Subvolts take AI now completes most enterprise software projects in days, not years. Feb 5, 2026 - Developers
- Learn how AI can autonomously complete over 80% of enterprise software projects and how AI memory is prioritized over fine-tuning.
- Business
- Understand how AI can accelerate enterprise software development by up to 5x and explore new pricing models for AI-driven code generation.
This interview features founders of a company claiming significant AI code generation capabilities, offering a practical look at enterprise AI adoption.
Infinite Code Context: AI Coding at Enterprise Scale w/ Blitzy CEO Brian Elliott & CTO Sid Pardeshi
Audio streams from Erik Torenberg, Nathan Labenz. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
The Cognitive Revolution podcast features Blitzy CEO Brian Elliott and CTO Sid Pardeshi discussing their "infinite code context" system. They explain how it enables AI to autonomously complete over 80% of major enterprise software projects rapidly. The conversation covers their dynamic agent architecture, model selection, AI memory focus, and pricing, along with implications for software engineering jobs.
Imagine AI writing most of your company's computer programs automatically. Blitzy uses a special system to let AI remember and understand huge amounts of code, letting it build software much faster. This could change how software is made.
This episode offers insight into a company claiming significant AI-driven code generation capabilities. It's for developers and business leaders interested in AI's impact on software development speed and cost. The discussion on dynamic agents and AI memory aligns with current frontier lab research in agentic AI and long-context models, showing practical enterprise applications of these evolving AI technologies.
- HostNathan Labenz
- GuestBrian ElliottCEO, Blitzy
- GuestSid PardeshiCTO, Blitzy
- Episode Title: Infinite Code Context: AI Coding at Enterprise Scale w/ Blitzy CEO Brian Elliott & CTO Sid Pardeshi
- Show: The Cognitive Revolution
- Length: 117 minutes
- AI Autonomous Project Completion: Over 80% of major enterprise software projects
- Project Completion Time: In days
- Pricing Model: 20¢/line
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 https://blitzy.com
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 https://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 https://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 https://claude.ai/tcr
CHAPTERS:
(00:00) About the Episode
(03:02) AGI effects without AGI
(07:07) Domain-specific context engineering
(16:54) Dynamic harness and evals (Part 1)
(17:00) Sponsors: Blitzy | Tasklet
(20:00) Dynamic harness and evals (Part 2)
(30:42) Graphs, RAG, and memory (Part 1)
(30:49) Sponsor: Serval
(32:26) Graphs, RAG, and memory (Part 2)
(41:17) Model zoo and memory
(50:07) Planning, scaling, and parallelism
(56:13) Pricing, onboarding, and autonomy
(01:04:24) Closing the last 20%
(01:12:34) Strange behaviors and judges
(01:22:23) Reasoning budgets and autonomy
(01:33:36) Fine-tuning, benchmarks, and training
(01:42:31) Securing AI-generated code
(01:49:52) Future of software work
(01:57:05) Outro
PRODUCED BY:
SOCIAL LINKS:
Website: https://www.cognitiverevolution.ai
Twitter (Podcast): https://x.com/cogrev_podcast
Twitter (Nathan): https://x.com/labenz
LinkedIn: https://linkedin.com/in/nathanlabenz/
Youtube: https://youtube.com/@CognitiveRevolutionPodcast
Apple: WithCameron Berg, Everett Hildenbrandt, Grigore Rosu, Phil Maher WithThomas Sohmers, swyx, Evan Miyazono, Edward Hu WithBrian Elliott, Emad Mostaque, Dave Blundin Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Erik Torenberg, Nathan Labenz.1 h 27AI:AM: Where's the Steering Wheel? My Agent Set the Password, Hidden Valence, Proofs Find Linux Bugs
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