Technical Specification for Blockchain Projects: Full Guide
When launching a DeFi protocol, an audit often reveals reentrancy, forcing an urgent rewrite of the logic. Without a clear technical specification, every sprint becomes chaos: developers change functions, and testers can't cover new scenarios. According to statistics, 60% of blockchain projects face reentrancy due to the lack of a specification. A specification helps anticipate such attacks at the design stage. We have gone through 50+ blockchain projects and know: a high-quality technical specification is the foundation for product reliability.
Why a Regular Specification Doesn't Work for Blockchain?
Traditional specifications are designed for centralized systems where bugs can be fixed with a server patch. In blockchain, after a contract is deployed, logic can only be changed through an upgrade strategy — which requires a carefully designed proxy architecture. For example, UUPS proxy, described in the Smart contract documentation of OpenZeppelin, allows contract upgrades via a timelock. In addition, every operation costs gas: a non-optimized call can cost $50 during peak hours. An error in fee calculations makes the product unprofitable. We have seen projects where smart contracts had to be rewritten from scratch because the specification didn't include access role specifications or didn't consider flash loan attacks.
What Sections Should a Blockchain Project Technical Specification Contain?
System Overview
- Project goal and key stakeholders.
- Chosen blockchain (L1/L2) and justification: Ethereum, Polygon, Arbitrum, or Solana.
- High-level architecture with a diagram — interaction of contracts, off-chain components.
- Integrations: oracles (Chainlink), bridge, external protocols.
How to Describe Smart Contracts in the Specification?
Each contract needs a detailed description: function signatures with parameters, emitted events, access roles (AccessControl), configurable parameters. It's important to specify standards (ERC-20, ERC-721, ERC-1155, ERC-4626) and proxy type. Here is an example for a liquidity pool contract:
Contract: LiquidityPool
Network: Arbitrum One
Standards: ERC-20 compatible
Upgradeability: UUPS proxy
Functions:
- deposit(uint256 amount) — deposit tokens, mint LP shares
- withdraw(uint256 shares) — burn LP shares, receive tokens + accumulated fees
- swap(address tokenIn, uint256 amountIn, uint256 minAmountOut) — swap
Events:
- Deposit(address indexed user, uint256 amount, uint256 shares)
- Withdraw(address indexed user, uint256 shares, uint256 amount)
- Swap(address indexed user, address tokenIn, uint256 amountIn, uint256 amountOut)
Roles (Access Control):
- DEFAULT_ADMIN_ROLE: Gnosis Safe 3/5
- PAUSE_ROLE: Protocol Defender (multisig or automated)
- FEE_MANAGER_ROLE: DAO timelock
Parameters (configurable):
- swapFee: 0.3% (range: 0.01%-1%)
- protocolFeeShare: 20% from swap fee
Example of a liquidity pool contract specification: above is a full template — fill it out for each contract. Specify a gas budget: e.g., max gas per deposit = 200k gas. This prevents unexpected costs after deployment.
Token Specification (if any)
Token: PROTO
Standard: ERC-20 + ERC-2612 (Permit)
Supply: 100,000,000 (fixed)
Decimals: 18
Mintable: no (fixed supply)
Burnable: yes (holder can burn)
Pausable: yes (PAUSE_ROLE)
Distributor: special Vesting contract
Off-Chain Components
- Indexer (The Graph subgraph) — which events are indexed, GraphQL schema.
- Backend API (if needed) — endpoints, authentication.
- Frontend — tech stack, wallet integration (wagmi, RainbowKit).
Infrastructure
Deploy:
- Foundry Deploy Scripts + Hardhat for verification
- Multisig owner: Gnosis Safe 3/5
- Timelock: 48 hours for admin functions
- Proxy: UUPS (implementation upgrade through timelock)
Monitoring:
- OpenZeppelin Defender for alerts
- Tenderly for transaction simulation
- The Graph for historical data
Networks for deployment:
- Testnet: Arbitrum Sepolia
- Mainnet: Arbitrum One
Security
- List of smart contract patterns: Reentrancy guard, CEI, checks for oracle manipulation.
- Protection against flash loan attacks: check pool balance before and after swap.
- Access control scheme: each role linked to a specific address (EOA, multisig, DAO).
- Upgrade strategy with timelock: initiation and rollback process.
Testing
Unit tests (Foundry):
- All public functions.
- Edge cases and boundary conditions.
- Revert scenarios.
Fuzz tests:
- Invariants: "totalShares * pricePerShare = totalAssets".
- Random deposit/withdraw sequences.
Fork tests:
- Integration with real protocols on a forked mainnet.
Coverage target: 95%+.
Audit Plan
- Audit scope: which contracts are checked.
- Timeline: audit after code freeze, before mainnet.
- Criteria for readiness: all medium+ findings fixed.
How to Save on Gas with the Specification?
A clearly stated gas budget in the specification forces developers to optimize code from the start. For example, a limit of 200k gas per deposit requires storage-efficient patterns. According to our data, this approach saves up to $20,000 per year on transaction costs. Additionally, a proper upgrade strategy reduces update costs: a project with UUPS and timelock updates in 48 hours with minimal risks — 7 times faster than redeploying the entire contract.
Typical Mistakes in Technical Specifications and How to Avoid Them
Lack of role specification. "Only owner can call this function" — but is the owner an EOA, multisig, or DAO? In the specification, specify specific addresses or roles. Our experience shows that up to 90% of reentrancy attacks occur due to incorrect permission distribution.
No upgrade strategy. Developers decide on the fly — risk of incompatible solutions. Compare: a project without an upgrade strategy, when an error occurs, requires a full redeploy, leading to loss of liquidity and trust. A project with UUPS and timelock updates in 48 hours with minimal risks.
No target gas budget. The contract is written, and then it turns out each call costs $50 in gas. Specify a budget in the specification: e.g., max gas per deposit = 200k gas (for Solidity 0.8.20). This can save up to $20,000 per year on transactions. Lack of specification also leads to additional audit costs of $5,000–$10,000.
Failure scenarios not described. What happens if the oracle is unavailable, if the counterparty does not implement the interface? Write down all alternative paths and pause mechanisms.
What Is Included in Turnkey Specification Writing?
| Section |
Description |
Duration |
| Requirements analysis |
Interview with the client, competitor research, business logic specification |
3-5 days |
| Architecture design |
Choice of L2, stack, contract patterns, upgrade strategy |
2-4 days |
| Smart contract specification |
Functions, events, roles, gas budget, test scenarios |
4-7 days |
| Off-chain description |
Indexer, backend, frontend, integrations with Chainlink, bridge |
2-3 days |
| Infrastructure and monitoring |
Deploy scripts, Defender alerts, Tenderly simulation |
1-2 days |
| Final documentation |
Summary table, checklist for developers, testing and audit plan |
1-2 days |
The entire process takes 1 to 4 weeks depending on complexity. After delivering the specification, you get a document that can be handed over to any development team — it reduces code review and audit time by 30%. If you need assistance in writing a specification, contact us.
How to Build an Upgrade Strategy: Step-by-Step Instructions
- Choose the proxy type: UUPS, Beacon, or Transparent. For most DeFi products, UUPS is suitable — it is cheaper and more flexible.
- Configure governance: multisig Gnosis Safe 3/5 + 48-hour timelock.
- Document the rollback procedure: how to revert to the old version if the new one contains a critical bug.
Comparison of upgrade strategies:
| Parameter |
UUPS |
Transparent |
Beacon |
| Deployment cost |
Low |
Medium |
Low |
| Code complexity |
Medium |
Low |
High |
| Security |
High |
High |
Medium |
| Gas efficiency |
High |
Medium |
High |
We recommend UUPS for contracts with infrequent updates. Get a consultation on your project — we'll help you choose the optimal strategy.
Blockchain Consulting Services: Strategy, Tokenomics, and Tech Stack Selection
Half of blockchain projects that come to us with already written code end up rewriting the architecture within the first year. The reasons are the same: chose Ethereum mainnet for prototyping without checking unit economics — gas makes the product unprofitable; created a governance token without a value capture model — price collapses six months after TGE; or chose Solana for throughput without considering that the team writes in Solidity, not Rust. On one project with 2000 lines of Solidity contracts, we saved the client significant rework costs by switching them to Arbitrum in time.
Consulting is a structured process that answers specific questions before the first line of code is written. Our experience (10+ years in blockchain engineering, 50+ projects delivered) shows that the right architecture at the start saves up to 60% of iteration time. For a personalized consulting fee estimate, contact us.
How to Choose a Blockchain for a Web3 Product?
The deciding factor is the product's transaction model. If daily volume is less than 100 transactions, Ethereum mainnet works, but you overpay for security. Consider Polygon PoS (transaction cost ~$0.001, finality 2–3 seconds, 100% EVM-compatible). If volume is 1,000–100,000 transactions per day and users are sensitive to gas, use Arbitrum One or Optimism. Both are EVM-compatible; transaction cost on Arbitrum ~$0.05–0.15, Optimism ~$0.05–0.10. Arbitrum uses Nitro (WASM-based fraud proofs), Optimism uses Bedrock with OP Stack. Withdrawal window: 7 days for both (optimistic rollup finality). For projects needing instant finality, consider Arbitrum Nova (AnyTrust, cheaper, less decentralized) or ZK rollups.
If you need throughput > 10,000 TPS and latency < 1 second, Solana (400ms block time, ~4,000 TPS sustained, up to 65,000 peak). But: Rust + Anchor instead of Solidity, account model instead of contract storage, learning curve for the team of 3–6 months. Solana has had several downtime incidents — a risk for financial applications. If you need transaction privacy, consider Aztec Network (ZK rollup with private state), Polygon zkEVM with privacy extensions, or Aleo (ZK-native L1 on Leo language). Choosing the wrong network may lead to expensive rework and loss of market window — we see this in every second due diligence.
| Chain |
TPS |
Avg. tx cost |
EVM |
Finality |
Ecosystem |
| Ethereum L1 |
15–30 |
$2–20 |
Native |
~12 min |
Largest |
| Arbitrum One |
40,000+ |
$0.05–0.15 |
Compatible |
7 days (bridge) |
Large |
| Optimism |
2,000+ |
$0.05–0.10 |
Compatible |
7 days (bridge) |
Large |
| Polygon PoS |
7,000+ |
<$0.01 |
Compatible |
~30 min (checkpoint) |
Large |
| Solana |
65,000 peak |
<$0.001 |
No |
~13 sec |
Growing |
| BNB Chain |
2,000+ |
$0.05–0.20 |
Compatible |
~3 min |
Asia-focused |
"Most mistakes in network selection stem from ignoring unit economics — gas can destroy product margins" — from our practice.
Why Do Most Projects Lose Market Capitalization?
Most tokenomics models we analyze have one of three problems.
Problem 1: Token without utility. Governance tokens without fee capture or real decisions are just speculative assets. Compound COMP: 99% of holders never voted. The "vote-escrowed" model (veCRV Curve, vePENDLE) ties voting to lock-up, increasing participation because lockers receive real fee shares.
Problem 2: Inflation without demand sink. Staking rewards without a burning mechanism = constant dilution. EIP-1559 on Ethereum burns base fees, creating deflationary pressure when network usage is high. For application tokens: fee burning (part of protocol fees go to buyback+burn), lock-up mechanisms (reduce circulating supply), real yield (fees distributed to stakers instead of inflationary rewards).
Problem 3: Incorrect vesting for team and investors. Six-month cliff + 18-month linear vesting is standard for private rounds. But if TGE is at a high FDV, the team holds 20%, and the first unlock is in six months — tokens worth a large amount hit the market over two years. The market discounts this from day one. A healthier structure: 12-month cliff, 36-month vesting, with on-chain enforcement via a TokenVesting contract (OpenZeppelin VestingWallet or custom with revoke capability for advisor's unearned tokens).
Tokenomics simulation: We build an agent-based model in Python (Mesa framework) or use TokenSPICE. Parameters: user growth rate, retention, fee per user, staking ratio, selling pressure from unlocks. Result: forecast circulating supply, fee revenue, APY for stakers — in dynamics over 36 months. I guarantee the model accounts for worst-case scenarios — rare in the consulting market.
How Does the Tech Stack Affect Development Speed?
Stack choice determines iteration speed and hiring pool. Our team's certified professionals work with Solidity, Rust, Move, Vyper.
Solidity + Hardhat vs Foundry. Foundry wins for serious contracts: Forge tests in Solidity (no context switching), fuzzing built-in (forge fuzz), fork testing with one command (vm.createFork), gas snapshots for regression. Hardhat remains for TypeScript-heavy tests or when plugin ecosystem is needed (ethers-hardhat, hardhat-deploy). Combination: Foundry for unit/fuzz, Hardhat for deployment scripts.
Frontend: ethers.js vs wagmi/viem. ethers.js v5 is monolithic. wagmi v2 + viem is React-first, type-safe (viem generates TypeScript types from ABI), works better with React Query, supports EIP-1193 providers out of the box. For new React projects, use wagmi/viem. For existing ones with ethers.js, don't migrate just for migration's sake.
Indexing: The Graph (decentralized, subgraphs in AssemblyScript) vs Ponder (TypeScript-native indexer, good for in-house deployment) vs Moralis/Alchemy SDK (managed, fast setup, vendor lock-in). The Graph is standard for protocols needing a decentralized indexing layer. Ponder is for teams wanting control and TypeScript without AssemblyScript.
What Is the Consulting Process?
-
Discovery session (3–5 business days) — audit of current state, team interviews, requirements gathering. Result: hypotheses on stack and tokenomics.
-
Technical due diligence (if product exists) — surface-level audit of contracts, backend architecture, tokenomics model.
-
Development of Architecture Decision Record (ADR) — document with trade-offs on network, stack, tokenomics.
-
Building a tokenomics model with simulation — agent-based simulation over 36 months.
-
Delivery of documentation and templates — ADR, scripts, boilerplate repository, team training (2–4 hours).
Engagement model: fixed retainer (monthly, 20–40 hours) or project-based (deliverable-based). For pre-seed/seed startups, project-based format avoids diluting budget on a constant retainer.
Typical stack selection mistakes (case from practice)
A client chose Polygon PoS for an NFT marketplace with high transaction frequency. After launch, checkpoint finality (~30 minutes) frustrated users — they waited for confirmation. Migrated to Arbitrum Nova (AnyTrust) with 1-second finality. The rework cost substantial time and money. If the discovery had considered finality requirements, these costs could have been avoided.
What Is Included in the Work?
| Deliverable |
Description |
Format |
| Architecture Decision Record (ADR) |
Justification for network, stack, tokenomics |
Markdown document + PDF |
| Tokenomics model with simulation |
Agent-based model over 36 months |
Python script + report |
| Technical due diligence of existing code |
Audit of contracts, backend, tokenomics |
Document with recommendations |
| Integration documentation |
API specs, configs, examples |
Markdown + code snippets |
| Access to template repository |
Hardhat/Foundry boilerplate, VestingWallet |
GitHub private repo |
| Team training (2–4 hours) |
Architecture walkthrough, best practices, demo |
Online session with recording |
Timelines and Cost Guidelines
- Discovery + ADR — from 1 to 2 weeks. Cost: calculated individually.
- Full tokenomics (model + simulation + documentation) — from 3 to 6 weeks.
- Tech stack audit of existing project — from 1 to 3 weeks.
- Ongoing advisory retainer — from 3 months (minimum horizon for meaningful impact).
Choosing the wrong network or tokenomics early on can cost a project tens of thousands in rework — every second discovery session confirms this. Contact us for an expert assessment of your project in a free 60-minute briefing. Book a consultation — and we'll show you how to avoid common mistakes. For an individual cost and timeline estimate, leave a request on our website.