8090
@8090_Factory • 7,294 subscribers
Software Factory is an AI-native SDLC orchestration platform where PMs, designers, engineers and QA collaborate to ship high-quality software.
Shorts
Videos
Introducing Software Factory Unified Agent. The Software Factory agent now operates across all modules in the assembly line, rather than one agent per module. Users can move with fluidity retaining their conversation history at each step from requirements, to blueprints, to work orders. Skills and alerts are tagged by module but can be accessed and run from any module. Try it today:
8090135,061 次观看 • 11 天前
most enterprise software costs more to maintain per year than it cost to build. that's the entire business model of your current vendor. every modernization project in the last decade has one of two outcomes. it goes 2-3x over budget and ships late. or it gets cancelled and the legacy system stays. why? nobody can extract the business logic from the old system. it lives in vendor heads. in stack overflow threads. in a comment from 2014 that says "don't touch this." AI just broke that model. an insurer we worked with replaced an $8M/year legacy vendor with a purpose-built system. $21M saved over four years. the maintenance era is ending. the rewrite era is starting. and it's faster than your CFO's last modernization RFP. reach out to us [email protected] to vent about your current vendor.
8090484,209 次观看 • 1 个月前
![Re-introducing 8090... Two ways to work with us: → [BUILD] Software Factory: the platform for consulting and technology businesses building software with AI agents. The documentation stays alive because the system keeps it alive (no one ever updates the PRD on their own). → [BUY] 8090 Enterprise: AI-native custom software we design, build, and host tailored to your exact business needs. Give us a problem and we go execute. What part of your current SDLC is the most overdue for a rebuild?](https://image.24vids.com/tw-2047000227102728601/amplify_video_thumb/2046999935720263681/img/jqOyGXlbFZn6K1x8.jpg)
Re-introducing 8090... Two ways to work with us: → [BUILD] Software Factory: the platform for consulting and technology businesses building software with AI agents. The documentation stays alive because the system keeps it alive (no one ever updates the PRD on their own). → [BUY] 8090 Enterprise: AI-native custom software we design, build, and host tailored to your exact business needs. Give us a problem and we go execute. What part of your current SDLC is the most overdue for a rebuild?
8090292,501 次观看 • 1 个月前
Enterprises today are running single-player AI in a multiplayer business. One engineer plus one IDE plus one agent ships lines of code faster. It does not ship coordinated software. Two desks over, another engineer's agent is shipping a change that contradicts last quarter's architecture decision. Neither agent knows. Compliance assembles the audit trail from screenshots after the fact. We built Software Factory to turn that into a team. Requirements captures the business intent in plain English. Blueprints maps the architecture as it actually exists. Work Orders translates that into structured tasks agents execute through MCP in Cursor, VS Code, or Claude Code. Tests validates the deployed code against the Requirement that started it. The Knowledge Graph wires it all together. Your engineers conduct the agents. The agents share state. The audit trail is part of the build, not a quarterly forensics exercise. EY's deployment: +70% productivity, 95%+ automated test coverage, months of roadmap compressed to days.
809074,761 次观看 • 12 天前
The question we get the most with 8090 Enterprise engagements. Who maintains it and what happens when the software needs to change? Most custom software is built once and patched forever. Every change request becomes a six-week negotiation with a vendor who can no longer explain their own code. 8090 Enterprise inverts that. We design, build, host, AND maintain. Software Factory powers our delivery and is built for the second year of changes, the third year, and the tenth. Reach out to us about what system you want to replace: [email protected]
8090120,538 次观看 • 20 天前
prediction from Chamath Palihapitiya : 95% of enterprise software running in production today will be rewritten in the next 3 years. AI made rewriting cheaper than maintaining. for 30 years the ROI on rebuilding software was brutal. a 7-figure build. a 2-year timeline. 60% chance of failure. executives chose maintenance every time, even as costs compounded. AI just flipped that equation. the moats that mattered for 30 years in enterprise software are about to collapse. first movers will own the new infrastructure. laggards will be the ones still paying maintenance fees to vendors that can't explain their own code. take a look at your own maintenance line item and ask what an AI-native rewrite would cost instead. reach out to us to learn about what use cases we've solved across healthcare/life science, government, manufacturing, & energy: [email protected]
8090273,636 次观看 • 1 个月前
Max Tynan on the gap nobody else is solving. AI coding tools are single-player by design. One developer, one repo, one prompt. Enterprise software is a team sport. Software Factory is the multiplayer layer. Work Orders run inside Cursor, VS Code, or Claude Code through MCP. Requirements, Blueprints, and Tests stay connected in the Knowledge Graph. Engineers keep their IDE. The team gets a system around it.
8090101,788 次观看 • 27 天前
"Deeply powerful. But also deeply primitive." The AI conversation has split into two camps that are both wrong. Camp one: AI is magic. Six months from AGI. Build everything on top of it. The model will figure it out. Camp two: It's a parlor trick. It hallucinates. It can't reason. The whole thing collapses inside a year. Both miss what's actually happening. Modern AI is genuinely powerful AND genuinely primitive. The same system that drafts a contract in 20 seconds can't tell you, with certainty, what its own confidence is on a single sentence. That's the nature of next-token prediction at scale. The companies that win the next decade hold both ideas at once. They go faster. They also build the rigging that lets them trust what they ship. The ones pretending they already know what this moment is are the ones who'll spend 2027 explaining to the board why a launch they bet the year on shipped wrong. Chamath at Stanford. 43 seconds ↓
8090118,067 次观看 • 1 个月前
