Step 3.5 flash 2603
A lower-table result with a few useful bright spots: 37/151 tasks solved at least once, 13/151 solved in all three attempts, with the clearest wins around large Python/Django application repairs plus automation and configuration-management work. 这是一个排名靠后但仍有局部亮点的结果：151 题中至少一次解出 37 题，三次都解出 13 题；强项主要落在大型 Python/Django 应用修复以及自动化和配置管理类改动。
How to read this result可以这样读
- Step 3.5 flash 2603 is best read as wide but retry-sensitive: rank #26, 37 reached tasks, 13 stable solves.Step 3.5 flash 2603 更适合读成覆盖不窄但依赖重试：排名 #26，触达 37 题，稳定解出 13 题。
- Best suite signal: Ansible · release 003 at 3/10 (30.0%).最强 suite 信号：Ansible 自动化 · release 003，3/10（30.0%）。
- Weakest visible area: Ansible · release 002 at 0/10 (0.0%).最弱可见区域：Ansible 自动化 · release 002，0/10（0.0%）。
- Because the agent shell is OpenCode, the result mostly exposes the underlying model's planning habits rather than a heavily opinionated workflow.因为 agent shell 是 OpenCode，这个结果更直接暴露底层模型的规划习惯，而不是强工作流包装后的表现。
Step 3.5 flash 2603 is broad but volatile. It can touch 37/151 tasks, yet only 13 become 3/3 solves, so much of its value comes from retrying the same benchmark surface.
The closest family reference is Step 3.7 flash at rank #18. Compared with that row, this one is 3.79 points behind, with 6 fewer reached tasks and 5 fewer stable solves.
The result is easiest to understand as a three-point shape: volume at Ansible · release 003 at 3/10 (30.0%), efficiency at Open Library · release 016 at 2/5 (40.0%), and resistance at Ansible · release 002 at 0/10 (0.0%). Because the agent shell is OpenCode, the result mostly exposes the underlying model’s planning habits rather than a heavily opinionated workflow.
The bars say this row has search reach, not settled mastery. The model gets into the right repos often enough, but the repeatability line is still thin.
The useful contrast is between Scan results miss Package URL (PURL) information in library output (future-architect/vuls · solved 3/3) and Consolidate ListMixin into List to Simplify List Model Structure and Maintenance (internetarchive/openlibrary · solved 2/3). The model reaches both kinds of problems, but only one becomes dependable.
The audit changes how to read Step 3.5 flash 2603: only 37% of initial solved attempts survive, with 46 rejected attempts, while the exported score field stays flat. Treat the wins as leads that need stricter confirmation.
The available audit keeps 27 of 73 initial solved attempts. Read this as a robustness check, especially when the audit sample is smaller than 453 attempts.当前可用复核保留了 73 次初始成功中的 27 次。这更适合作为稳健性检查，特别是在复核样本小于 453 次尝试时。
Use it when breadth matters more than deterministic replay. It can find openings around Ansible · release 003 at 3/10 (30.0%), but the 24-task reach gap says a second or third run may tell a different story. The 73/453 attempt score is best read as exploration bandwidth: 37 tasks are reachable, but many need retry luck.
Supporting suite table
| Suite | Repo | Solved | Pass^3 | Rate |
|---|---|---|---|---|
release-zh-016-internetarchive-openlibrary |
internetarchive/openlibrary | 2/5 | 0 | 40.0% |
release-zh-004-ansible-ansible |
ansible/ansible | 1/3 | 0 | 33.3% |
release-zh-003-ansible-ansible |
ansible/ansible | 3/10 | 1 | 30.0% |
release-zh-010-future-architect-vuls |
future-architect/vuls | 2/10 | 1 | 20.0% |
release-zh-014-internetarchive-openlibrary |
internetarchive/openlibrary | 2/10 | 0 | 20.0% |
release-zh-001-ansible-ansible |
ansible/ansible | 1/10 | 1 | 10.0% |
release-zh-002-ansible-ansible |
ansible/ansible | 0/10 | 0 | 0.0% |
release-zh-005-flipt-io-flipt |
flipt-io/flipt | 0/10 | 0 | 0.0% |
release-zh-007-flipt-io-flipt |
flipt-io/flipt | 0/10 | 0 | 0.0% |
release-zh-008-flipt-io-flipt |
flipt-io/flipt | 0/10 | 0 | 0.0% |
Step 3.5 flash 2603 的特点是覆盖不窄但波动较大。它能至少一次摸到 37/151 题，但只有 13 题能做到 3/3，因此很大一部分价值来自重试。
最接近的同系参照是排名 #18 的 Step 3.7 flash。和它相比，这一行最终分低 3.79 分，触达题少 6 个，稳定题少 5 个。
这个结果最容易读成三点形状：数量在Ansible 自动化 · release 003，3/10（30.0%），效率在Open Library · release 016，2/5（40.0%），阻力在Ansible 自动化 · release 002，0/10（0.0%）。因为 agent shell 是 OpenCode，这个结果更直接暴露底层模型的规划习惯，而不是强工作流包装后的表现。
这些柱子说明这一行有搜索触达，不等于已经掌握。模型经常能进入正确代码库，但可重复通过的线仍然偏细。
最有用的对比是 Library 输出中的扫描结果缺少 Package URL (PURL) 信息（future-architect/vuls · 3 次中成功 3 次）和 将 ListMixin 合并到 List 以简化 List 模型结构维护（internetarchive/openlibrary · 3 次中成功 2 次）：模型都能触达，但只有前者变成可靠结果。
复核改变了 Step 3.5 flash 2603 的读法：初始成功只有 37% 保留下来，46 次被剔除，但当前导出的分数字段没有变化。原始胜利更适合作为线索，需要更严格确认。
The available audit keeps 27 of 73 initial solved attempts. Read this as a robustness check, especially when the audit sample is smaller than 453 attempts.当前可用复核保留了 73 次初始成功中的 27 次。这更适合作为稳健性检查，特别是在复核样本小于 453 次尝试时。
当你更看重覆盖面而不是确定复现时，它更合适。它能在Ansible 自动化 · release 003，3/10（30.0%）附近找到入口，但 24 题的覆盖-稳定差说明第二、第三次运行可能给出不同结果。73/453 的单次尝试成功数更像探索带宽：37 道题能触达，但很多仍需要重试运气。
支撑这个判断的 suite 表
| Suite | Repo | 解出 | Pass^3 | 通过率 |
|---|---|---|---|---|
release-zh-016-internetarchive-openlibrary |
internetarchive/openlibrary | 2/5 | 0 | 40.0% |
release-zh-004-ansible-ansible |
ansible/ansible | 1/3 | 0 | 33.3% |
release-zh-003-ansible-ansible |
ansible/ansible | 3/10 | 1 | 30.0% |
release-zh-010-future-architect-vuls |
future-architect/vuls | 2/10 | 1 | 20.0% |
release-zh-014-internetarchive-openlibrary |
internetarchive/openlibrary | 2/10 | 0 | 20.0% |
release-zh-001-ansible-ansible |
ansible/ansible | 1/10 | 1 | 10.0% |
release-zh-002-ansible-ansible |
ansible/ansible | 0/10 | 0 | 0.0% |
release-zh-005-flipt-io-flipt |
flipt-io/flipt | 0/10 | 0 | 0.0% |
release-zh-007-flipt-io-flipt |
flipt-io/flipt | 0/10 | 0 | 0.0% |
release-zh-008-flipt-io-flipt |
flipt-io/flipt | 0/10 | 0 | 0.0% |