
"The Cognitive Revolution"· Staffel 1
Infinite Code Context: AI Coding at Enterprise Scale w/ Blitzy CEO Brian Elliott & CTO Sid Pardeshi
Donnerstag, 5. Februar 2026 · 1 h 57
Kapitelklicken springt direkt hin
Shownotes
Blitzy founders Brian and Sid break down how their “infinite code context” system lets AI autonomously complete over 80% of major enterprise software projects in days. They dive into their dynamic agent architecture, how they choose and cross-check different models, and why they prioritize advances in AI memory over fine-tuning. The conversation also covers their 20¢/line pricing model, the path to 99%+ autonomous project completion, and what this all means for the future software engineering job market.
Sponsors:
Blitzy:
Blitzy is the autonomous code generation platform that ingests millions of lines of code to accelerate enterprise software development by up to 5x with premium, spec-driven output. Schedule a strategy session with their AI solutions consultants at blitzy.com/customsoftwarebooking?utm_source=co…
Tasklet:
Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at tasklet.ai
Serval:
Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at serval.com/cognitive
Claude
Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at claude.ai/tcr (claude.ai/tcr)
CHAPTERS:
() About the Episode
() AGI effects without AGI
() Domain-specific context engineering
() Dynamic harness and evals (Part 1)
() Sponsors: Blitzy | Tasklet
() Dynamic harness and evals (Part 2)
() Graphs, RAG, and memory (Part 1)
() Sponsor: Serval
() Graphs, RAG, and memory (Part 2)
() Model zoo and memory
() Planning, scaling, and parallelism
() Pricing, onboarding, and autonomy
() Closing the last 20%
() Strange behaviors and judges
() Reasoning budgets and autonomy
() Fine-tuning, benchmarks, and training
() Securing AI-generated code
() Future of software work
() Outro
PRODUCED BY:
SOCIAL LINKS:
Website: cognitiverevolution.ai
Twitter (Podcast): x.com/cogrev_podcast
Twitter (Nathan): x.com/labenz
LinkedIn: linkedin.com/in/nathanlabenz
Youtube: youtube.com/@CognitiveRevolutionPodcast