tasks, a patch-capture correction, and an exit-rule experiment that did not demonstrate improved resolution.
Read note : First batch results and an exit-rule experimentPreparing batch runs and distinguishing failures
Validating task lists, keeping a batch moving after a recorded crash, and preserving failure labels before the first baseline batch.
Read note : Preparing batch runs and distinguishing failuresKeeping the record when an agent run fails
Preserving failed attempts and partial trajectories, then preparing the next step toward batch execution.
Read note : Keeping the record when an agent run failsScoring the first saved agent patch
Adding a separate evaluation command, preserving distinct failure states, and getting the first resolved result from the SWE-bench harness.
Read note : Scoring the first saved agent patchFinding premature exits in the saved agent traces
Recording individual model messages, guarding against an exit before execution, and checking what a single-task result actually establishes.
Read note : Finding premature exits in the saved agent tracesKeeping the patch and the record of a run
Capturing changes before container cleanup, saving trajectories, and finding a failure in the final summary.
Read note : Keeping the patch and the record of a runMoving run settings into one configuration
Loading configuration once, keeping prompt values consistent with execution, and separating build history from current code.
Read note : Moving run settings into one configurationBuilding the execution environment for my minimal agent
Separating command execution from the agent loop, working through timeouts and cleanup, and checking the single-task runner.
Read note : Building the execution environment for my minimal agent