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:

https://aipodcast.ing

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: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431

Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk