Live community launch event // 2026

ai loop

the loop works because we're in it.

ai is changing software work. some will wait, some will test alone. not us. share a real workflow, a friction, or a challenge to reveal the 2026 calendar.

17 peers already in

live contribution momentum

17 / 32 base goal

53%

TOWARD LOADING THE LOOP

COMMUNITY PERKS TO UNLOCKS

01

2026 calendar reveal

unlocked

02

Top 3 AI summer reads shared

unlocked

03

AI Loop Summit reduction code

75% target

04

AI Loop podcast pilot episode released

100% target

05

Contributors become founding members

200% target

field contributions

real friction. real workflows. shared in the open.

NAVIGATOR

Overcoming the fear of being left behind with AI

Facing the feeling of falling behind on AI adoption, the chosen response is active exploration. Testing concrete use cases hands-on helps turn anxiety into practical learning and build momentum at one's own pace.

AI AdoptionExplorationMindset

Jean-edouard Stevens · mymedicoach

BUILDER

Managing cognitive overload across multi-domain AI tools

I use AI across dev IDEs, web, 3D, and VFX pipelines. The hardest part isn't the tooling itself, but the sheer volume of context and information to hold in my head while switching workflows.

Developer ToolsWorkflowsCognitive Load

ANONYMOUS LOOPER

NAVIGATOR

Framing AI as delegation and knowing when to stop

Treating AI like an assistant by checking if instructions are clear before iterating on the final version. Run stress and quality tests, then stop to avoid sacrificing performance for perfection.

WorkflowPromptingProductivityQuality

ANONYMOUS LOOPER

BUILDER

Managing AI brain fry during endless tool iterations

It is hard to know when to stop when AI continuously proposes improvements while building or refining a tool. This over-iteration leads to mental fatigue and slows down decision-making.

ProductivityMental LoadAI ToolingWorkflow

ANONYMOUS LOOPER

SHAPER

Re-evaluating foundational CS teaching in the age of AI

Take-home assignments are losing their evaluation value because it is impossible to track AI usage, leading to more written and locked-down exams. The biggest hurdle is motivating students to master core fundamentals when AI can solve basic problems instantly, leaving gaps when they reach advanced topics.

educationpedagogyskillsassessment

Hélène Verhaeghe · UCLouvain

BUILDER

Context Retention and Feature Block Reuse in Multi-Project Vibe Coding

Juggling around ten projects per quarter accelerates delivery through vibe coding but makes context retention across clients difficult. The main challenge is structuring project memory and cleanly organizing the reuse of feature blocks across different codebases.

Vibe CodingContext ManagementCode ReuseTooling & Code

Vincent Vandoorne · Akimedia

Status: Live

2026 calendar

Milestone met53%