Roadmap
Aludel's roadmap follows the current GitHub milestones and open issue assignments. The aim is to strengthen the workbench in layers: first smooth the core user experience, then harden execution and architecture, then expand evaluation depth, analytics, and optimization.
The Cauldron Awakens
Due: April 13, 2026
Focus: immediate workflow cleanup and provider UX polish.
Open issues:
-
#59 extract suite editor workflow out of
SuiteLive.Show - #58 apply prompt search and tag filters before pagination
- #30 implement custom select dropdown component
- #11 auto-populate model dropdown based on selected provider
Expected outcome:
- cleaner suite and prompt management flows
- less LiveView complexity in the editor surface
- lower-friction provider configuration
- a more polished first-use experience
Roots of the Ancient Grove
Focus: architecture, supervision, run execution, and platform reliability.
Open issues:
- #61 architecture: introduce application-service boundaries and thin LiveViews
- #60 move run execution orchestration into a supervised application service
- #62 model explicit run execution states and transitions
- #51 optimize LiveView run updates with selective fetching
- #50 make LLM request concurrency configurable
- #44 retry individual test cases
- #31 default pricing with override support
- #72 add Gemini provider support
- #28 custom storage backends for test case documents
Expected outcome:
- clearer application boundaries
- supervised and explicit execution ownership
- better UI feedback for long-running work
- expanded core provider coverage
- stronger production-readiness for pricing and document storage
The Transmutation Begins
Focus: richer evaluation fidelity and better result inspection.
Open issues:
- #69 embedded app callback execution for high-fidelity evals
- #43 deep comparison scoring for structured output assertions
- #73 add copy actions for run and suite results
- #77 export raw run and suite results as JSON
- #75 support nullable metrics and callback metadata in result views
Expected outcome:
- high-fidelity evals against real host-app execution paths
- better scoring for structured outputs
- easier debugging and result reuse
- stronger result views for callback-mode and structured-output workflows
The Great Work is Done
Focus: first-class workflow evaluation.
Open issues:
- #42 workflow evaluation support
Expected outcome:
- multi-step workflow test cases
- workflow-level cost and latency tracking
- richer comparison of real-world LLM application behavior
The Knowing Deepens
Focus: decision-oriented analytics and regression visibility.
Open issues:
- #78 rework dashboard stats around rolling windows and period deltas
- #81 add outcome-weighted efficiency metrics
- #80 add version-over-version deltas to prompt evolution
- #79 add regression and stability signals to analytics
Expected outcome:
- analytics that stay useful after long-term use
- clearer tradeoff metrics tying quality to cost and latency
- better visibility into regressions and instability
- stronger prompt and provider decision support
What Was Hidden, Speaks
Focus: richer prompt analysis surfaces after analytics and workflow primitives are in place.
Open issues:
Expected outcome:
- clearer prompt history analysis and comparison
- exportable metrics for external analysis
- better visibility into how prompt iterations change outcomes
The Sacred Patterns Revealed
Focus: optimization and recommendation systems built on top of mature evaluation and analytics.
Open issues:
- #12 integrate GEPA for prompt evolution and optimization
Expected outcome:
- prompt evolution intelligence
- optimization-oriented workflows on top of trusted evaluation history
- a clearer path from measurement to automated improvement
The following milestones exist but currently have no open issues assigned:
These are good candidates for:
- polish and consolidation
- platform scale features
- advanced workflow orchestration
- long-horizon optimization and recommendation systems
The roadmap now reads as a coherent progression:
- Refine the immediate UX and trim workflow-heavy LiveViews.
- Strengthen execution ownership and platform reliability.
- Improve evaluation fidelity, structured scoring, and result inspection.
- Expand into workflow evaluation.
- Make analytics decision-oriented rather than cumulative.
- Improve prompt analysis and comparison surfaces.
- Build optimization intelligence on top of mature evaluation primitives.