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Fossible Sprints — AI-Augmented Product Development, Flat Monthly Fee
A dedicated dev pod. Enterprise guardrails. You own everything we ship.
Something has changed in how software gets built.
AI didn't just make developers faster — it changed what a small, focused team can deliver. The gap between a mediocre 20-person team and an elite 5-person AI-augmented team has never been wider. The bottleneck isn't headcount anymore. It's workflow design, guardrails, and knowing when to use AI and when to use humans.
This is happening as we speak - AI augmented dev outcomes is no longer a hypothesis -
Recent Jack Dorsey's layoff announcement speaks to this:
we're not making this decision because we're in trouble. our business is strong. gross profit continues to grow, we continue to serve more and more customers, and profitability is improving. but something has changed. we're already seeing that the intelligence tools we're creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly.
Most agencies haven't caught up. They still bill hourly, staff projects with warm bodies, and treat AI as a novelty instead of core infrastructure. You end up paying for time spent, not results delivered.
Fossible Sprints is a different model.
A dedicated dev pod — business analysts, a project manager, and engineers — delivering product development with a fully AI-augmented workflow and enterprise-grade quality guardrails. Flat monthly fee. No hourly billing. No milestone negotiations. You own everything we build.
The Problem with How Teams Buy Development - in a Traditional Sense
Hourly billing creates the wrong incentives. It rewards time spent, not problems solved. Slow is profitable. Efficiency is punished. You end up managing your vendor's timesheets instead of your product roadmap.
Milestone-based pricing sounds better in theory, but in practice it creates endless scope negotiations, change order paperwork, and adversarial dynamics the moment requirements evolve — which they always do, especially in enterprise software.
Staff augmentation gives you bodies, not outcomes. You inherit the management overhead, the onboarding cost, and the quality risk. The vendor gets paid regardless of what ships.
None of these models are designed for the way software should be built in 2026 — fast iterations, AI-augmented execution, and tight feedback loops.
How Fossible Sprints Works
Your Dedicated Dev Pod
Every Sprint subscription gives you a dedicated team:
- 1 Project Manager — owns the sprint cadence, communication, and delivery accountability
- 1–2 Business Analysts — translate your requirements into specs, user stories, and acceptance criteria
- 2–3 Engineers — full-stack developers specialized in the Frappe/ERPNext ecosystem and modern web stacks
- Part-time specialists — DevOps, security, UI/UX, and AI engineering as needed
This isn't a shared pool of freelancers. It's your team — they learn your codebase, your domain, and your standards. They show up every day.
The AI-Augmented Engineering Workflow
Every feature we ship follows a rigorous, AI-augmented pipeline with human oversight at every gate. We believe the best software comes from knowing where humans are irreplaceable and where machines are relentless. Humans own the why and the what — requirements, specs, and the final blessing. AI owns the how — executing with the discipline of battle-tested enterprise practices, obsessive test coverage, and a CI/CD pipeline that has zero concept of "good enough." Every feature ships through a gauntlet that doesn't negotiate, doesn't skip steps, and doesn't sleep. The humans think. The machines enforce. Nothing reaches production that hasn't survived both.
The Shipping Pipeline
Humans think · Machines enforceHuman Domain
The Why & The What
Judgement that cannot be automated. Vision, intent, and the final word.
PlanWrite SpecsReviewIterate
Machine Domain
The How
Relentless execution. Zero compromise. Enterprise-grade discipline on autopilot.
Tests FirstImplementStatic AnalysisArchitecture QACI/CDAuto-Deploy
Convergence
The Blessing
Nothing ships without surviving both. Human eyes. Machine proof. Then production.
AI Code ReviewHuman Code ReviewApproved ✓
This isn't a suggestion — it's enforced. Every feature goes through such an enterprise grade pipeline. No shortcuts.
Model-Optimized AI Execution
We don't throw one model at every task. We use a tiered model strategy that matches the right AI to the right job:
- Opus for planning, architecture decisions, and complex reasoning — it actually uses fewer tokens than Sonnet for planning tasks because it gets it right the first time
- Sonnet for implementation, code generation, and feature development
- Haiku for exploration, quick lookups, and lightweight code tasks
- Hydra AI (our purpose-built Frappe agent) for ERPNext-specific development
This isn't just about cost — it's about quality. Planning with the wrong model creates downstream rework. Implementation with an overqualified model burns budget. We match the model to the task.
Enterprise-Grade Guardrails
AI makes developers faster. Without guardrails, it also makes them faster at shipping bugs. Our quality gates are non-negotiable:
- Test-driven development — tests are written before implementation. The feature isn't done until all tests pass.
- Static analysis on every PR — linting, type checking, and code smell detection
- Architecture review — AI-assisted review of patterns, coupling, and separation of concerns
- AI code review — automated review against best practices of the tech stack we use, security patterns, and performance anti-patterns
- Human code review — a senior engineer reviews every PR before merge. AI assists but doesn't replace.
- OWASP validation — security checks on every endpoint and data flow
- Auto-deployed PRs — every pull request gets a preview deployment so you can test before merge
- Documentation generation — architecture docs and feature specs are maintained as living documents, not afterthoughts
Managing Large Codebases with AI
We've learned — sometimes the hard way — what it takes to use AI effectively on enterprise codebases:
- Without proper documentation, AI goes off the rails. We maintain living markdown specs for every feature and every architectural decision. This is the context the AI needs to stay coherent.
- Context management is everything. We clear and reload context deliberately — not letting the AI accumulate stale assumptions across long sessions.
- Every AI output is validated by humans. We use in-house agents for initial code reviews, security checks, and OWASP validation — but a human always has final say.
- Prompt engineering is infrastructure, not a hack. Our prompts are versioned, tested, and iterated like code.
What You Get
Transparent Communication
- Dedicated Slack channel for real-time communication with your pod
- Weekly sprint reviews with demos of shipped features
- Access to your project's GitHub org — full visibility into every commit, PR, and issue
- Linear board for sprint planning and progress tracking — you see everything we see
Full Ownership
Everything we build is yours. Code, configurations, documentation, AI prompts, deployment scripts — all of it.
- Full access to the codebase from day one
- No proprietary lock-in — your code runs on open infrastructure
- If you decide to bring development in-house, we do a full knowledge transfer
- You own the IP. Period.
Flexibility
- Unlimited scope adjustments — priorities change, and so does the sprint. No change orders, no renegotiations.
- Unlimited consultation calls with any member of the pod — PM, engineer, BA, or DevOps
- Cancel anytime — we earn your renewal every month by shipping, not by contract lock-in
Who This Is For
Fossible Sprints is built for organizations that need serious product development capacity without the overhead of building and managing an in-house team.
- Enterprise software teams that need continuous feature development, customization, and integration work — across any modern tech stack
- Startups that want a senior engineering team from day one without the hiring timeline or cost of building in-house
- Healthcare organizations deploying digital health solutions that need implementation, customization, and ongoing development
- CTOs and VPs of Engineering who need to augment their team's capacity for a specific initiative or product push
- Non-technical founders who need a technical partner to translate product vision into shipped software
- Organizations without a CTO — we can serve as your fractional CTO, owning technical strategy, architecture decisions, vendor evaluations, and engineering leadership so you can focus on your business
Pricing
Flat monthly fee. No hourly billing. No milestone negotiations. No surprises.
Your subscription includes the full dev pod, AI tooling, infrastructure, and all quality guardrails described above.
Talk to us →
We'll review your product roadmap, scope the first sprint, and deliver a proposal within 48 hours.
A Note on How We Think About This
The Medblocks team said it well: the subscription model for development lets teams focus on delivering real results, not tracking hours or negotiating every change. We agree.
At Fossible, we've added one more layer: AI-augmented execution with enterprise guardrails. The result is a team that ships more, ships faster, and ships safer — because every step of the workflow is designed, not improvised.
If something can be done, and you have a Sprint subscription, we'll do whatever we can to get it done for you. Once we do, it's fully yours.
Fossible Sprints is a service of Fossible Works Inc. For case studies and technical deep-dives, visit our solutions page.