Repository-aware AI workflows
Work against the real project instead of a pasted fragment, with read and write boundaries you decide.
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Live webinarComing soon
AI Development Accelerator
Build More With AI Without Losing Engineering Control
A practical session on repository-aware AI workflows, structured engineering tasks, reusable project knowledge, model selection, cost control, and verification.
Next edition not scheduled yetOnline · English
If any of this sounds familiar
- AI conversations disconnected from the repository.
- The same project rules explained again in every new chat.
- Expensive models used for every task, regardless of difficulty.
- Business intent that reaches developers incomplete or ambiguous.
- Generated code that looks plausible but violates project conventions.
- Coordination overhead between owners, managers, and developers.
What you will take away
Each block is worked through end to end during the session, on a real repository.
From idea to executable engineering task
Turn a business-level request into a task with acceptance criteria, constraints, and expected tests, without asking the requester to write a specification.
Reusable project knowledge and skills
Stop reteaching the same conventions. Know what becomes a reusable rule and what belongs in documentation.
Model routing and AI cost control
Match the class of model to the class of task, and measure useful output instead of token consumption.
Testing and verification of AI-generated work
Treat tests as executable constraints, limit blast radius, and catch work that only looks correct.
Multi-tool and multi-agent workflow design
Separate planning, implementation, review, and verification, and recognise when extra agents only add noise.
Remote idea capture without losing project context
Capture work from a phone or laptop as structured repository artifacts a developer can pull.
Want this session when the next edition opens?
Leave your email and you get the date before it is announced publicly.
Live demonstration
See a business-level request transformed into repository-aware engineering work, including context gathering, task structure, implementation constraints, and verification.
Who it is for
Business and technical leaders
- Founders
- CTOs
- Technical managers
- Product owners supervising software work
Developers and technical leads
- Developers already using coding agents
- Team leads designing AI-assisted workflows
- Engineers interested in context, model routing, testing, and automation
Experienced developers may already know several of these techniques individually. The value is the integrated workflow and the patterns that keep it working under real project constraints.
What is included
- Live session and Q&A
- Task and specification template
- Project-context checklist
- Model-routing decision table
- Validation checklist
- A sanitized example repository
Exact contents may vary per edition and are confirmed when the edition opens.
Pablo G. Bozzolo
Founder / CEO, QuantaSolver
- PHONE:
- EMAIL:
- contact@quantasolver.com
- JOIN:
- EXPIRE:
- NEVER
Speaker
Pablo G. Bozzolo
Founder / CEO, QuantaSolver
Software architect working on developer tooling, automation, and reusable development infrastructure. The AI-assisted delivery workflow presented in this session is day-to-day production practice, not a demo built for the slides.
Credential verifiable at /verify/founder
Frequently asked
- Is this for developers or for business owners?
- Both, on separate tracks. Leaders leave with a way to hand off work; developers leave with the workflow that executes it.
- Do I need to use a specific AI model or vendor?
- No. The session is vendor-neutral. Model routing is presented as a decision method, not as a product recommendation.
- Is this a coding tutorial?
- No. It is about workflow architecture: how the engineering system around the model determines the result.
- Will the session be recorded?
- Replay availability depends on the edition and is stated per edition.
- Are templates and resources included?
- Yes. Attendees receive a resource pack of templates and checklists.
- Experienced developers may already know some of this. Is it still useful?
- Individual techniques are often already known. The value is the integrated workflow and the implementation patterns that hold it together.
- Can QuantaSolver apply this workflow inside my company?
- Yes, as a separate engagement. The webinar is the workflow; the audit and setup are done privately.
Design a development system around AI instead of collecting prompt tricks.
No edition is open yet. The priority list decides when the next one runs.