Dash app at .codeflash/standups/ for weekly eng meetings. Pulls live PR data across 4 org repos, renders markdown standup notes, integrates CI audit report with corrected billing numbers from real GitHub API data. Deployed to Plotly Cloud.
Case study in .codeflash/krrt7/codeflash-ai/ci-audit/ with README,
status, and raw data (fork activity, PRs merged).
Interactive Dash report in reports/codeflash-ci-audit/ with two tabs:
Executive Summary (hero metrics, cost impact charts, before/after) and
Full Detail (fork breakdown, findings table, PR inventory, methodology).
Key numbers: 71% fewer workflow runs, ~$12K/yr in Enterprise overage
savings, 200+ forks disabled, 11 PRs merged across 2 repos.
Weave "optimizations reveal deeper issues" framing into engagement report
executive summary, case study, and optimization README. Add O(N²) text
extraction fix, per-request RSS creep (24→17 MB), and memray profiling
data that were previously undocumented.
- Rewrite executive summary to reference his PR #1465 lockfile fix and
existing tooling (Renovate, Anchore, Chainguard)
- Reorder findings by category priority (supply chain > container > CI/CD)
to lead with what matters most to the audience
- Add animated parallelogram background matching codeflash.ai aesthetic
- 6 research-backed UX changes: severity icons (WCAG 1.4.1), title-first
cards (F-pattern), loss-framed 85% CTA, distinct status colors, card
opacity for figure-ground separation
- Correct SEC-021 from 67% to 97% mutable Action pins per VM verification
(only 2 of 96 SHA-pinned in core-product)
- Add talking-points-lawrence.md with profile, pain points, pitch strategy
Split the 39-finding wall into tabbed views matching the engagement
report pattern: Summary, Critical & High (21), Medium & Low (18),
and By Category with both category and repository breakdowns.
- Add build_jpc_view() with clean standalone layout at /jpc for JPC
(no tabs, no hero — just the document that "stands on its own")
- Add URL routing via dcc.Location: / serves full report, /jpc serves summary
- Add methodology notes to exec view (How This Was Tested annotations)
- Add methodology notes to detail view (7-entry "why" card)
- Enrich team view Memory + Standalone vs. Cumulative explanations
Team view:
- Add Engineering Impact Summary at top (4 metrics: memory, density,
latency, idle vCPU) with pointer to sections below
- Remove Production Context card (redundant with Impact Summary)
- Trim memory table to only metrics not shown in chart (RSS per
request, K8s allocation) — chart already shows pre/post/delta
- Fix "10-page scan" → "10-page scanned document" in methodology
Detail view:
- Add intro callout explaining this is the raw data backing the
other two views
Reorder based on persuasion research (Three-Talk Model, Prospect
Theory, Kotter):
1. "The Engagement" — collaborative shared context (team talk)
2. "What This Enables" — loss-framed enablement: 9.2x pod density,
41 idle vCPUs now available, -12.9% latency for agentic API
3. "The Results" — before/after proof of execution
4. Infrastructure Cost Impact (anchored on $100K/mo)
5. Workload Profiles + Methodology (credibility)
6. Delivered + Proposed Next Engagements
Key shift: lead with what the work unlocks (feature velocity,
platform capacity, API speed) rather than the technical achievement
(memory reduction). Cost savings is proof of execution, not the
headline.
The 1p/10p/16p benchmark rationale belongs in the exec view — JPC
needs to understand that page count != workload before seeing the
numbers. Added "Benchmark Workload Profiles" section before "How This
Was Tested" with the three profiles and the data punchline (#1505 at
-32.6% on 1 page vs -7.4% on 16 pages).
The 1p/10p/16p column headers weren't self-explanatory. Added a
"Benchmark Workload Profiles" card above the latency table in the
Detail view explaining that each document tests a distinct workload
shape (table-dense, scanned, mixed), not just different page counts.
Also added annotation below the table calling out that #1505 has 4x
the impact on the 1-page doc vs. the 16-page doc — letting the data
demonstrate that per-document cost depends on content, not page count.
- Reframe Future Engagements → Proposed Next Engagements based on
Crag meeting: lead with Platform API speed/stability, add
Infrastructure Cost Discovery ($100K/mo), remove Codeflash product
pitch
- Add Broader Context callout after cost section (core-product = ~10%
of total Azure spend)
- Fix Knative terminology throughout: "Knative pods" → "pods with a
1-CPU resource request" (CFS quota, not Knative config)
- Fix CPU detection description: three-tier logic (cgroup v2 cpu.max →
sched_getaffinity → os.cpu_count, take minimum)
- Clarify jemalloc is opt-in (MALLOC_IMPL=jemalloc), 1-CPU serial OCR
only; multi-CPU pods should use glibc default due to ~50 MB/process
arena overhead
Standalone security report (security_report.py) covering 6 supply chain
and build pipeline findings from the performance engagement. Add infra
cost section to exec view showing $10K → $1.1K/mo projection based on
D48s_v5 node packing at 4 GB vs 32 GB per pod.
* Update engagement report: add logos, grid theme, scope to core-product
- Add Codeflash x Unstructured logo lockup in hero and footer
- Apply roadmap grid pattern (48px, 5% opacity) and zinc-900 background
- Update cards to rounded-2xl with semi-transparent zinc-900/50 bg
- Remove all platform-libs, CI/CD, and security audit sections
- Remove stacked optimizations PR #1500 from open PRs
- Update data to latest FastAPI endpoint measurements
- Filter PR tables to core-product only
* Add methodology section to team view, fix DataTable type safety
Add benchmark environment, measurement protocol, and production
context cards to the top of the Engineering Team view. Split
TABLE_STYLE into individually typed constants (TABLE_HEADER,
TABLE_CELL, TABLE_DATA, TABLE_DATA_CONDITIONAL, TABLE_WRAP) so
DataTable kwargs pass ty and mypy strict checks.
* Add engagement report screenshot assets
* Add PRs from unstructured, unstructured-inference, unstructured-od-models
Expand report scope beyond core-product: 14 new merged PRs and 2 new
open PRs across 3 additional repos. Update PR counts (24 merged, 5 in
progress), add Repo column to detail view tables, update subtitle and
meta description.
* Make PR numbers clickable links in detail view tables
Use DataTable markdown columns with link_target=_blank so PR numbers
link to their GitHub PRs. Add REPO_BASES mapping for per-repo URL
resolution. Override default purple link color with blue (#60a5fa)
to stay readable on the dark background.
* main
* Add Future Engagements section with notes panels to exec view
Prominent banner heading, four numbered cards (CI/CD, Security, Runtime,
Product Integration) each with a right-hand Notes panel for discussion
points. Refactored _next_card helper to accept optional notes parameter.
* Add Unstructured engagement report as uv workspace member
Three-tier Plotly Dash app (Executive Brief, Engineering Team, Full
Detail) with data in JSON, theme constants in theme.py, and Dash
production improvements (Google Fonts, clientside callbacks, meta tags).
Also: add .playwright-mcp/ to .gitignore, add reports/* ruff overrides,
remove tracked .codeflash/observability/read-tracker.
* Rewrite statusline to derive context from git state
Detects active area from changed files (reports, packages, plugin,
.codeflash, case-studies, evals), falls back to branch name convention
(perf/*, feat/*, fix/*), shows dirty indicator. Uses whoami for
cross-platform user detection.
* Add pre-push lint rule to commit guidelines
* Exclude .codeflash/ from ruff linting
Benchmark and profiling scripts in .codeflash/ are scratch work, not
package source. Excluding them prevents CI failures from ad-hoc scripts.
* Run ruff format across packages, scripts, evals, and plugin refs
* Fix github-app async test failures in CI
Add asyncio_mode = "auto" to root pytest config so async tests
are detected when running from the repo root via uv run pytest packages/.
