SKU: 96127399516

COMP Cams Camshaft CS X4 250H-11

Sale price$129.60 Regular price$144.00
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Description

COMP Cams Camshaft CS X4 250H-11Fits Chevrolet GEN 1 Small Blocks including the 262, 265, 267, 283, 302, 305, 307, 327, 350 and 400. Does not fit LT1 LT4, or factory roller Small Blocks built from 1985 and newer. GM gradually added roller camshafts to 305's and 350's from the mid 80's forward. Camaros Firebirds Corvettes received the roller cams early, but many trucks and SUV's had flat tappet cams until the mid 90's. Remove the intake or timing cover to confirm whether the block is

Fits Chevrolet GEN 1 Small Blocks including the 262, 265, 267, 283, 302, 305, 307, 327, 350 and 400. Does not fit LT1/LT4, or factory roller Small Blocks built from 1985 and newer. GM gradually added roller camshafts to 305's and 350's from the mid 80's forward. Camaros/Firebirds/Corvettes received the roller cams early, but many trucks and SUV's had flat tappet cams until the mid 90's. Remove the intake or timing cover to confirm whether the block is a factory roller or flat tappet. Does not fit the LS1, LS2, LS3 or any LS-based 4.8, 5.3, 5.7, 6.0 and 6.2. 1955-1957 Chevrolet 265 engines require a groove on the 5th cam journal for oiling. Contact us for more information.

This Part Fits:

Year Make Model Submodel
1995-1996 AM General Hummer Base
1980-1985,1987-1991 Avanti II Base
1985 Avanti II GT
1980 Buick Century Base
1980 Buick Century Estate
1980 Buick Century Limited
1991-1996 Buick Commercial Chassis Base
1980 Buick Regal Base
1980 Buick Regal Limited
1992-1995 Buick Roadmaster Base
1996 Buick Roadmaster Collector's Edition
1991-1995 Buick Roadmaster Estate Wagon
1996 Buick Roadmaster Estate Wagon Collector's Edition
1992-1995 Buick Roadmaster Limited
1996 Buick Roadmaster Limited Collector's Edition
1990-1992 Cadillac Brougham Base
1990-1992 Cadillac Brougham d'Elegance
1994-1996 Cadillac Commercial Chassis Base
1992-1996 Cadillac Commercial Chassis Brougham
1993-1996 Cadillac Fleetwood Base
1993-1996 Cadillac Fleetwood Brougham
1980-1982 Checker Marathon Base
1980-1982 Checker Marathon Deluxe
1994 Chevrolet Blazer Base
1992-1993 Chevrolet Blazer Cheyenne
1987 Chevrolet Blazer Custom Deluxe
1988-1991 Chevrolet Blazer Scottsdale
1987-1994 Chevrolet Blazer Silverado
1994 Chevrolet Blazer Silverado Sport
1980 Chevrolet C10 Big Ten
1980-1981 Chevrolet C10 Cheyenne
1981-1986 Chevrolet C10 Custom
1980 Chevrolet C10 Custom Deluxe
1981 Chevrolet C10 Deluxe
1980-1986 Chevrolet C10 Scottsdale
1980-1986 Chevrolet C10 Silverado
1981-1986 Chevrolet C10 Suburban Custom
1980 Chevrolet C10 Suburban Custom Deluxe
1981 Chevrolet C10 Suburban Deluxe
1980,1982,1984-1986 Chevrolet C10 Suburban Scottsdale
1980,1982-1986 Chevrolet C10 Suburban Silverado
1994-1995 Chevrolet C1500 Base
1988-1995 Chevrolet C1500 Cheyenne
1988-1992 Chevrolet C1500 Scottsdale
1988-1995 Chevrolet C1500 Silverado
1990-1995 Chevrolet C1500 WT
1992-1995 Chevrolet C1500 Suburban Base
1995 Chevrolet C1500 Suburban LS
1995 Chevrolet C1500 Suburban LT
1992-1994 Chevrolet C1500 Suburban Silverado
1980-1981 Chevrolet C20 Cheyenne
1981-1986 Chevrolet C20 Custom
1980 Chevrolet C20 Custom Deluxe
1981 Chevrolet C20 Deluxe
1980-1986 Chevrolet C20 Scottsdale
1980-1986 Chevrolet C20 Silverado
1981-1986 Chevrolet C20 Suburban Custom
1980 Chevrolet C20 Suburban Custom Deluxe
1981 Chevrolet C20 Suburban Deluxe
1980,1982,1984-1986 Chevrolet C20 Suburban Scottsdale
1980,1982-1986 Chevrolet C20 Suburban Silverado
1994-1995 Chevrolet C2500 Base
1988-1995 Chevrolet C2500 Cheyenne
1988-1992 Chevrolet C2500 Scottsdale
1988-1995 Chevrolet C2500 Silverado
1994-1995 Chevrolet C2500 WT
1992-1995 Chevrolet C2500 Suburban Base
1995 Chevrolet C2500 Suburban LS
1995 Chevrolet C2500 Suburban LT
1992-1994 Chevrolet C2500 Suburban Silverado
1980-1981 Chevrolet C30 Cheyenne
1981-1986 Chevrolet C30 Custom
1980 Chevrolet C30 Custom Deluxe
1981 Chevrolet C30 Deluxe
1980-1986 Chevrolet C30 Scottsdale
1980-1986 Chevrolet C30 Silverado
1994-1995 Chevrolet C3500 Base
1988-1995 Chevrolet C3500 Cheyenne
1988-1992 Chevrolet C3500 Scottsdale
1988-1995 Chevrolet C3500 Silverado
1980 Chevrolet Camaro Base
1980-1986 Chevrolet Camaro Berlinetta
1985-1986 Chevrolet Camaro Iroc-Z
1980 Chevrolet Camaro Rally Sport
1981-1986 Chevrolet Camaro Sport
1980-1986 Chevrolet Camaro Z28
1982 Chevrolet Camaro Z28 Indianapolis 500 Pace Car
1986-1992 Chevrolet Caprice Base
1980-1996 Chevrolet Caprice Classic
1986-1990 Chevrolet Caprice Classic Brougham
1981-1982 Chevrolet Caprice Classic Estate
1980-1981 Chevrolet Caprice Classic Landau
1993-1994 Chevrolet Caprice Classic LS
1987-1990 Chevrolet Caprice Classic LS Brougham
1991-1993 Chevrolet Caprice Classic LTZ
1980 Chevrolet Caprice Classic Sport
1991-1994 Chevrolet Commercial Chassis Base
1980-1982,1984-1986 Chevrolet Corvette Base
1982 Chevrolet Corvette Collector's Edition
1986 Chevrolet Corvette Indianapolis 500 Pace Car
1980-1987 Chevrolet El Camino Base
1981-1986 Chevrolet El Camino Conquista
1980-1981 Chevrolet El Camino Royal Knight
1980-1987 Chevrolet El Camino SS
1996 Chevrolet Express 2500 LS
1983 Chevrolet G10 Base
1980-1995 Chevrolet G10 Beauville
1981-1984,1986-1987 Chevrolet G10 Bonaventure
1980-1995 Chevrolet G10 Chevy Van
1980-1995 Chevrolet G10 Sportvan
1980-1995 Chevrolet G20 Beauville
1983-1984 Chevrolet G20 Bonaventure
1980-1995 Chevrolet G20 Chevy Van
1980-1981 Chevrolet G20 Nomad
1980-1995 Chevrolet G20 Sportvan
1980-1996 Chevrolet G30 Beauville
1983-1984 Chevrolet G30 Bonaventure
1980-1996 Chevrolet G30 Chevy Van
1980-1996 Chevrolet G30 Hi-Cube
1980-1996 Chevrolet G30 Sportvan
1980-1985 Chevrolet Impala Base
1981-1982 Chevrolet Impala Estate
1980 Chevrolet Impala Sport
1994-1996 Chevrolet Impala SS
1980-1981 Chevrolet K10 Cheyenne
1981-1986 Chevrolet K10 Custom
1980 Chevrolet K10 Custom Deluxe
1981 Chevrolet K10 Deluxe
1980-1986 Chevrolet K10 Scottsdale
1980-1986 Chevrolet K10 Silverado
1981-1986 Chevrolet K10 Suburban Custom
1980 Chevrolet K10 Suburban Custom Deluxe
1981 Chevrolet K10 Suburban Deluxe
1980,1982,1984-1986 Chevrolet K10 Suburban Scottsdale
1980,1982-1983,1985-1986 Chevrolet K10 Suburban Silverado
1994-1995 Chevrolet K1500 Base
1988-1995 Chevrolet K1500 Cheyenne
1988-1992 Chevrolet K1500 Scottsdale
1988-1995 Chevrolet K1500 Silverado
1991 Chevrolet K1500 Sport
1990-1995 Chevrolet K1500 WT
1992-1995 Chevrolet K1500 Suburban Base
1995 Chevrolet K1500 Suburban LS
1995 Chevrolet K1500 Suburban LT
1992-1994 Chevrolet K1500 Suburban Silverado
1980-1981 Chevrolet K20 Cheyenne
1981-1986 Chevrolet K20 Custom
1980 Chevrolet K20 Custom Deluxe
1981 Chevrolet K20 Deluxe
1980-1986 Chevrolet K20 Scottsdale
1980-1983,1985-1986 Chevrolet K20 Silverado
1981-1986 Chevrolet K20 Suburban Custom
1980 Chevrolet K20 Suburban Custom Deluxe
1981 Chevrolet K20 Suburban Deluxe
1980,1982,1984-1986 Chevrolet K20 Suburban Scottsdale
1980,1982-1983,1985-1986 Chevrolet K20 Suburban Silverado
1994-1995 Chevrolet K2500 Base
1988-1995 Chevrolet K2500 Cheyenne
1988-1992 Chevrolet K2500 Scottsdale
1988-1995 Chevrolet K2500 Silverado
1994-1995 Chevrolet K2500 WT
1992-1995 Chevrolet K2500 Suburban Base
1995 Chevrolet K2500 Suburban LS
1995 Chevrolet K2500 Suburban LT
1992-1994 Chevrolet K2500 Suburban Silverado
1980-1981 Chevrolet K30 Cheyenne
1981-1986 Chevrolet K30 Custom
1980 Chevrolet K30 Custom Deluxe
1981 Chevrolet K30 Deluxe
1980-1986 Chevrolet K30 Scottsdale
1980-1986 Chevrolet K30 Silverado
1994-1995 Chevrolet K3500 Base
1988-1995 Chevrolet K3500 Cheyenne
1988-1992 Chevrolet K3500 Scottsdale
1988-1995 Chevrolet K3500 Silverado
1980 Chevrolet K5 Blazer Cheyenne
1981-1986 Chevrolet K5 Blazer Custom
1980 Chevrolet K5 Blazer Custom Deluxe
1981 Chevrolet K5 Blazer Deluxe
1984 Chevrolet K5 Blazer Scottsdale
1980-1986 Chevrolet K5 Blazer Silverado
1980-1981 Chevrolet Malibu Base
1980-1983 Chevrolet Malibu Classic
1980 Chevrolet Malibu Classic Estate
1980-1981 Chevrolet Malibu Classic Landau
1980 Chevrolet Malibu Classic Sport
1980 Chevrolet Malibu Estate
1980 Chevrolet Malibu Sport
1981-1988 Chevrolet Monte Carlo Base
1983 Chevrolet Monte Carlo CL
1980-1981 Chevrolet Monte Carlo Landau
1986-1988 Chevrolet Monte Carlo LS
1980 Chevrolet Monte Carlo Sport
1983-1988 Chevrolet Monte Carlo SS
1980-1989 Chevrolet P20 Base
1980-1985,1987-1989 Chevrolet P20 Step-Van
1980-1996 Chevrolet P30 Base
1980-1985,1987-1990 Chevrolet P30 Step-Van
1987 Chevrolet R10 Custom Deluxe
1987 Chevrolet R10 Scottsdale
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SKU: 96127399516

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4.7 ★★★★★
Based on 26 reviews
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B
Brahmananda Reddy
Cuba, US
★★★★★ 5
Practical AI Engineering Beyond Prompts — One of the Better Books on Agentic Coding
Format: Paperback
This book is not another “AI coding hype” book. A lot of books talk about agents at a very high level. This one actually explains how things work when you try to use them inside real development workflows. That was the biggest difference for me. What I liked most was the focus on context engineering, memory, MCP, hooks, subagents, and workflow orchestration instead of just “prompt better.” The author spends time explaining why long-running agent systems fail, how context grows over time, and why most AI coding setups become messy without structure. The examples also feel practical — The HookHub project, Next.js setup, GitHub workflows, Claude memory files, and MCP integrations make it easier to connect theory with actual implementation. From my retail domain experience perspective, I could immediately connect this to forecasting and pricing workflows. For example: * agents helping analysts generate specs before model development * automated code review for promo forecasting pipelines * isolated subagents for pricing, promotions, assortment * persistent memory for business rules across teams * MCP integrations to pull context from internal systems safely The section around context isolation and subagents especially stood out because that is very similar to how enterprise forecasting teams already operate in reality. Different teams own different decision spaces. One thing I appreciated: the author does not oversell AI. There is a strong focus on constraints, context pollution, hallucinations, performance degradation, and workflow reliability. That makes the book feel grounded instead of marketing-heavy. This is not for complete beginners though. If someone has never worked with Git, APIs, coding agents, or LLM workflows, parts of the book may feel overwhelming early on. The author clearly says this is not beginner-level content. Overall, probably one of the more practical books I have read recently on agentic coding systems. Good for: * software engineers * AI engineers * enterprise architecture teams * technical product teams * analytics leaders trying to operationalize AI development workflows Especially useful if your organization is trying to move from “AI demos” into actual production workflows.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
U
UA
Phoenix, US
★★★★★ 5
A Good Reality Check on How AI Agents Actually Work in Enterprise Systems
Format: Paperback
Most AI books stop at prompts. This one goes deeper into how agent systems actually behave once you try to use them inside large workflows with memory, tools, permissions, automation, and multiple agents working together. That part felt very relevant for healthcare and enterprise environments. The book does a good job explaining why context engineering matters and how poor context handling creates hallucinations, inconsistent outputs, and degraded performance over time. Honestly, that is one of the biggest problems organizations underestimate right now. In healthcare workflows, context matters a lot: * prior interactions * business rules * auditability * escalation logic * safety constraints * tool permissions * workflow boundaries The sections on persistent memory, scoped context, subagents, and structured workflows connected strongly to that reality. I work in enterprise analytics, and while reading this book I kept thinking about use cases like: * pharmacy workflow automation * prior authorization support systems * coding assistants for healthcare engineering teams * AI copilots for operational analytics * agent-based escalation systems * claims and workflow orchestration The MCP chapters were also useful because they explain integration challenges clearly instead of treating tooling as magic. What made this book stand out for me was the balance between implementation and architecture. The author explains: * why long contexts fail * how context poisoning happens * why isolation matters * when parallel agents help * when they actually create more complexity That level of honesty is missing in many AI books right now. Another thing: the examples are not overly academic — The Next.js project setup, GitHub automation, Claude desktop workflows, memory systems, hooks, and subagents make the learning process feel practical and hands-on. One limitation: this book assumes technical background. Someone completely new to coding agents, LLMs, Git, or development workflows may struggle in the first few chapters. But for engineers, AI teams, enterprise architects, and technical leaders trying to understand where agentic coding is actually going, this book is worth reading. Especially for organizations trying to operationalize AI safely instead of just experimenting with chatbots.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
C
Christopher West
Dallas, US
★★★★★ 5
Great book! Practical and for developers that already use AI!
Format: Paperback
I purchased "Agentic Coding" by Claude Code due to my desire for an alternative to generic "Prompt Template" type resources related to AI-based development. This book accomplishes just that. As opposed to merely viewing Claude Code as a "magic box", the author has explained how to utilize it in conjunction with other actual development processes. The authors' emphasis on "context engineering" (i.e., structuring data/information; managing knowledge in a project; guiding an AI agent to produce consistent results vs. producing random/unknown results) represents the strongest component of the book. It should be noted that the book appears to be intended primarily for experienced developers with prior experience in software development and/or familiarity with AI-based development tools. Should you be familiar with Git, the command-line interface, and/or modern development processes, you may find this resource very helpful. Conversely, I did appreciate the fact that there were no novice-oriented descriptions provided throughout the book. The aspect of the book that I found most valuable, however, is the extremely pragmatic nature of the material contained within. The examples illustrated through developing/maintaining CLAUDE.md files; utilizing Claude Code in combination with GitHub Workflows; employing MCP Servers; and creating multi-agent or sub-agent workflows all seemed to reflect a clear focus on "real world usage" rather than theoretical constructs. In addition, each chapter builds upon previous chapters in such a manner as to provide a logical progression through which the reader can easily understand and ultimately implement the concepts learned. I also appreciated that the author included guidance on responsible utilization of the tool(s), as well as maintaining control over what changes are made by the agent. While numerous books regarding AI focus solely on what AI tools can accomplish, this book addresses both how to utilize these tools effectively in a real codebase, as well as responsibility and safety considerations. In summary, this is not a book for individuals completely inexperienced in either programming or generative AI. However, if you are currently experimenting with tools such as Claude, Cursor, GitHub Actions, or MCP, this is likely one of the more useful and practical books available on the subject. Recommended for software engineers seeking to transition from simply "prompting an AI" into establishing a repeatable/professional workflow process surrounding agentic coding.
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Reviewed in the United States on April 11, 2026
P
Paul Pollock
Omaha, US
★★★★★ 4
⭐⭐⭐⭐ (so far)
Format: Paperback
I'm maybe a third of the way through this and already rethinking how I talk to coding agents. The reframe from "prompt engineering" to "context engineering" sounds like semantics until Marco walks you through why context poisoning, context clash, the Goldilocks zone for system prompts. That chapter alone reorganized something in my head. I keep going back to the line about garbage in, garbage out being the real reason agentic systems underperform. The hands-on stuff lands well too. Building the HookHub project from scratch, wiring up Playwright MCP, watching Claude generate a CLAUDE.md file and then not automatically loading a memory file you just created — that moment where you expect magic and get silence instead? That's the kind of honest teaching I appreciate. It made the "why" behind memory hierarchies click.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 12, 2026
J
Jonathan Reeves
Massapequa, US
★★★★★ 5
Essential Reading for Developers Serious About Agentic AI Workflows with Claude Code
Format: Paperback
Agentic Coding with Claude Code is easily one of the most practical and forward-thinking AI development books I’ve read. Instead of treating Claude Code like a simple chatbot, this book shows how to turn it into a true agentic development platform capable of handling real-world engineering workflows. What I appreciated most was how actionable the content is. The explanations around slash commands, hooks, persistent memory files, and MCP servers are incredibly clear and immediately useful. The author does an excellent job balancing foundational concepts with hands-on implementation, making advanced topics like multi-agent orchestration and hierarchical delegation approachable for experienced developers. The chapters on MCP and context engineering were especially valuable. Most AI books stay at the surface level, but this one dives deep into structured context sharing, workflow automation, and scalable AI-assisted development practices that actually matter in production environments. I also liked that the book focuses heavily on maintainability and control. It doesn’t just show flashy demos—it teaches how to safely integrate AI agents into existing terminal and IDE workflows while enforcing coding standards and keeping projects organized. The examples using Claude Code with Next.js projects were practical and helped connect the concepts to real software engineering scenarios. The sections on subagents, planning workflows, and reusable automation patterns opened my eyes to entirely new ways of approaching AI pair programming and development productivity. If you are a developer, AI engineer, or technical lead looking to move beyond basic prompt engineering and build reliable, scalable AI-assisted workflows, this book is absolutely worth reading. Highly recommended for anyone serious about modern agentic coding and AI-powered software development.
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Reviewed in the United States on May 9, 2026

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