Epic: Context Scaling & Large Project Performance (M5) #8081

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opened 2026-04-13 03:27:00 +00:00 by HAL9000 · 3 comments

HAL9000 commented 2026-04-13 03:27:00 +00:00

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• Commit message: feat: implement context scaling and large project performance optimizations
• Branch name: feat/context-scaling-large-project-performance

Background and Context

v3.4.0 (M5: ACMS v1 + Context Scaling) requires that projects with 10,000+ files can be indexed and queried efficiently. The current implementation has no indexing optimization and will timeout or exhaust memory on large projects. This is a hard requirement for enterprise-scale adoption.

Incremental indexing is essential to avoid re-processing unchanged files on every run. Without it, even small changes to a large project would trigger a full re-index, making the system unusable in practice. Parallel file processing is required to meet the 60-second indexing target for 10,000+ file projects.

Index persistence across service restarts ensures that users do not pay the indexing cost on every session. Memory budget enforcement during indexing prevents OOM conditions on resource-constrained environments.

Current Behavior

No indexing optimization exists. Large projects cause timeouts or excessive memory usage. Every indexing run processes all files from scratch. There is no parallel processing, no persistence, and no memory budget enforcement during indexing.

Expected Behavior

Incremental indexing, parallel file processing, and efficient storage allow 10,000+ file projects to be indexed in under 60 seconds. Index persistence survives service restarts. Query latency is under 100ms for indexed projects. Memory usage stays within configured budget during indexing.

Acceptance Criteria

• Incremental indexing only re-indexes changed files
• Parallel file processing uses configurable worker pool
• Memory usage stays within configured budget during indexing
• Index persistence survives service restarts
• Query latency < 100ms for indexed projects
• 10,000+ file project indexes in < 60 seconds
• All child issues are closed and merged

Subtasks

• Implement incremental indexing with file change detection
• Implement parallel file processing with configurable worker pool
• Implement index persistence to disk
• Implement memory budget enforcement during indexing
• Benchmark: 10,000+ file project indexing time
• Write performance regression tests

Parent Legendary

Parent Legendary: #8495

Definition of Done

Epic complete when all child issues are closed and large-project indexing benchmarks pass (10,000+ files in < 60s, query latency < 100ms, memory within budget).

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## Metadata - **Commit message**: `feat: implement context scaling and large project performance optimizations` - **Branch name**: `feat/context-scaling-large-project-performance` ## Background and Context v3.4.0 (M5: ACMS v1 + Context Scaling) requires that projects with 10,000+ files can be indexed and queried efficiently. The current implementation has no indexing optimization and will timeout or exhaust memory on large projects. This is a hard requirement for enterprise-scale adoption. Incremental indexing is essential to avoid re-processing unchanged files on every run. Without it, even small changes to a large project would trigger a full re-index, making the system unusable in practice. Parallel file processing is required to meet the 60-second indexing target for 10,000+ file projects. Index persistence across service restarts ensures that users do not pay the indexing cost on every session. Memory budget enforcement during indexing prevents OOM conditions on resource-constrained environments. ## Current Behavior No indexing optimization exists. Large projects cause timeouts or excessive memory usage. Every indexing run processes all files from scratch. There is no parallel processing, no persistence, and no memory budget enforcement during indexing. ## Expected Behavior Incremental indexing, parallel file processing, and efficient storage allow 10,000+ file projects to be indexed in under 60 seconds. Index persistence survives service restarts. Query latency is under 100ms for indexed projects. Memory usage stays within configured budget during indexing. ## Acceptance Criteria - [ ] Incremental indexing only re-indexes changed files - [ ] Parallel file processing uses configurable worker pool - [ ] Memory usage stays within configured budget during indexing - [ ] Index persistence survives service restarts - [ ] Query latency < 100ms for indexed projects - [ ] 10,000+ file project indexes in < 60 seconds - [ ] All child issues are closed and merged ## Subtasks - [ ] Implement incremental indexing with file change detection - [ ] Implement parallel file processing with configurable worker pool - [ ] Implement index persistence to disk - [ ] Implement memory budget enforcement during indexing - [ ] Benchmark: 10,000+ file project indexing time - [ ] Write performance regression tests ## Parent Legendary **Parent Legendary**: #8495 ## Definition of Done Epic complete when all child issues are closed and large-project indexing benchmarks pass (10,000+ files in < 60s, query latency < 100ms, memory within budget). --- **Automated by CleverAgents Bot** Supervisor: Epic Planning Pool | Agent: epic-planning-pool-supervisor

HAL9000 added the

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labels 2026-04-13 03:28:17 +00:00

HAL9000 added this to the v3.4.0 milestone 2026-04-13 03:28:26 +00:00

HAL9000 removed the

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label 2026-04-13 03:31:33 +00:00

HAL9000 commented 2026-04-13 03:32:29 +00:00

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[AUTO-OWNR-1] Triage Decision

Status: ✅ Verified

MoSCoW Priority: Must Have

Rationale: v3.4.0 requires large-project indexing to complete within the 60s SLA, so the context scaling and performance work is a hard milestone dependency for enterprise readiness.

Milestone: v3.4.0 — M5: ACMS v1 + Context Scaling

This issue has been reviewed and verified by the project owner. It is now ready for development.

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## [AUTO-OWNR-1] Triage Decision **Status**: ✅ Verified **MoSCoW Priority**: Must Have **Rationale**: v3.4.0 requires large-project indexing to complete within the 60s SLA, so the context scaling and performance work is a hard milestone dependency for enterprise readiness. **Milestone**: v3.4.0 — M5: ACMS v1 + Context Scaling This issue has been reviewed and verified by the project owner. It is now ready for development. --- **Automated by CleverAgents Bot** Supervisor: Project Owner | Agent: project-owner-pool-supervisor

HAL9000 referenced this issue 2026-04-13 03:35:27 +00:00

[AUTO-PROJ-OWN] Status: Project Owner Report (Cycle 1) #8117

HAL9000 referenced this issue 2026-04-13 03:42:48 +00:00

Legendary: ACMS v1 & Context Scaling #8132

HAL9000 referenced this issue 2026-04-13 04:00:49 +00:00

[AUTO-EPIC] Status: Epic Planning Supervisor — Cycle 2 #8143

HAL9000 referenced this issue 2026-04-13 04:12:26 +00:00

[AUTO-EPIC] Status: Epic Planning Supervisor — Cycle 2 #8143

HAL9000 commented 2026-04-13 04:23:44 +00:00

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[AUTO-EPIC] Parent Legendary Linkage Update

Parent Legendary identified: #8132 — Legendary: ACMS v1 & Context Scaling (v3.4.0)

The Epic body previously noted "Parent Legendary: TBD". The correct parent is #8132.

Dependency direction: This Epic (#8081) BLOCKS Legendary #8132. Legendary #8132 DEPENDS ON this Epic.

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Supervisor: Epic Planning | Agent: epic-planning-pool-supervisor

## [AUTO-EPIC] Parent Legendary Linkage Update **Parent Legendary identified**: #8132 — Legendary: ACMS v1 & Context Scaling (v3.4.0) The Epic body previously noted "Parent Legendary: TBD". The correct parent is #8132. **Dependency direction**: This Epic (#8081) BLOCKS Legendary #8132. Legendary #8132 DEPENDS ON this Epic. --- **Automated by CleverAgents Bot** Supervisor: Epic Planning | Agent: epic-planning-pool-supervisor

HAL9000 referenced this issue 2026-04-13 04:26:52 +00:00

feat: implement ACMS incremental indexing with file change detection #8200

HAL9000 referenced this issue 2026-04-13 04:26:59 +00:00

feat: implement ACMS parallel file processing with configurable worker pool for large project indexing #8201

HAL9000 referenced this issue 2026-04-13 04:27:07 +00:00

feat: implement ACMS query performance optimization for indexed projects (< 100ms latency) #8202

HAL9000 commented 2026-04-13 04:31:49 +00:00

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🧩 Child Implementation Issues Created

The following child issues have been created for this Epic and are now tracked under milestone v3.4.0:

#	Issue	Priority	Branch
1	#8200 — feat: implement ACMS incremental indexing with file change detection	🟠 High	feat/acms-incremental-indexing-file-change-detection
2	#8201 — feat: implement ACMS parallel file processing with configurable worker pool for large project indexing	🟠 High	feat/acms-parallel-file-processing-worker-pool
3	#8202 — feat: implement ACMS query performance optimization for indexed projects (< 100ms latency)	🟠 High	feat/acms-query-performance-optimization

All 3 child issues block this Epic and must be completed before this Epic can be closed.

---

Automated by CleverAgents Bot
Supervisor: Epic Planning | Agent: epic-planning-pool-supervisor

## 🧩 Child Implementation Issues Created The following child issues have been created for this Epic and are now tracked under milestone **v3.4.0**: | # | Issue | Priority | Branch | |---|-------|----------|--------| | 1 | #8200 — feat: implement ACMS incremental indexing with file change detection | 🟠 High | `feat/acms-incremental-indexing-file-change-detection` | | 2 | #8201 — feat: implement ACMS parallel file processing with configurable worker pool for large project indexing | 🟠 High | `feat/acms-parallel-file-processing-worker-pool` | | 3 | #8202 — feat: implement ACMS query performance optimization for indexed projects (< 100ms latency) | 🟠 High | `feat/acms-query-performance-optimization` | All 3 child issues block this Epic and must be completed before this Epic can be closed. --- **Automated by CleverAgents Bot** Supervisor: Epic Planning | Agent: epic-planning-pool-supervisor

HAL9000 referenced this issue 2026-04-13 04:40:16 +00:00

[AUTO-EPIC] Status: Epic Planning Supervisor — Cycle 3 (Cycle 3) #8216

HAL9000 referenced this issue 2026-04-13 04:42:47 +00:00

[AUTO-EPIC] Status: Epic Planning Supervisor — Cycle 3 (Cycle 3) #8216

HAL9000 referenced this issue 2026-04-13 05:04:29 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Cycle 4 #8230

HAL9000 referenced this issue 2026-04-14 02:39:20 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Tracking Issue (Cycle 9) #8850

HAL9000 referenced this issue 2026-04-14 04:19:44 +00:00

[AUTO-EPIC] Epic Planning Pool Supervisor — Cycle 1 Status #8961

HAL9000 added a new dependency 2026-04-14 04:40:27 +00:00

#8495 Legendary: Advanced Context Management System v1 (v3.4.0)

HAL9000 referenced this issue 2026-04-14 05:28:53 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Tracking Issue (Cycle 10) #9016

HAL9000 referenced this issue 2026-04-14 06:26:21 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Tracking Issue (Cycle 14) #9042

HAL9000 referenced this issue 2026-04-16 13:14:56 +00:00

feat(acms): implement incremental file indexing with mtime/hash-based change detection for large projects #10021

HAL9000 referenced this issue 2026-04-16 13:15:04 +00:00

feat(acms): implement parallel file processing with configurable worker pool for sub-60-second large project indexing #10022

HAL9000 referenced this issue 2026-04-16 13:15:13 +00:00

test(acms): implement performance regression test suite for large project indexing — 10,000+ file benchmark and query latency assertions #10023

HAL9000 referenced this issue 2026-04-17 05:49:33 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Cycle 5 #10203

HAL9000 added the

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Unverified

label 2026-04-17 06:02:58 +00:00

HAL9000 referenced this issue 2026-04-17 06:53:17 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Cycle 6 #10217

HAL9000 added

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Verified

and removed

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labels 2026-04-18 07:56:08 +00:00

HAL9000 referenced this issue 2026-05-09 10:49:33 +00:00

perf(acms): optimize ACMS indexing for 10,000+ file projects with parallel processing #9981

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Should have feature in order to satisfy the epic/legendary.

  

Needs Feedback

There are questions in the ticket that can not be completed until the project owner provides clarity.

  

Points

1

1 man-hours worth of work for an expert with no learning curve.

  

Points

13

13 man-hours worth of work for an expert with no learning curve.

  

Points

2

2 man-hours worth of work for an expert with no learning curve.

  

Points

21

21 man-hours worth of work for an expert with no learning curve.

  

Points

3

3 man-hours worth of work for an expert with no learning curve.

  

Points

34

34 man-hours worth of work for an expert with no learning curve.

  

Points

5

5 man-hours worth of work for an expert with no learning curve.

  

Points

55

55 man-hours worth of work for an expert with no learning curve.

  

Points

8

8 man-hours worth of work for an expert with no learning curve.

  

Points

88

88 man-hours worth of work for an expert with no learning curve.

  

Priority

Backlog

This ticket has backlogged priority and is not to be worked on yet

  

Priority

CI Blocker

Critical priority issue that blocks CI/CD pipeline and prevents PR merges

  

Priority

Critical

The priority is critical

  

Priority

High

The priority is high

  

Priority

Low

The priority is low

  

Priority

Medium

The priority is medium

  

Signed-off: Owner

When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  

Signed-off: Scrum Master

When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  

Signed-off: Tech Lead

When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  

Spike

A ticket for learning a tool or technology that is needed to be able to do future planning and design.

  

State

Completed

The ticket has been fully implemented, completed, and merged with the source code. This label should only be applied once a ticket is closed.

  

State

Duplicate

A ticket that represents the same content as an existing ticket.

  

State

In Progress

A ticket that is actively being developed.

  

State

In Review

A ticket that has had some code completed to implement but is waiting to pass peer review and is not yet merged in.

  

State

Paused

This ticket's work started but wasn't finished. It's on hold (likely in a feature branch) and will be resumed later, either due to a blocker or a delay.

  

State

Unverified

All new tickets start in this state. A developer may set it to show the ticket is unverified. This means we haven't agreed to work on it. It will either move to a verified state or be closed as wontdo.

  

State

Verified

The issue has been verified by a developer as legitimate. It will be worked on and verified tickets are now considered part of the backlog.

  

State

Wont Do

This ticket has been decided it wont be done. This may mean the bug has been determined to not be real (cant verify) or the feature is one we have decided we dont want to adopt.

  

Type

Automation

Any edits or discussion about the AI automated coding system.

  

Type

Bug

Something that doesnt work as intended.

  

Type

Discussion

Anytime a ticket represents a discussion about a subject and doesnt fall into one of the other categories.

  

Type

Documentation

An error or improvement needed in the documentation.

  

Type

Epic

Any first tier epic. That is, an epic which contains only issues as children and will not have sub-epics.

  

Type

Feature

Some new functionality not present.

  

Type

Legendary

A type of Epic which will contain other Epics.

  

Type

Refactor

A code change that restructures existing code without changing its external behavior.

  

Type

Support

Someone needs help using the project.

  

Type

Task

A generic task that doesnt fit into the other type categories.

  

Type

Testing

Work exclusively focusing on fixing or expanding testing.

No labels

auto/needs-reevaluation

controller-managed

auto/blocked-by-deps

auto/ci-timeout

auto/claimed-implementer

auto/claimed-merge

auto/claimed-reviewer

auto/driver-down

auto/invariant-violation

auto/last-attempt-tier-0

auto/last-attempt-tier-1

auto/last-attempt-tier-2

auto/last-attempt-tier-min

Automation Tracking

auto/needs-conflict-resolution

auto/needs-implementer

auto/postmortem

auto/ready-to-merge

auto/restart-throttled

auto/revert

auto/sentinel

auto/stale-inactivity

auto/unstable

Blocked

Bounty

$100

Bounty

$1000

Bounty

$10000

Bounty

$20

Bounty

$2000

Bounty

$250

Bounty

$50

Bounty

$500

Bounty

$5000

Bounty

$750

MoSCoW

Could have

MoSCoW

Must have

MoSCoW

Should have

Needs Feedback

Points

1

Points

13

Points

2

Points

21

Points

3

Points

34

Points

5

Points

55

Points

8

Points

88

Priority

Backlog

Priority

CI Blocker

Priority

Critical

Priority

High

Priority

Low

Priority

Medium

Signed-off: Owner

Signed-off: Scrum Master

Signed-off: Tech Lead

Spike

State

Completed

State

Duplicate

State

In Progress

State

In Review

State

Paused

State

Unverified

State

Verified

State

Wont Do

Type

Automation

Type

Bug

Type

Discussion

Type

Documentation

Type

Epic

Type

Feature

Type

Legendary

Type

Refactor

Type

Support

Type

Task

Type

Testing

Milestone

Clear milestone

No items

No milestone

v3.4.0

Projects

Clear projects

No items

No project

Assignees

Clear assignees

No assignees

1 participant

Notifications

Subscribe

Due date

The due date is invalid or out of range. Please use the format "yyyy-mm-dd".

No due date set.

Blocks

#8495 Legendary: Advanced Context Management System v1 (v3.4.0)

cleveragents/cleveragents-core

Reference

cleveragents/cleveragents-core#8081

No description provided.