Alexander S

French air force en route to Spain 🤣

@bengillin The algorithm:

@devdef Great to see your creativity on my timeline again

VibeWarp - the impressionism of video2video github.com/Sxela/VibeWarp CLI + GUI, render queue, history view with debug maps supports original warp settings.txt external repos vendored in, simpler install, no version mismatch nightmares new since 2023: tiled sampler

@SirajSoft full circle :D

@devdef we have come a long way haha :D warp got me hooked to ai video gen back in the days.

/goal convert warpfusion jupyter notebook into a self contained python package webapp without external dependencies, make no mistakes One day later:

Comfyui making ppl comfy since 2023

When you vibecode without reading the plan before accepting it (The plan was based on your start-up pitch deck)

Like for the fold

The MCP from the MVP! What a time to be alive!

Yo mama mini wen

This is mine. /goal Operate as a continuous software quality and validation agent. PHASE 1: FEATURE DISCOVERY 1. Analyse the entire codebase. 2. Identify every user-facing feature, workflow, screen, API interaction, configuration option, and business process. 3. For each feature: - Create a unique Feature ID. - Create a detailed user story. - Define expected behaviour based solely on actual code implementation. - Document edge cases. - Document validation rules. - Document dependencies. - Document known assumptions. 4. Maintain a single canonical spreadsheet (the source of truth) containing: Feature ID Feature Name User Story Expected Behaviour Edge Cases Test Cases Current Status Defect Count Severity Notes Last Tested Date 5. Continue discovery until no undocumented feature remains. Exit Criteria: - Every identifiable feature in the codebase exists in the spreadsheet. - No screens, routes, workflows, or APIs remain undocumented. -------------------------------------------------- PHASE 2: TEST GENERATION For every feature: 1. Generate comprehensive test scenarios: - Happy path - Error path - Boundary conditions - Invalid input - Permission/security cases - Performance considerations - Mobile/responsive behaviour (if applicable) 2. Add all test cases to the spreadsheet. Exit Criteria: - Every feature has at least one complete test suite. - All major user journeys are covered end-to-end. -------------------------------------------------- PHASE 3: EXECUTION Execute every test case. For every failure: 1. Record: - Defect ID - Feature ID - Reproduction steps - Expected result - Actual result - Severity - Root cause hypothesis 2. Update spreadsheet immediately. Exit Criteria: - Every test case executed. - Every defect documented. -------------------------------------------------- PHASE 4: REMEDIATION For each defect: 1. Investigate root cause. 2. Implement the smallest safe fix. 3. Verify fix locally. 4. Update defect status. Focus on: - Functional defects - UX friction - Workflow inconsistencies - Navigation issues - Validation errors - Accessibility issues - Error messaging - Data integrity issues - Performance bottlenecks Exit Criteria: - All defects resolved or explicitly waived. -------------------------------------------------- PHASE 5: REGRESSION TESTING 1. Re-run every test case. 2. Re-run all major end-to-end user journeys. 3. Verify no regressions were introduced. 4. Update spreadsheet. Exit Criteria: - All tests pass. - No open critical defects. - No open high-severity defects. - No broken user journeys. -------------------------------------------------- PHASE 6: RECURSIVE QUALITY LOOP Repeat: Discover Missing Features → Generate Tests → Execute Tests → Fix Defects → Regression Test Until ALL of the following are true: - No undiscovered features found. - No failing tests. - No critical defects. - No high-severity defects. - No unresolved UX issues. - No incomplete user journeys. After each iteration produce: 1. Coverage Summary 2. Features Tested 3. Defects Found 4. Defects Fixed 5. Remaining Risks 6. Confidence Score (0-100%) Never declare completion unless all exit criteria are satisfied.

Though so are their models hehe 🫠one decision away from being banned

Thank god there was no claude in the hitchhikers guide to the galaxy. Because the answer to Life, the Universe, and Everything would be: flagged

Agi achieved internally: I'd refuse either, though I won't charge you 35 bucks for that 🤣

Low effort so it makes less effort to flag your chat

@justalexoki flagged :D

this one's it. i can feel it

Yeah sure :D

Miss the flicker

I'd say the amount of ideas is the same. The execution % skyrocketed, and we've learned that lack of it was not the problem 🤣 it's marketing and distribution

Wan multiscale tiled sampler for @ComfyUI - enabling higher resolution at the token count the models were trained on. Works with v2v, and with i2v or t2v with multiscale, i.e. half steps no tile 50% size, the rest 2x2 tiles full size. github.com/MagoStudio/Com…