Harbor and OpenCode — consolidated training and pass@1
Updated: 2026-09-16T14:50:03.359104+00:00
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Qwen3.5-2B; 1,000 optimizer-step target per run. Recorded training: Harbor multi-harness: 1000 steps; Native OpenCode: 1000 steps; Harbor OpenCode-only: 199 steps. Every accepted checkpoint has 250 fixed tasks × four harnesses = 1,000 grades. Task difficulty: 33 easy, 118 medium, 99 hard (13.2% / 47.2% / 39.6%). Scores retain first graded attempts; incomplete and failed-audit evaluations are excluded. Missing scores are not estimated.
Baselines are separate measured cohorts: Harbor/E2B 14.6%; Harbor/Daytona 15.9% for the native OpenCode checkpoint evaluator. The standalone native OpenCode 8.4% baseline uses a different harness protocol and is excluded here. Infrastructure and training recipe histories differ; this is an observational comparison, not a controlled causal experiment.
Overall checkpoint curve
| Checkpoint |
Harbor multi-harness |
Native OpenCode |
Harbor OpenCode-only |
| 0 (baseline) |
14.6% |
15.9% |
14.6% |
| 100 |
24.8% |
19.7% |
Pending |
| 200 |
26.3% |
22.1% |
Pending |
| 300 |
28.6% |
21.6% |
Pending |
| 400 |
33.3% |
26.4% |
Pending |
| 500 |
37.0% |
23.1% |
Pending |
| 600 |
31.8% |
25.1% |
Pending |
| 684 (recovery) |
32.1% |
Not scheduled |
Not scheduled |
| 700 |
28.8% |
23.2% |
Pending |
| 800 |
27.0% |
25.6% |
Pending |
| 900 |
Pending |
25.3% |
Pending |
| 1000 |
Pending |
29.8% |
Pending |
Harbor multi-harness
Overall and difficulty
| Checkpoint |
Overall |
Easy (132 cells) |
Medium (472) |
Hard (396) |
| 0 |
14.6% |
40.2% |
14.4% |
6.3% |
| 100 |
24.8% |
53.0% |
30.5% |
8.6% |
| 200 |
26.3% |
58.3% |
30.1% |
11.1% |
| 300 |
28.6% |
64.4% |
32.8% |
11.6% |
| 400 |
33.3% |
73.5% |
39.6% |
12.4% |
| 500 |
37.0% |
72.7% |
44.3% |
16.4% |
| 600 |
31.8% |
72.7% |
37.3% |
11.6% |
| 684 |
32.1% |
75.8% |
35.8% |
13.1% |
| 700 |
28.8% |
60.6% |
33.9% |
12.1% |
| 800 |
27.0% |
59.1% |
32.6% |
9.6% |
Harness × difficulty at every checkpoint
| Checkpoint |
Harness |
Overall (250) |
Easy (33) |
Medium (118) |
Hard (99) |
| 0 |
opencode |
10.8% |
33.3% (11/33) |
8.5% (10/118) |
6.1% (6/99) |
| 0 |
claude-code |
16.8% |
42.4% (14/33) |
18.6% (22/118) |
6.1% (6/99) |
| 0 |
codex |
16.4% |
42.4% (14/33) |
16.9% (20/118) |
7.1% (7/99) |
| 0 |
mini-swe-agent |
14.4% |
42.4% (14/33) |
13.6% (16/118) |
6.1% (6/99) |
| 100 |
opencode |
24.4% |
51.5% (17/33) |
31.4% (37/118) |
7.1% (7/99) |
| 100 |
claude-code |
27.6% |
60.6% (20/33) |
32.2% (38/118) |
11.1% (11/99) |
| 100 |
codex |
28.0% |
57.6% (19/33) |
35.6% (42/118) |
9.1% (9/99) |
| 100 |
mini-swe-agent |
19.2% |
42.4% (14/33) |
22.9% (27/118) |
7.1% (7/99) |
| 200 |
opencode |
30.4% |
51.5% (17/33) |
34.7% (41/118) |
18.2% (18/99) |
| 200 |
claude-code |
30.0% |
63.6% (21/33) |
33.1% (39/118) |
15.2% (15/99) |
| 200 |
codex |
26.4% |
63.6% (21/33) |
29.7% (35/118) |
10.1% (10/99) |
| 200 |
mini-swe-agent |
18.4% |
54.5% (18/33) |
22.9% (27/118) |
1.0% (1/99) |
| 300 |
opencode |
29.6% |
60.6% (20/33) |
33.1% (39/118) |
15.2% (15/99) |
| 300 |
claude-code |
33.2% |
66.7% (22/33) |
39.0% (46/118) |
15.2% (15/99) |
| 300 |
codex |
29.6% |
69.7% (23/33) |
33.1% (39/118) |
12.1% (12/99) |
| 300 |
mini-swe-agent |
22.0% |
60.6% (20/33) |
26.3% (31/118) |
4.0% (4/99) |
| 400 |
opencode |
32.8% |
72.7% (24/33) |
38.1% (45/118) |
13.1% (13/99) |
| 400 |
claude-code |
36.8% |
75.8% (25/33) |
44.9% (53/118) |
14.1% (14/99) |
| 400 |
codex |
34.8% |
72.7% (24/33) |
42.4% (50/118) |
13.1% (13/99) |
| 400 |
mini-swe-agent |
28.8% |
72.7% (24/33) |
33.1% (39/118) |
9.1% (9/99) |
| 500 |
opencode |
32.8% |
69.7% (23/33) |
40.7% (48/118) |
11.1% (11/99) |
| 500 |
claude-code |
44.8% |
75.8% (25/33) |
52.5% (62/118) |
25.3% (25/99) |
| 500 |
codex |
39.2% |
75.8% (25/33) |
46.6% (55/118) |
18.2% (18/99) |
| 500 |
mini-swe-agent |
31.2% |
69.7% (23/33) |
37.3% (44/118) |
11.1% (11/99) |
| 600 |
opencode |
34.0% |
66.7% (22/33) |
41.5% (49/118) |
14.1% (14/99) |
| 600 |
claude-code |
30.0% |
72.7% (24/33) |
33.9% (40/118) |
11.1% (11/99) |
| 600 |
codex |
32.4% |
66.7% (22/33) |
39.8% (47/118) |
12.1% (12/99) |
| 600 |
mini-swe-agent |
30.8% |
84.8% (28/33) |
33.9% (40/118) |
9.1% (9/99) |
| 684 |
opencode |
29.2% |
72.7% (24/33) |
30.5% (36/118) |
13.1% (13/99) |
| 684 |
claude-code |
35.6% |
72.7% (24/33) |
41.5% (49/118) |
16.2% (16/99) |
| 684 |
codex |
33.2% |
84.8% (28/33) |
36.4% (43/118) |
12.1% (12/99) |
| 684 |
mini-swe-agent |
30.4% |
72.7% (24/33) |
34.7% (41/118) |
11.1% (11/99) |
| 700 |
opencode |
21.2% |
30.3% (10/33) |
28.0% (33/118) |
10.1% (10/99) |
| 700 |
claude-code |
31.6% |
78.8% (26/33) |
34.7% (41/118) |
12.1% (12/99) |
| 700 |
codex |
32.0% |
72.7% (24/33) |
34.7% (41/118) |
15.2% (15/99) |
| 700 |
mini-swe-agent |
30.4% |
60.6% (20/33) |
38.1% (45/118) |
11.1% (11/99) |
| 800 |
opencode |
23.2% |
36.4% (12/33) |
33.1% (39/118) |
7.1% (7/99) |
| 800 |
claude-code |
32.0% |
66.7% (22/33) |
37.3% (44/118) |
14.1% (14/99) |
| 800 |
codex |
26.8% |
66.7% (22/33) |
31.4% (37/118) |
8.1% (8/99) |
| 800 |
mini-swe-agent |
26.0% |
66.7% (22/33) |
28.8% (34/118) |
9.1% (9/99) |
Training history
| Allocation |
First optimizer step |
Last optimizer step |
| 78647 |
1 |
17 |
| 78681 |
18 |
25 |
| 78767 |
26 |
30 |
| 78831 |
31 |
53 |
| 78956 |
54 |
196 |
| 79083 |
197 |
684 |
| 80608 |
685 |
1000 |
Score provenance
- Step 0:
/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-baseline-20260914/job-78215/canonical_results.json; SHA256 8c4f5bced4eff04b0c2e5f41806da9ae1b8a4c0fe356ddf926e1f781c6bb9ac6.
- Step 100:
/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-long-bounded-20260915/checkpoint-evals/step-000100/scores.json; SHA256 1e4f42f54526c9b8b71156f5b1f3673529519201401bc88f88ccff805f291181.
- Step 200:
/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-long-prod-20260915/checkpoint-evals/step-000200/scores.json; SHA256 699dce549d1002e879c675555ac06142448b0cbeef534a0816616faf669862af.
- Step 300:
/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-long-prod-20260915/checkpoint-evals/step-000300/scores.json; SHA256 299e5ed3528922d9912a591f3cff0c4d85070fef4de732d37723967934bfd691.
- Step 400:
/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-long-prod-20260915/checkpoint-evals/step-000400/scores.json; SHA256 f8909af81669f4ec092317c5f9889ef8735754c0dcbc826da82a270d2d92dc7a.
- Step 500:
/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-long-prod-20260915/checkpoint-evals/step-000500/scores.json; SHA256 86d56b65edbdc2f5a3f5d54151d0888dae83ca2b81753a7a9dbc2e80ee4f6130.
- Step 600:
/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-long-prod-20260915/checkpoint-evals/step-000600/scores.json; SHA256 02fc5a5e84978c198dc880c143fe223507c30485563b3545cb64b2794e3e60b0.
- Step 684:
/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-long-prod-20260915/checkpoint-evals/step-000684/scores.json; SHA256 fb54bd52f352463e405bee8067ef24b27147bfd02d41429561f440a916f5d776.
- Step 700:
/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-long-prod-cont-20260915/checkpoint-evals/step-000700/scores.json; SHA256 39c2ead8681847c6c398eb6b22ae8919aabaff3ad6b668d81b5961564139f8be.
- Step 800:
/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-long-prod-cont-20260915/checkpoint-evals/step-000800/scores.json; SHA256 65130786707d07f68cfa145fcd5ad7308890cb89a305b65382dfbec36ef7a150.
Native OpenCode
Overall and difficulty
| Checkpoint |
Overall |
Easy (132 cells) |
Medium (472) |
Hard (396) |
| 0 |
15.9% |
37.9% |
18.0% |
6.1% |
| 100 |
19.7% |
44.7% |
22.5% |
8.1% |
| 200 |
22.1% |
59.8% |
24.6% |
6.6% |
| 300 |
21.6% |
51.5% |
25.6% |
6.8% |
| 400 |
26.4% |
59.1% |
29.4% |
11.9% |
| 500 |
23.1% |
53.0% |
27.3% |
8.1% |
| 600 |
25.1% |
56.1% |
28.8% |
10.4% |
| 700 |
23.2% |
49.2% |
28.8% |
7.8% |
| 800 |
25.6% |
52.3% |
29.7% |
11.9% |
| 900 |
25.3% |
50.0% |
30.3% |
11.1% |
| 1000 |
29.8% |
59.8% |
35.8% |
12.6% |
Harness × difficulty at every checkpoint
| Checkpoint |
Harness |
Overall (250) |
Easy (33) |
Medium (118) |
Hard (99) |
| 0 |
opencode |
12.8% |
24.2% (8/33) |
16.9% (20/118) |
4.0% (4/99) |
| 0 |
claude-code |
16.8% |
42.4% (14/33) |
18.6% (22/118) |
6.1% (6/99) |
| 0 |
codex |
15.2% |
33.3% (11/33) |
16.9% (20/118) |
7.1% (7/99) |
| 0 |
mini-swe-agent |
18.8% |
51.5% (17/33) |
19.5% (23/118) |
7.1% (7/99) |
| 100 |
opencode |
19.6% |
42.4% (14/33) |
24.6% (29/118) |
6.1% (6/99) |
| 100 |
claude-code |
20.4% |
42.4% (14/33) |
22.9% (27/118) |
10.1% (10/99) |
| 100 |
codex |
18.0% |
27.3% (9/33) |
21.2% (25/118) |
11.1% (11/99) |
| 100 |
mini-swe-agent |
20.8% |
66.7% (22/33) |
21.2% (25/118) |
5.1% (5/99) |
| 200 |
opencode |
17.2% |
48.5% (16/33) |
21.2% (25/118) |
2.0% (2/99) |
| 200 |
claude-code |
24.0% |
60.6% (20/33) |
26.3% (31/118) |
9.1% (9/99) |
| 200 |
codex |
25.6% |
63.6% (21/33) |
28.8% (34/118) |
9.1% (9/99) |
| 200 |
mini-swe-agent |
21.6% |
66.7% (22/33) |
22.0% (26/118) |
6.1% (6/99) |
| 300 |
opencode |
20.8% |
48.5% (16/33) |
28.0% (33/118) |
3.0% (3/99) |
| 300 |
claude-code |
29.2% |
66.7% (22/33) |
30.5% (36/118) |
15.2% (15/99) |
| 300 |
codex |
16.8% |
39.4% (13/33) |
20.3% (24/118) |
5.1% (5/99) |
| 300 |
mini-swe-agent |
19.6% |
51.5% (17/33) |
23.7% (28/118) |
4.0% (4/99) |
| 400 |
opencode |
20.4% |
48.5% (16/33) |
24.6% (29/118) |
6.1% (6/99) |
| 400 |
claude-code |
32.4% |
60.6% (20/33) |
35.6% (42/118) |
19.2% (19/99) |
| 400 |
codex |
25.6% |
57.6% (19/33) |
28.0% (33/118) |
12.1% (12/99) |
| 400 |
mini-swe-agent |
27.2% |
69.7% (23/33) |
29.7% (35/118) |
10.1% (10/99) |
| 500 |
opencode |
18.0% |
48.5% (16/33) |
19.5% (23/118) |
6.1% (6/99) |
| 500 |
claude-code |
26.4% |
51.5% (17/33) |
33.1% (39/118) |
10.1% (10/99) |
| 500 |
codex |
18.8% |
48.5% (16/33) |
22.0% (26/118) |
5.1% (5/99) |
| 500 |
mini-swe-agent |
29.2% |
63.6% (21/33) |
34.7% (41/118) |
11.1% (11/99) |
| 600 |
opencode |
16.8% |
42.4% (14/33) |
18.6% (22/118) |
6.1% (6/99) |
| 600 |
claude-code |
32.4% |
63.6% (21/33) |
37.3% (44/118) |
16.2% (16/99) |
| 600 |
codex |
18.4% |
45.5% (15/33) |
23.7% (28/118) |
3.0% (3/99) |
| 600 |
mini-swe-agent |
32.8% |
72.7% (24/33) |
35.6% (42/118) |
16.2% (16/99) |
| 700 |
opencode |
18.4% |
42.4% (14/33) |
23.7% (28/118) |
4.0% (4/99) |
| 700 |
claude-code |
29.6% |
63.6% (21/33) |
33.1% (39/118) |
14.1% (14/99) |
| 700 |
codex |
14.4% |
24.2% (8/33) |
22.9% (27/118) |
1.0% (1/99) |
| 700 |
mini-swe-agent |
30.4% |
66.7% (22/33) |
35.6% (42/118) |
12.1% (12/99) |
| 800 |
opencode |
20.0% |
36.4% (12/33) |
26.3% (31/118) |
7.1% (7/99) |
| 800 |
claude-code |
32.4% |
72.7% (24/33) |
35.6% (42/118) |
15.2% (15/99) |
| 800 |
codex |
18.0% |
30.3% (10/33) |
21.2% (25/118) |
10.1% (10/99) |
| 800 |
mini-swe-agent |
32.0% |
69.7% (23/33) |
35.6% (42/118) |
15.2% (15/99) |
| 900 |
opencode |
18.8% |
33.3% (11/33) |
23.7% (28/118) |
8.1% (8/99) |
| 900 |
claude-code |
34.0% |
60.6% (20/33) |
42.4% (50/118) |
15.2% (15/99) |
| 900 |
codex |
14.4% |
27.3% (9/33) |
17.8% (21/118) |
6.1% (6/99) |
| 900 |
mini-swe-agent |
34.0% |
78.8% (26/33) |
37.3% (44/118) |
15.2% (15/99) |
| 1000 |
opencode |
20.4% |
42.4% (14/33) |
25.4% (30/118) |
7.1% (7/99) |
| 1000 |
claude-code |
33.2% |
66.7% (22/33) |
37.3% (44/118) |
17.2% (17/99) |
| 1000 |
codex |
29.6% |
57.6% (19/33) |
35.6% (42/118) |
13.1% (13/99) |
| 1000 |
mini-swe-agent |
36.0% |
72.7% (24/33) |
44.9% (53/118) |
13.1% (13/99) |
Training history
| Allocation |
First optimizer step |
Last optimizer step |
| 80626 |
1 |
1000 |
Score provenance
- Step 0:
/fsx/adithyaskolavi/projects/trl_prod/experiments/daytona_harness_comparison/logs/20260915/blackbox/canonical_scores.json; SHA256 ece2b0e03c7c7e0e54988eaaa473ba6b53bd6028315b1e99ec39df5137c7632e.
- Step 100:
/fsx/adithyaskolavi/projects/trl_prod/experiments/daytona_harness_comparison/logs/hf-20260915/local-opencode-smoke-v4/repro/outputs/local-eval-opencode-80657/canonical_scores.json; SHA256 37eab8fe9e97fda23e9803846f965b08c3de2a6e4142363219a4467af41c6f5c.
- Step 200:
/fsx/adithyaskolavi/projects/trl_prod/experiments/daytona_harness_comparison/logs/hf-20260915/local-opencode-smoke-v4/repro/outputs/local-eval-opencode-80675/canonical_scores.json; SHA256 fa67547d19c7f4e63166fc7c1518ca15eb5e2c28ec8f1f3739445029006617ad.
- Step 300:
/fsx/adithyaskolavi/projects/trl_prod/experiments/daytona_harness_comparison/logs/hf-20260915/local-opencode-smoke-v4/repro/outputs/local-eval-opencode-80748/canonical_scores.json; SHA256 a0e0cc489e3195827d5ac035945277bfd9ca67e985a015148e5b3c94ca938b0f.
- Step 400:
/fsx/adithyaskolavi/projects/trl_prod/experiments/daytona_harness_comparison/logs/hf-20260915/local-opencode-smoke-v4/repro/outputs/local-eval-opencode-80807/canonical_scores.json; SHA256 f30bb541e207a2e8b83b2aabd05bf2e3d96eeac40c2fd8226ff1985606397a7b.
- Step 500:
/fsx/adithyaskolavi/projects/trl_prod/experiments/daytona_harness_comparison/logs/hf-20260915/local-opencode-smoke-v4/repro/outputs/local-eval-opencode-80861/canonical_scores.json; SHA256 b6df2570695c2a15ba43f185719b647dc22319eb82ca1494d56e705572e3f1a2.
- Step 600:
/fsx/adithyaskolavi/projects/trl_prod/experiments/daytona_harness_comparison/logs/hf-20260915/local-opencode-smoke-v4/repro/outputs/local-eval-opencode-80902/canonical_scores.json; SHA256 d86128c2cae4813a7ae8b99f06d1cd8ca109cefade9944c1cdbebf2b1550e1d9.
- Step 700:
/fsx/adithyaskolavi/projects/trl_prod/experiments/daytona_harness_comparison/logs/hf-20260915/local-opencode-smoke-v4/repro/outputs/local-eval-opencode-80956/canonical_scores.json; SHA256 7c60cfab333948e63bf44bd01ed4ce3f0a788f76de84c4ceda2177144e9bc9ba.
- Step 800:
/fsx/adithyaskolavi/projects/trl_prod/experiments/daytona_harness_comparison/logs/hf-20260915/local-opencode-smoke-v4/repro/outputs/local-eval-opencode-80993/canonical_scores.json; SHA256 b689c9dd76c3e2230bfea49eea393f2d5842fe8f3630f04f59380a131497ae98.
- Step 900:
/fsx/adithyaskolavi/projects/trl_prod/experiments/daytona_harness_comparison/logs/hf-20260915/local-opencode-smoke-v4/repro/outputs/local-eval-opencode-81034/canonical_scores.json; SHA256 996f5ea262419b9639fa8f33c1b33fef9b49959c1cbe61e62ba922c0d642985f.
- Step 1000:
/fsx/adithyaskolavi/projects/trl_prod/experiments/daytona_harness_comparison/logs/hf-20260915/local-opencode-smoke-v4/repro/outputs/local-eval-opencode-81098/canonical_scores.json; SHA256 1355a9a2ecc1ec165cf413120dacfc672e5d8d59ef2807b28bcf02322dca142b.
Harbor OpenCode-only
Overall and difficulty
| Checkpoint |
Overall |
Easy (132 cells) |
Medium (472) |
Hard (396) |
| 0 |
14.6% |
40.2% |
14.4% |
6.3% |
Harness × difficulty at every checkpoint
| Checkpoint |
Harness |
Overall (250) |
Easy (33) |
Medium (118) |
Hard (99) |
| 0 |
opencode |
10.8% |
33.3% (11/33) |
8.5% (10/118) |
6.1% (6/99) |
| 0 |
claude-code |
16.8% |
42.4% (14/33) |
18.6% (22/118) |
6.1% (6/99) |
| 0 |
codex |
16.4% |
42.4% (14/33) |
16.9% (20/118) |
7.1% (7/99) |
| 0 |
mini-swe-agent |
14.4% |
42.4% (14/33) |
13.6% (16/118) |
6.1% (6/99) |
Training history
| Allocation |
First optimizer step |
Last optimizer step |
| 81075 |
1 |
199 |
Score provenance
- Step 0:
/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-baseline-20260914/job-78215/canonical_results.json; SHA256 8c4f5bced4eff04b0c2e5f41806da9ae1b8a4c0fe356ddf926e1f781c6bb9ac6.
Dashboard metric guide
Both runs use identical metric names and optimizer-step axes. eval/pass_at_1 is the overall score; eval/difficulty/* aggregates each difficulty; eval/harness/* compares each harness; eval/harness_difficulty/* contains all twelve intersections. train/* preserves recorded loss, reward, learning rate, gradient norm, entropy, KL, staleness, throughput, token, batching and rollout metrics where observed. Missing metrics are not filled with zeros. train/reward_rolling20 and train/nonzero_gradient_rolling20 are explicitly derived trailing windows. Raw metrics remain available. Use zero dashboard smoothing for exact checkpoint values.
The independent CPU publisher refreshes every 60 seconds and admits new evaluations only after their full comparison gates pass. It never changes trainer state. Local SQLite backup, event ledger and remote exact-content verification receipts are kept alongside this report.
Storage and deployment follow the Trackio guide and environment configuration.
Download checkpoint scores as CSV
