Software Engineer. Building SaaS @otakuaiapp

Joined May 2020
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I just gave one prompt to Fable: "build me a solar system simulation" Look at the visuals, that's just amazing @claudeai the graphics look like a NASA screensaver and the code is airtight. @claudeai is just incredible.
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The benchmark wars lasted longer than the crown. Waiting to see the benchmarks of gpt 5.6 compare to opus 4.8 and Fable 5.
GPT-5.6 : Coming Next Week - OpenAI Chief Scientist Jakub Pachocki said GPT-5.6 will be a "meaningful improvement" over GPT-5.5 (via The Information). - A new anonymous model called "Kindle" has appeared on Design Arena, likely linked to the previously leaked kindle-alpha GPT-5.6 checkpoint - GPT-5.6 is competitive with Claude Fable 5 while potentially being available at a much lower price point - GPT-5.6 is expected to bring major improvements in reasoning, coding, agentic workflows, vision, and frontend generation - OpenAI is also considering significant token price cuts as competition with Anthropic continues to intensify
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I think I still have time to launch my startup 😌
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They asked me what I'm best at ? My inner claude code with fable 5 :
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Amit Yadav retweeted
Claude Fable 5 just dropped and I'm running it across every repo I own. I ship 4 products solo. I don't have time to manually review tech debt — so I made the new model do it. This prompt audits your entire codebase like a principal engineer would: maps it, finds the ugly parts, rates everything by severity, and hands you a prioritized task plan with effort estimates. Copy-paste it into Claude Code on any repo that matters to you: --- Repo Audit & Improvement Plan You are a world-class principal-level software engineer and technical auditor. Deeply analyze this repository, produce an honest audit, and deliver a prioritized, actionable improvement plan. Work in the four phases below, in order. Do not skip ahead. Ground every claim in actual files: cite file paths and line numbers. If you can't verify something, say so explicitly rather than guessing. Phase 1 — Discovery & Mapping (read before judging) - Map the directory structure, project type, languages, frameworks, runtime targets - Identify entry points, core modules, and the main data/control flow - Read package manifests, lockfiles, build config, CI config, env files, and docs - Determine what the project is for: purpose, intended users, maturity level - Note existing conventions so recommendations fit the culture instead of fighting it Output: a concise "Repo Map" — purpose, stack, architecture sketch, key directories, and anything that surprised you. Phase 2 — Audit (evidence-based, severity-rated) For every finding record: what you found, where (file:line), why it matters, and severity (Critical/High/Medium/Low). Audit: - Architecture & design: coupling, circular deps, god files, layering violations, scalability bottlenecks - Code quality: duplication, dead code, complexity hotspots, swallowed exceptions, type safety holes - Security: hardcoded secrets, injection risks, missing validation, auth weaknesses, deps with known CVEs - Testing: coverage gaps around core business logic, tests that assert nothing, missing test types - Performance: N 1 queries, blocking calls in async paths, missing caching, unbounded growth - Dependencies: outdated, unmaintained, or unnecessarily heavy packages; lockfile hygiene - DevEx & ops: build friction, CI/CD gaps, logging/observability, deployment story - Docs: README accuracy, stale docs that contradict code Rules: prefer 15 high-confidence findings over 50 speculative ones. Label facts vs. judgments. List strengths too. Don't forget the ugly parts that need utmost priority. Phase 3 — Improvement Strategy - Identify the 3–5 themes that explain most findings - For each theme: target state the principle behind it - State what you're NOT fixing and why (effort vs. payoff) - Define "done" with measurable signals (e.g., "CI fails on lint errors," "core coverage >= 80%") Phase 4 — Detailed Task Plan Break work into discrete tasks, each with: title description, files affected, acceptance criteria, effort (S = <2h, M = half-day, L = 1–2 days, XL = needs breakdown), risk, and dependencies. Order into milestones: - Milestone 0 — Safety net: tests around critical paths, CI gates, backups - Milestone 1 — Critical fixes: security and correctness - Milestone 2 — High-leverage improvements that make all future work easier - Milestone 3 — Quality & polish Flag quick wins (high impact, S effort) separately. Include implementation sketches for the top 3 tasks. Final deliverable: one document — Executive Summary (health grade A–F, top 3 risks, top 3 opportunities), Repo Map, Audit Report, Improvement Strategy, Task Plan, Open Questions. Constraints: Do NOT modify any code. Analysis only. Don't pad the report — if a dimension is healthy, say so in one sentence and move on. Calibrate to the project's maturity. If the repo is large, go deep on the core 20% that does 80% of the work.
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.
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Amit Yadav retweeted
Replying to @claudeai
Fable 5 built me a Minecraft clone in 37 minutes. one prompt. ~3K lines of code. $12 in API costs. biomes, caves, ores, day/night, mobs all of it. Minecraft took Notch 2 years. @claudeai is the real OG ! we are cooked 💀📷 👇
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Fable 5 built me a Minecraft clone in 37 minutes. ~3K lines of code. $12 in API costs. one prompt. biomes, caves, ores, day/night, mobs all of it. Minecraft took Notch 2 years. @claudeai is the real OG ! we are cooked 💀🎮👇
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Using @claudeai mythos / fable to center a div 🥶
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Amit Yadav retweeted
Replying to @claudeai
I just gave one single prompt to fable 5 to build simulator on real fluid dynamics @claudeai is the real OG ! real fluid dynamics. real vortices. real pressure gradients. the stuff aerospace engineers spend careers on : one prompt, one file, 60fps
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That's just incredible 🔥
Replying to @claudeai
Look at the visuals of this I created through Fable with just one prompt. This is really promising @claudeai
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Amit Yadav retweeted
Replying to @claudeai
Look at the visuals of this I created through Fable with just one prompt. This is really promising @claudeai
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Can't wait to ask Mythos class intelligence why my code doesn't work 💀
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.
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It's the reality !
The harsh truth
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When was the last time you did something for the first time ?
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Growing up is realizing that almost everyone is figuring it out as they go.
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2 years ago: Learning DSA. Today: Building AI agents. The funny part ? Debugging is still 80% of the job.
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The fastest way to learn in tech: Build something. Break it. Google it. Repeat.
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Nobody talks about how weird adulthood is. You spend your childhood wanting freedom. Then spend your adulthood wanting free time.
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Amit Yadav retweeted
I saw a guy coding today. Tab 1 ChatGPT Tab 2 Gemini Tab 3 Claude Tab 4 Grok Tab 5 DeepSeek He asked every AI the same exact question. Patiently waited, then pasted each response into 5 different Python files. Hit run on all five. Pick the best one. Like a frickin sociopath.
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Funny how such small things can bring back so many memories ❤️
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