Branch prediction and speculation

SkillDev tools

Use when explaining branch predictors, mispredict penalties, speculative execution, Spectre or Meltdown mitigations, or branchless code. Not for pipeline stage theory: use cpu-pipelines-and-hazards.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Branch prediction and speculation skill

What this skill tells your AI

The instructions your AI receives, as published by outlinedriven/outline-driven-development in .devin/skills/branch-prediction-and-speculation/SKILL.md and read by ahel’s review.

Contract

FieldBound contract
TriggerBranchy hot code underperforms, a likely or branchless refactor needs judgment, a kernel mitigation such as retpoline or KPTI needs explaining, or code branches on secret data.
AuthorityRead-only. The skill runs perf stat on a user-named binary, reads sysfs, and answers in chat. Nothing on disk changes, so there is nothing to roll back. No remote mutation.
Side effectChat output only. perf stat writes counters to stdout.
DoneThe answer names the branch that mispredicts or the speculation path that leaks, gives a measured branch-misses count where a binary exists, and states the fix with the condition under which it helps.

Inputs

  • Code or hot loop (required): the source or disassembly around the branch in question.
  • Binary and workload (optional): needed for a measured verdict. Without them the answer is a hypothesis.
  • Threat model (optional): whether the question is performance only or also side-channel safety.

Procedure

  1. Explain the mechanism in one pass. The front end predicts a direction for each conditional branch, executes the predicted path, and on resolve either commits or squashes the wrong-path work and refetches from the correct address. The squash cost grows with the distance from fetch to resolve, so a deeper pipeline pays more per mispredict. Backward branches are usually loop closers and predict taken; a data-dependent forward branch with no pattern is the hard case. Done when: the user can say why a given branch is predictable or not.
  2. Measure before changing code. Done when: a branch-misses count and its ratio to branches for the real workload is recorded, or no binary exists and the answer is marked as unmeasured.
perf stat -e branches,branch-misses ./app

Read the ratio against the workload, not against a fixed number: a tight loop over sorted data should show a ratio near zero, while a parser over random input can sit far higher and still be at its floor. Only a ratio that drops after a change proves the change.

  1. Pick the remedy for a mispredicting branch. Done when: one remedy is chosen and the condition under which it wins is stated.
    • Sort or partition the data so the branch becomes a run of one direction.
    • Replace the branch with a select. int m = a < b ? a : b; may lower to cmov. The select executes both operands every time, so it wins only when the branch mispredicts often; on a predictable branch it loses.
    • Split hot and cold paths so the rare path leaves the hot cache line.
    • Peel the loop exit or handle the tail without a branch when the exit mispredicts.
  2. Apply compiler hints last. __builtin_expect(!!(x), 1) and __builtin_expect(!!(x), 0) steer code layout, not the dynamic predictor. On a current out-of-order core the predictor already learns most static patterns, so the hint helps layout of the cold path and little else. Measure after adding one. Done when: the hint is kept only with a measured win.
  3. Cover the security side when the branch touches secrets. Speculation past a bounds check can load secret-dependent memory and leave its address in cache state (Spectre variant 1). Meltdown let a user load read a kernel mapping before the fault retired; KPTI separates the page tables. Done when: the applicable mitigation layer is named.
    • Kernel: read the state from /sys/devices/system/cpu/vulnerabilities/ (one file per issue, such as spectre_v1, spectre_v2, meltdown, l1tf). Retpoline, IBRS, IBPB, and STIBP appear in the spectre_v2 text. A host booted with mitigations=off reports Vulnerable here.
    • Compiler: Clang's -mspeculative-load-hardening masks pointers on the speculative path.
    • Code: constant-time algorithms with no secret-dependent branch or index. This is the only layer that protects a secret from a same-process timing channel.

For the pipeline model behind the penalty, use cpu-pipelines-and-hazards. For cache timing channels, use cpu-cache-opt. For the kernel mitigation set (KPTI, CET), use kernel-security.

Failure and recovery

Failure classBehavior
No binary or workloadDeliver the mechanism and the candidate fixes as hypotheses. Mark the answer unmeasured.
perf stat deniedReport the perf_event_paranoid value the tool prints and the capability it needs. Do not change the sysctl.
Hint shows no gainThe predictor already handled the branch. Remove the hint and profile for the real bottleneck.
Branchless version slowerThe branch was predictable and the select now executes both operands. Revert and benchmark on the target CPU.
Mitigation regresses throughputName the mitigation and its cost. Isolating the secret-handling code is the alternative; do not recommend disabling mitigations.

Output

A chat answer that names the mechanism, the measured branch-misses figure when a binary exists, one chosen remedy with its winning condition, and the mitigation layer that applies when secrets are involved.

Signals

GitHub stars
52
Forks
9
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
branch-prediction-and-speculation
Source
github.com/outlinedriven/outline-driven-development