Aleksandr Nogikh
nogikh@google.com
90d · built 2026-05-28
90-day totals
- Commits
- 311
- Grow
- 12.2
- Maintenance
- 10.3
- Fixes
- 3.9
- Total ETV
- 26.5
Where this dev ranks
Percentile against the global top-100 leaderboard (all-time totals).
- By commits
- Top 22 %
- By Growth share
- Top 34 %
30-day trajectory
Last 30 days vs. the 30 days before. Up arrows on Growth and ETV mean improvement; up arrow on Fixes share means more time on fixes (worse).
Daily performance
Daily ETV, stacked by Growth, Maintenance and Fixes.
Work-mix over time
Share of Growth / Maintenance / Fixes over a rolling 7-day window. Reads as 'where is effort flowing right now'.
Bug flow over time
Monthly bug flow attributed to this developer. The left bar (red) is bug impact this dev authored that was addressed in the given month — combining bugs others fixed for them and bugs they fixed themselves. The right bar is fixes they personally shipped that month, split between self-fixes (overlap with the red bar) and fixes done for someone else. X-axis is fix-time, not introduction-time — the Navigara API attributes bugs backward to the author at the moment the fix lands.
- Self-fix share
- 54%
- Bugs you introduced
- 6.7
- Bugs you fixed
- 9.5
Repository spread
Where this developer's commits land. Concentrated work (top1 > 80%) vs polymath spread (top1 < 30%).
Most impactful commits
Top 20 by ETV in the 90-day window.
- 0.9ETVdashboard/app: react to user comments under AI patches Implement all basic fucntionality of running iteration workflow on new comments and submitting new versions of patches / comment replies. Once in a while, the system will now schedule a patch iteration workflow to react to new user comments. Depending on the result, it will either submit a new version of the series or send an aggregated reply email. New comments on previous versions are for now ignored.github.com-google-syzkaller · c40ea1fc · 2026-04-23
- 0.7ETVdashboard/app: introduce AI job reporting API The API will let us implement external AI job reporters. Several configurable stages are supported.github.com-google-syzkaller · 78c10781 · 2026-04-03
- 0.6ETVpkg/lore-relay: initial implementation The component represents a lore integration of AI job result reporting. It polls dashapi and the lore archive at the same time. Add various integration tests.github.com-google-syzkaller · af1e6f5c · 2026-04-07
- 0.5ETVsyz-cluster: accept syz test commands Parse syz test commands from the replies under the reported series, schedule their processing and report the results back.github.com-google-syzkaller · 359452bd · 2026-03-06
- 0.4ETVdashboard/app: journal all AI commands Unify web interface and dashapi AI commands journaling. For commands submitted via dashapi, use Journal to ensure idempotency - if we have already processed a command with the same ExtID, do not actually do it.github.com-google-syzkaller · aec0c73b · 2026-04-03
- 0.4ETVall: partially enable gocritic Enable diagnostic and some stylistic checkers. Fix the resulting findings.github.com-google-syzkaller · cdcf5354 · 2026-05-15
- 0.3ETVpkg/aflow: implement token-based context compression Introduce CompressTokens to dynamically truncate agent context histories based on token count rather than message count. Unlike the existing SummaryWindow (which relies on a fixed number of messages), CompressTokens handles the massive variance in message sizes (e.g., small tool replies vs. massive source code searches) predictably. When the threshold is exceeded, the agent uses a cheaper model (GoodBalancedModel) to summarize the history, truncating it down to just the anchor prompt and the new summary. Also add a `patching-compressed` workflow registration (with a 250k token threshold) to allow experimenting with this mechanism.github.com-google-syzkaller · 29233ece · 2026-05-07
- 0.3ETVpkg/aflow: support reviewer tags in patch iterations When reviewers reply to AI-generated patches with tags (e.g., Reviewed-by, Acked-by), these tags are often lost in subsequent patch versions because the LLM handles them inconsistently. Introduce a new tag-extractor LLM agent to explicitly parse supported tags from review comments. These tags are then validated, persisted in the database job arguments, and correctly formatted into the patch trailer during generation. The verdict agent is also explicitly instructed not to generate a new patch version solely for tag updates.github.com-google-syzkaller · 55156e84 · 2026-05-12
- 0.3ETVsyz-cluster: introduce jobs Define a new Job type for future user-requested jobs. Add a basic API for submitting them.github.com-google-syzkaller · 893c8f4d · 2026-03-05
- 0.3ETVpkg/email/lore: add a generic poller implementation The implementation will be used for polling replies under the syzbot LKML archive. Instead of relying on persistent storage for root message id tracking, use an in-memory graph of the messages. That is simple and will work for a very long time. Also, avoid storing "last processed" cursors - instead, take all last day's messages on start. If the processing API is idempotent, that is also a simple and reliable solution.github.com-google-syzkaller · ad0ed6c0 · 2026-04-06
- 0.3ETVdashboard/app: specify namespaces for AI clients Make it possible to restrict AI agents to specific namespaces. Since we want syz-agents to serve several namespaces at once, it's very inconvenient to switch back to nsHandler - it would mean a unique AI client name for each served namespace. As a straightforward solution, let's add an explicit list of namespaces for which AI jobs are to be served. Add a test to verify the new behavior.github.com-google-syzkaller · 24ecfc1e · 2026-03-31
- 0.3ETVsyz-cluster: integrate with lore.Poller Use the newly created pkg/email/lore.Poller when receiving user commands in syz-cluster.github.com-google-syzkaller · 32ae90f6 · 2026-04-06
- 0.3ETVpkg/email/sender: new package for email sending logic Move the code from syz-cluster/pkg/emailclient so that it can be reused more easily.github.com-google-syzkaller · 41b7aa58 · 2026-04-07
- 0.3ETVdashboard/app: reimplement the auto AI job creation Change the logic to: a) Only create the jobs actually requested by the agent. b) Better handle concurrent job poll requests. The existing code always automatically creates all AI jobs for a processed bug, even if the polling agent does not enable some of the workflow types. To both keep on doing per-bug analysis only once per day and to lazily create the actually necessary jobs, split the process into several steps: 1) Calculate the workflow types we could have created for the job. 2) In a transaction, update bug's workflows, excluding the workflow type we are about to create. If we are the first to update the bug, proceed. 3) Spawn the job if the possible workflow types intersect with the ones from the request. The objective is to avoid creating duplicate and unnecessary jobs. If we fail at step 3, the daily recalculation of the pending jobs will the lost workflow type back.github.com-google-syzkaller · 0771545b · 2026-03-11
- 0.3ETVall: introduce #syz unreject command Allow users to undo a patch rejection by sending a `#syz unreject` command. This clears the rejected state, allowing the patch to be upstreamed subsequently. Add parsing in pkg/email and relay logic in pkg/lore-relay.github.com-google-syzkaller · 4a960b43 · 2026-05-20
- 0.3ETVsyz-cluster: display jobs on the dashboard Display (but collapse) the job sessions on the /series/XXX page. Introduce a /session/YYY page, where only the specified session is displayed. Share the /session/YYY links in the job result emails.github.com-google-syzkaller · 9885af8d · 2026-03-13
- 0.3ETVdashboard/app: improve manual repro request handling Add an API call to let syz-managers inform dashboard that the request has been processed. This allows to change the dashboard-side logic to stop retrying on success. Also, let's record the reproduction log.github.com-google-syzkaller · f9ef2ec1 · 2026-03-27
- 0.2ETVdashboard/app: collect comments under AI patches We'll use these later to regenerate the new patch versions.github.com-google-syzkaller · e6e503f1 · 2026-04-08
- 0.2ETVdashboard/app: set Signed-off-by for AI patches Track the name and email of the user who invokes the `#syz upstream` command on an AI-generated patch. Save this information in the new `UpstreamedBy` column of the `JobReporting` table. Pass this information to `lore-relay` so that it can be formatted into a standard `Signed-off-by:` tag in the generated patch email. When a patch is iterated on (e.g. producing a v2 patch), ensure the `UpstreamedBy` field is inherited from the parent reporting so the tag is preserved across iterations.github.com-google-syzkaller · 9cd3beaa · 2026-05-12
- 0.2ETVdashboard/app: prohibit rejecting an already rejected patch If a patch is already rejected, reacting to another #syz reject command is redundant and can cause unnecessary emails. Prohibit this state transition inside RejectReportCommand and record the failure in the journal to prevent further processing.github.com-google-syzkaller · c7e903e7 · 2026-05-20